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Achievements

Achievement: YOLOAchievement: QuickdrawAchievement: Pair ExtraordinaireAchievement: Pull Sharkx2

Achievements

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choiyounggi/README.md

Younggi Choi — I build the harness AI codes inside

English | 한국어

Younggi Choi

I build the harness AI codes inside

The safety and verification layer for agentic coding —
hooks, skills, and MCP servers that make an AI harness trustworthy enough to run unattended.

Most AI coding effort goes into the prompt. I think the leverage is one layer below that — in the harness: the hooks that stop an agent before it force-pushes, the skills that encode a procedure so it isn't re-derived every session, the MCP servers that hand an agent real context instead of guesses, and the memory that survives a /clear. An agent is only as good as the environment you put it in. That environment is what I build. Three projects carry most of that work.

linkly — a language designed for an LLM, not a typist

Existing languages were designed to be easy for humans to write. From here on, most code is generated — so what does a language look like when it's designed to be easy for an LLM to reason about and optimize?

Developer → Intent (what) → LLM → Semantic IR → Native Optimizer → Machine Code

You declare goals and business rules; the compiler and an agent pipeline design, implement, verify, and optimize the rest. .lnpl parses and lowers to a semantic IR, runs on an IR interpreter and compiles through MLIR to a native binary — and a differential check confirms both modes agree on execution order, policy outcome, observability signals, and masking. OpenAPI is generated from the IR. Next: a custom lnpl MLIR dialect.

groundwork — the base layer every agent I run sits on

Guardrail hooks, memory system, skill architecture, audit logging — the base layer every agent I run sits on. Written after learning the hard way that a guard regex which matches everything is indistinguishable from one that matches nothing, so the hooks ship with both-direction regression tests: a mention passes, an execution blocks. A guard you haven't tried to fool is decoration.

cliclaw — four coding agents, driven from your phone
npm install -g @younggichoi/cliclaw

A Telegram bot driving Claude Code, Codex, Pi, and Gemini CLI as a macOS daemon. Per-chat agent sessions, a confirm gate before anything destructive, response streaming, image attachments, auto-installed launchd, and corporate-TLS (Zscaler) auto-detection.

The rest of the harness

claude-secretmodeLeave-no-trace Claude Code sessions — runs on a RAM disk so transcripts, prompt history, and file snapshots never touch disk, while still inheriting keychain auth, MCP servers, hooks, and skills. npm i -g @younggichoi/claude-secretmode
dev-loopKnowledge management for coding agents — wiki-grounded verification, RFC-based docs, and best-practice capture that feeds the next task instead of being relearned.
loop-orchestratorMulti-agent orchestration — parallel execution, TDD/PDCA/Reflexion loops, test-quality audit, merge-gate verification.
dev-llm-wikiCase-routed engineering knowledge written to be loaded as minimal working context by an agent, not read by a human. One case per page, routed by domain.
awesome-claude-pluginsPlugins that extend Claude Code with commands, agents, hooks, and MCP servers.
awesome-cli-coding-agentsTerminal-native coding agents and the harnesses that orchestrate them — Pi, OpenCode, Aider, Goose, Claude Code, Codex, Gemini CLI, parallel runners, autonomous loops.
Also shipped — services and utilities
korea-data-suiteClean REST APIs over Korean public data — nationwide real-estate transaction prices (MOLIT) and public holidays (KASI), normalized to plain English JSON.
chungyak-alimiHousing-subscription notices pulled from official open APIs into PostgreSQL, matched against your criteria, pushed to Telegram, browsable on a FastAPI dashboard with parcel polygons. Runs on a Raspberry Pi under systemd.
mac-inputlockLock your Mac's keyboard and mouse while the screen stays on — ⌃⌥⌘L. For wiping the keyboard, or cat-proofing.
meetingSummaryOn-device meeting transcription and summarization on macOS.
ai-gossipWhat several models say about each other when they think you've left the room.

Activity

GitHub statsMost used languages

Contribution streak

Cards are generated by a scheduled workflow and committed to this repo, so they don't break when a public widget host goes down.

Building in public. If you work on agent harnesses, MCP, or LLM automation,
open an issue on any of these — I answer.

Pinned Loading

  1. linklylinklyPublic

    An LLM-native programming language: you declare intent, and it lowers to a semantic IR that runs on an interpreter or compiles through MLIR to a native binary.

    Python 4

  2. groundworkgroundworkPublic

    A safe-by-default, batteries-included Claude Code harness starter pack — guardrails, a wiki-grounded quality loop, and a memory lifecycle.

    Shell 3

  3. claude-secretmodeclaude-secretmodePublic

    Leave-no-trace ephemeral Claude Code sessions on macOS — runs Claude Code on a RAM disk so transcripts, prompt history, and file snapshots never touch disk and evaporate on exit, while inheriting y…

    Shell 2

  4. cliclawcliclawPublic

    Control coding agents on your Mac — Claude Code, Codex, Pi, Gemini — from your phone via Telegram. Kick off tasks, stream progress, and approve dangerous commands while away from your desk. Per-cha…

    TypeScript 7

  5. mac-inputlockmac-inputlockPublic

    Lock your Mac's keyboard & mouse while the screen stays on — a lightweight macOS daemon that globally blocks all input, toggled with ⌃⌥⌘L. For stepping away, wiping the keyboard, or cat-proofing.

    Swift 2

  6. korea-data-suitekorea-data-suitePublic

    Clean REST APIs for Korean public data — nationwide real-estate transaction prices (MOLIT) and public holidays (KASI), normalized into simple English JSON.

    Python 2

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

Skip to content
View choiyounggi's full-sized avatar
9
followers
 · 1
following

Achievements
Achievement: YOLOAchievement: QuickdrawAchievement: Pair ExtraordinaireAchievement: Pull Sharkx2
Achievements
Achievement: YOLOAchievement: QuickdrawAchievement: Pair ExtraordinaireAchievement: Pull Sharkx2

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choiyounggi/README.md
Younggi Choi — I build the harness AI codes inside
English | 한국어
Younggi Choi
I build the harness AI codes inside
The safety and verification layer for agentic coding —

hooks, skills, and MCP servers that make an AI harness trustworthy enough to run unattended.
Most AI coding effort goes into the prompt. I think the leverage is one layer below that — in the
harness: the hooks that stop an agent before it force-pushes, the skills that encode a procedure
so it isn't re-derived every session, the MCP servers that hand an agent real context instead of
guesses, and the memory that survives a /clear. An agent is only as good as the environment you
put it in. That environment is what I build. Three projects carry most of that work.
linkly — a language designed for an LLM, not a typist
Existing languages were designed to be easy for humans to write. From here on, most code is
generated — so what does a language look like when it's designed to be easy for an LLM to reason
about and optimize?
Developer → Intent (what) → LLM → Semantic IR → Native Optimizer → Machine Code

You declare goals and business rules; the compiler and an agent pipeline design, implement, verify,
and optimize the rest. .lnpl parses and lowers to a semantic IR, runs on an IR interpreter and
compiles through MLIR to a native binary — and a differential check confirms both modes agree on
execution order, policy outcome, observability signals, and masking. OpenAPI is generated from the
IR. Next: a custom lnpl MLIR dialect.
groundwork — the base layer every agent I run sits on
Guardrail hooks, memory system, skill architecture, audit logging — the base layer every agent I run
sits on. Written after learning the hard way that a guard regex which matches everything is
indistinguishable from one that matches nothing, so the hooks ship with both-direction regression
tests: a mention passes, an execution blocks. A guard you haven't tried to fool is decoration.
cliclaw — four coding agents, driven from your phone
npm install -g @younggichoi/cliclaw
A Telegram bot driving Claude Code, Codex, Pi, and Gemini CLI as a macOS daemon. Per-chat agent
sessions, a confirm gate before anything destructive, response streaming, image attachments,
auto-installed launchd, and corporate-TLS (Zscaler) auto-detection.
The rest of the harness
claude-secretmodeLeave-no-trace Claude Code sessions — runs on a RAM disk so transcripts, prompt history, and file snapshots never touch disk, while still inheriting keychain auth, MCP servers, hooks, and skills. npm i -g @younggichoi/claude-secretmode
dev-loopKnowledge management for coding agents — wiki-grounded verification, RFC-based docs, and best-practice capture that feeds the next task instead of being relearned.
loop-orchestratorMulti-agent orchestration — parallel execution, TDD/PDCA/Reflexion loops, test-quality audit, merge-gate verification.
dev-llm-wikiCase-routed engineering knowledge written to be loaded as minimal working context by an agent, not read by a human. One case per page, routed by domain.
awesome-claude-pluginsPlugins that extend Claude Code with commands, agents, hooks, and MCP servers.
awesome-cli-coding-agentsTerminal-native coding agents and the harnesses that orchestrate them — Pi, OpenCode, Aider, Goose, Claude Code, Codex, Gemini CLI, parallel runners, autonomous loops.
Also shipped — services and utilities
korea-data-suiteClean REST APIs over Korean public data — nationwide real-estate transaction prices (MOLIT) and public holidays (KASI), normalized to plain English JSON.
chungyak-alimiHousing-subscription notices pulled from official open APIs into PostgreSQL, matched against your criteria, pushed to Telegram, browsable on a FastAPI dashboard with parcel polygons. Runs on a Raspberry Pi under systemd.
mac-inputlockLock your Mac's keyboard and mouse while the screen stays on — ⌃⌥⌘L. For wiping the keyboard, or cat-proofing.
meetingSummaryOn-device meeting transcription and summarization on macOS.
ai-gossipWhat several models say about each other when they think you've left the room.
Activity
GitHub statsMost used languages
Contribution streak
Cards are generated by a scheduled workflow and committed to this repo, so they don't break when a public widget host goes down.

Building in public. If you work on agent harnesses, MCP, or LLM automation,

open an issue on any of these — I answer.


Pinned
Loading
  1. linklylinklyPublic
    
An LLM-native programming language: you declare intent, and it lowers to a semantic IR that runs on an interpreter or compiles through MLIR to a native binary.

    Python
4

  2. groundworkgroundworkPublic
    
A safe-by-default, batteries-included Claude Code harness starter pack — guardrails, a wiki-grounded quality loop, and a memory lifecycle.

    Shell
3

  3. claude-secretmodeclaude-secretmodePublic
    
Leave-no-trace ephemeral Claude Code sessions on macOS — runs Claude Code on a RAM disk so transcripts, prompt history, and file snapshots never touch disk and evaporate on exit, while inheriting y…

    Shell
2

  4. cliclawcliclawPublic
    
Control coding agents on your Mac — Claude Code, Codex, Pi, Gemini — from your phone via Telegram. Kick off tasks, stream progress, and approve dangerous commands while away from your desk. Per-cha…

    TypeScript
7

  5. mac-inputlockmac-inputlockPublic
    
Lock your Mac's keyboard & mouse while the screen stays on — a lightweight macOS daemon that globally blocks all input, toggled with ⌃⌥⌘L. For stepping away, wiping the keyboard, or cat-proofing.

    Swift
2

  6. korea-data-suitekorea-data-suitePublic
    
Clean REST APIs for Korean public data — nationwide real-estate transaction prices (MOLIT) and public holidays (KASI), normalized into simple English JSON.

    Python
2


, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
View choiyounggi's full-sized avatar
9
followers
 · 1
following

Achievements
Achievement: YOLOAchievement: QuickdrawAchievement: Pair ExtraordinaireAchievement: Pull Sharkx2
Achievements
Achievement: YOLOAchievement: QuickdrawAchievement: Pair ExtraordinaireAchievement: Pull Sharkx2

Block or report choiyounggi

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choiyounggi/README.md
Younggi Choi — I build the harness AI codes inside
English | 한국어
Younggi Choi
I build the harness AI codes inside
The safety and verification layer for agentic coding —

hooks, skills, and MCP servers that make an AI harness trustworthy enough to run unattended.
Most AI coding effort goes into the prompt. I think the leverage is one layer below that — in the
harness: the hooks that stop an agent before it force-pushes, the skills that encode a procedure
so it isn't re-derived every session, the MCP servers that hand an agent real context instead of
guesses, and the memory that survives a /clear. An agent is only as good as the environment you
put it in. That environment is what I build. Three projects carry most of that work.
linkly — a language designed for an LLM, not a typist
Existing languages were designed to be easy for humans to write. From here on, most code is
generated — so what does a language look like when it's designed to be easy for an LLM to reason
about and optimize?
Developer → Intent (what) → LLM → Semantic IR → Native Optimizer → Machine Code

You declare goals and business rules; the compiler and an agent pipeline design, implement, verify,
and optimize the rest. .lnpl parses and lowers to a semantic IR, runs on an IR interpreter and
compiles through MLIR to a native binary — and a differential check confirms both modes agree on
execution order, policy outcome, observability signals, and masking. OpenAPI is generated from the
IR. Next: a custom lnpl MLIR dialect.
groundwork — the base layer every agent I run sits on
Guardrail hooks, memory system, skill architecture, audit logging — the base layer every agent I run
sits on. Written after learning the hard way that a guard regex which matches everything is
indistinguishable from one that matches nothing, so the hooks ship with both-direction regression
tests: a mention passes, an execution blocks. A guard you haven't tried to fool is decoration.
cliclaw — four coding agents, driven from your phone
npm install -g @younggichoi/cliclaw
A Telegram bot driving Claude Code, Codex, Pi, and Gemini CLI as a macOS daemon. Per-chat agent
sessions, a confirm gate before anything destructive, response streaming, image attachments,
auto-installed launchd, and corporate-TLS (Zscaler) auto-detection.
The rest of the harness
claude-secretmodeLeave-no-trace Claude Code sessions — runs on a RAM disk so transcripts, prompt history, and file snapshots never touch disk, while still inheriting keychain auth, MCP servers, hooks, and skills. npm i -g @younggichoi/claude-secretmode
dev-loopKnowledge management for coding agents — wiki-grounded verification, RFC-based docs, and best-practice capture that feeds the next task instead of being relearned.
loop-orchestratorMulti-agent orchestration — parallel execution, TDD/PDCA/Reflexion loops, test-quality audit, merge-gate verification.
dev-llm-wikiCase-routed engineering knowledge written to be loaded as minimal working context by an agent, not read by a human. One case per page, routed by domain.
awesome-claude-pluginsPlugins that extend Claude Code with commands, agents, hooks, and MCP servers.
awesome-cli-coding-agentsTerminal-native coding agents and the harnesses that orchestrate them — Pi, OpenCode, Aider, Goose, Claude Code, Codex, Gemini CLI, parallel runners, autonomous loops.
Also shipped — services and utilities
korea-data-suiteClean REST APIs over Korean public data — nationwide real-estate transaction prices (MOLIT) and public holidays (KASI), normalized to plain English JSON.
chungyak-alimiHousing-subscription notices pulled from official open APIs into PostgreSQL, matched against your criteria, pushed to Telegram, browsable on a FastAPI dashboard with parcel polygons. Runs on a Raspberry Pi under systemd.
mac-inputlockLock your Mac's keyboard and mouse while the screen stays on — ⌃⌥⌘L. For wiping the keyboard, or cat-proofing.
meetingSummaryOn-device meeting transcription and summarization on macOS.
ai-gossipWhat several models say about each other when they think you've left the room.
Activity
GitHub statsMost used languages
Contribution streak
Cards are generated by a scheduled workflow and committed to this repo, so they don't break when a public widget host goes down.

Building in public. If you work on agent harnesses, MCP, or LLM automation,

open an issue on any of these — I answer.


Pinned
Loading
  1. linklylinklyPublic
    
An LLM-native programming language: you declare intent, and it lowers to a semantic IR that runs on an interpreter or compiles through MLIR to a native binary.

    Python
4

  2. groundworkgroundworkPublic
    
A safe-by-default, batteries-included Claude Code harness starter pack — guardrails, a wiki-grounded quality loop, and a memory lifecycle.

    Shell
3

  3. claude-secretmodeclaude-secretmodePublic
    
Leave-no-trace ephemeral Claude Code sessions on macOS — runs Claude Code on a RAM disk so transcripts, prompt history, and file snapshots never touch disk and evaporate on exit, while inheriting y…

    Shell
2

  4. cliclawcliclawPublic
    
Control coding agents on your Mac — Claude Code, Codex, Pi, Gemini — from your phone via Telegram. Kick off tasks, stream progress, and approve dangerous commands while away from your desk. Per-cha…

    TypeScript
7

  5. mac-inputlockmac-inputlockPublic
    
Lock your Mac's keyboard & mouse while the screen stays on — a lightweight macOS daemon that globally blocks all input, toggled with ⌃⌥⌘L. For stepping away, wiping the keyboard, or cat-proofing.

    Swift
2

  6. korea-data-suitekorea-data-suitePublic
    
Clean REST APIs for Korean public data — nationwide real-estate transaction prices (MOLIT) and public holidays (KASI), normalized into simple English JSON.

    Python
2


, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
View choiyounggi's full-sized avatar
9
followers
 · 1
following

Achievements
Achievement: YOLOAchievement: QuickdrawAchievement: Pair ExtraordinaireAchievement: Pull Sharkx2
Achievements
Achievement: YOLOAchievement: QuickdrawAchievement: Pair ExtraordinaireAchievement: Pull Sharkx2

Block or report choiyounggi

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choiyounggi/README.md
Younggi Choi — I build the harness AI codes inside
English | 한국어
Younggi Choi
I build the harness AI codes inside
The safety and verification layer for agentic coding —

hooks, skills, and MCP servers that make an AI harness trustworthy enough to run unattended.
Most AI coding effort goes into the prompt. I think the leverage is one layer below that — in the
harness: the hooks that stop an agent before it force-pushes, the skills that encode a procedure
so it isn't re-derived every session, the MCP servers that hand an agent real context instead of
guesses, and the memory that survives a /clear. An agent is only as good as the environment you
put it in. That environment is what I build. Three projects carry most of that work.
linkly — a language designed for an LLM, not a typist
Existing languages were designed to be easy for humans to write. From here on, most code is
generated — so what does a language look like when it's designed to be easy for an LLM to reason
about and optimize?
Developer → Intent (what) → LLM → Semantic IR → Native Optimizer → Machine Code

You declare goals and business rules; the compiler and an agent pipeline design, implement, verify,
and optimize the rest. .lnpl parses and lowers to a semantic IR, runs on an IR interpreter and
compiles through MLIR to a native binary — and a differential check confirms both modes agree on
execution order, policy outcome, observability signals, and masking. OpenAPI is generated from the
IR. Next: a custom lnpl MLIR dialect.
groundwork — the base layer every agent I run sits on
Guardrail hooks, memory system, skill architecture, audit logging — the base layer every agent I run
sits on. Written after learning the hard way that a guard regex which matches everything is
indistinguishable from one that matches nothing, so the hooks ship with both-direction regression
tests: a mention passes, an execution blocks. A guard you haven't tried to fool is decoration.
cliclaw — four coding agents, driven from your phone
npm install -g @younggichoi/cliclaw
A Telegram bot driving Claude Code, Codex, Pi, and Gemini CLI as a macOS daemon. Per-chat agent
sessions, a confirm gate before anything destructive, response streaming, image attachments,
auto-installed launchd, and corporate-TLS (Zscaler) auto-detection.
The rest of the harness
claude-secretmodeLeave-no-trace Claude Code sessions — runs on a RAM disk so transcripts, prompt history, and file snapshots never touch disk, while still inheriting keychain auth, MCP servers, hooks, and skills. npm i -g @younggichoi/claude-secretmode
dev-loopKnowledge management for coding agents — wiki-grounded verification, RFC-based docs, and best-practice capture that feeds the next task instead of being relearned.
loop-orchestratorMulti-agent orchestration — parallel execution, TDD/PDCA/Reflexion loops, test-quality audit, merge-gate verification.
dev-llm-wikiCase-routed engineering knowledge written to be loaded as minimal working context by an agent, not read by a human. One case per page, routed by domain.
awesome-claude-pluginsPlugins that extend Claude Code with commands, agents, hooks, and MCP servers.
awesome-cli-coding-agentsTerminal-native coding agents and the harnesses that orchestrate them — Pi, OpenCode, Aider, Goose, Claude Code, Codex, Gemini CLI, parallel runners, autonomous loops.
Also shipped — services and utilities
korea-data-suiteClean REST APIs over Korean public data — nationwide real-estate transaction prices (MOLIT) and public holidays (KASI), normalized to plain English JSON.
chungyak-alimiHousing-subscription notices pulled from official open APIs into PostgreSQL, matched against your criteria, pushed to Telegram, browsable on a FastAPI dashboard with parcel polygons. Runs on a Raspberry Pi under systemd.
mac-inputlockLock your Mac's keyboard and mouse while the screen stays on — ⌃⌥⌘L. For wiping the keyboard, or cat-proofing.
meetingSummaryOn-device meeting transcription and summarization on macOS.
ai-gossipWhat several models say about each other when they think you've left the room.
Activity
GitHub statsMost used languages
Contribution streak
Cards are generated by a scheduled workflow and committed to this repo, so they don't break when a public widget host goes down.

Building in public. If you work on agent harnesses, MCP, or LLM automation,

open an issue on any of these — I answer.


Pinned
Loading
  1. linklylinklyPublic
    
An LLM-native programming language: you declare intent, and it lowers to a semantic IR that runs on an interpreter or compiles through MLIR to a native binary.

    Python
4

  2. groundworkgroundworkPublic
    
A safe-by-default, batteries-included Claude Code harness starter pack — guardrails, a wiki-grounded quality loop, and a memory lifecycle.

    Shell
3

  3. claude-secretmodeclaude-secretmodePublic
    
Leave-no-trace ephemeral Claude Code sessions on macOS — runs Claude Code on a RAM disk so transcripts, prompt history, and file snapshots never touch disk and evaporate on exit, while inheriting y…

    Shell
2

  4. cliclawcliclawPublic
    
Control coding agents on your Mac — Claude Code, Codex, Pi, Gemini — from your phone via Telegram. Kick off tasks, stream progress, and approve dangerous commands while away from your desk. Per-cha…

    TypeScript
7

  5. mac-inputlockmac-inputlockPublic
    
Lock your Mac's keyboard & mouse while the screen stays on — a lightweight macOS daemon that globally blocks all input, toggled with ⌃⌥⌘L. For stepping away, wiping the keyboard, or cat-proofing.

    Swift
2

  6. korea-data-suitekorea-data-suitePublic
    
Clean REST APIs for Korean public data — nationwide real-estate transaction prices (MOLIT) and public holidays (KASI), normalized into simple English JSON.

    Python
2


, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

Skip to content
View choiyounggi's full-sized avatar
9
followers
 · 1
following

Achievements
Achievement: YOLOAchievement: QuickdrawAchievement: Pair ExtraordinaireAchievement: Pull Sharkx2
Achievements
Achievement: YOLOAchievement: QuickdrawAchievement: Pair ExtraordinaireAchievement: Pull Sharkx2

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choiyounggi/README.md
Younggi Choi — I build the harness AI codes inside
English | 한국어
Younggi Choi
I build the harness AI codes inside
The safety and verification layer for agentic coding —

hooks, skills, and MCP servers that make an AI harness trustworthy enough to run unattended.
Most AI coding effort goes into the prompt. I think the leverage is one layer below that — in the
harness: the hooks that stop an agent before it force-pushes, the skills that encode a procedure
so it isn't re-derived every session, the MCP servers that hand an agent real context instead of
guesses, and the memory that survives a /clear. An agent is only as good as the environment you
put it in. That environment is what I build. Three projects carry most of that work.
linkly — a language designed for an LLM, not a typist
Existing languages were designed to be easy for humans to write. From here on, most code is
generated — so what does a language look like when it's designed to be easy for an LLM to reason
about and optimize?
Developer → Intent (what) → LLM → Semantic IR → Native Optimizer → Machine Code

You declare goals and business rules; the compiler and an agent pipeline design, implement, verify,
and optimize the rest. .lnpl parses and lowers to a semantic IR, runs on an IR interpreter and
compiles through MLIR to a native binary — and a differential check confirms both modes agree on
execution order, policy outcome, observability signals, and masking. OpenAPI is generated from the
IR. Next: a custom lnpl MLIR dialect.
groundwork — the base layer every agent I run sits on
Guardrail hooks, memory system, skill architecture, audit logging — the base layer every agent I run
sits on. Written after learning the hard way that a guard regex which matches everything is
indistinguishable from one that matches nothing, so the hooks ship with both-direction regression
tests: a mention passes, an execution blocks. A guard you haven't tried to fool is decoration.
cliclaw — four coding agents, driven from your phone
npm install -g @younggichoi/cliclaw
A Telegram bot driving Claude Code, Codex, Pi, and Gemini CLI as a macOS daemon. Per-chat agent
sessions, a confirm gate before anything destructive, response streaming, image attachments,
auto-installed launchd, and corporate-TLS (Zscaler) auto-detection.
The rest of the harness
claude-secretmodeLeave-no-trace Claude Code sessions — runs on a RAM disk so transcripts, prompt history, and file snapshots never touch disk, while still inheriting keychain auth, MCP servers, hooks, and skills. npm i -g @younggichoi/claude-secretmode
dev-loopKnowledge management for coding agents — wiki-grounded verification, RFC-based docs, and best-practice capture that feeds the next task instead of being relearned.
loop-orchestratorMulti-agent orchestration — parallel execution, TDD/PDCA/Reflexion loops, test-quality audit, merge-gate verification.
dev-llm-wikiCase-routed engineering knowledge written to be loaded as minimal working context by an agent, not read by a human. One case per page, routed by domain.
awesome-claude-pluginsPlugins that extend Claude Code with commands, agents, hooks, and MCP servers.
awesome-cli-coding-agentsTerminal-native coding agents and the harnesses that orchestrate them — Pi, OpenCode, Aider, Goose, Claude Code, Codex, Gemini CLI, parallel runners, autonomous loops.
Also shipped — services and utilities
korea-data-suiteClean REST APIs over Korean public data — nationwide real-estate transaction prices (MOLIT) and public holidays (KASI), normalized to plain English JSON.
chungyak-alimiHousing-subscription notices pulled from official open APIs into PostgreSQL, matched against your criteria, pushed to Telegram, browsable on a FastAPI dashboard with parcel polygons. Runs on a Raspberry Pi under systemd.
mac-inputlockLock your Mac's keyboard and mouse while the screen stays on — ⌃⌥⌘L. For wiping the keyboard, or cat-proofing.
meetingSummaryOn-device meeting transcription and summarization on macOS.
ai-gossipWhat several models say about each other when they think you've left the room.
Activity
GitHub statsMost used languages
Contribution streak
Cards are generated by a scheduled workflow and committed to this repo, so they don't break when a public widget host goes down.

Building in public. If you work on agent harnesses, MCP, or LLM automation,

open an issue on any of these — I answer.


Pinned
Loading
  1. linklylinklyPublic
    
An LLM-native programming language: you declare intent, and it lowers to a semantic IR that runs on an interpreter or compiles through MLIR to a native binary.

    Python
4

  2. groundworkgroundworkPublic
    
A safe-by-default, batteries-included Claude Code harness starter pack — guardrails, a wiki-grounded quality loop, and a memory lifecycle.

    Shell
3

  3. claude-secretmodeclaude-secretmodePublic
    
Leave-no-trace ephemeral Claude Code sessions on macOS — runs Claude Code on a RAM disk so transcripts, prompt history, and file snapshots never touch disk and evaporate on exit, while inheriting y…

    Shell
2

  4. cliclawcliclawPublic
    
Control coding agents on your Mac — Claude Code, Codex, Pi, Gemini — from your phone via Telegram. Kick off tasks, stream progress, and approve dangerous commands while away from your desk. Per-cha…

    TypeScript
7

  5. mac-inputlockmac-inputlockPublic
    
Lock your Mac's keyboard & mouse while the screen stays on — a lightweight macOS daemon that globally blocks all input, toggled with ⌃⌥⌘L. For stepping away, wiping the keyboard, or cat-proofing.

    Swift
2

  6. korea-data-suitekorea-data-suitePublic
    
Clean REST APIs for Korean public data — nationwide real-estate transaction prices (MOLIT) and public holidays (KASI), normalized into simple English JSON.

    Python
2


, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
View choiyounggi's full-sized avatar
9
followers
 · 1
following

Achievements
Achievement: YOLOAchievement: QuickdrawAchievement: Pair ExtraordinaireAchievement: Pull Sharkx2
Achievements
Achievement: YOLOAchievement: QuickdrawAchievement: Pair ExtraordinaireAchievement: Pull Sharkx2

Block or report choiyounggi

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choiyounggi/README.md
Younggi Choi — I build the harness AI codes inside
English | 한국어
Younggi Choi
I build the harness AI codes inside
The safety and verification layer for agentic coding —

hooks, skills, and MCP servers that make an AI harness trustworthy enough to run unattended.
Most AI coding effort goes into the prompt. I think the leverage is one layer below that — in the
harness: the hooks that stop an agent before it force-pushes, the skills that encode a procedure
so it isn't re-derived every session, the MCP servers that hand an agent real context instead of
guesses, and the memory that survives a /clear. An agent is only as good as the environment you
put it in. That environment is what I build. Three projects carry most of that work.
linkly — a language designed for an LLM, not a typist
Existing languages were designed to be easy for humans to write. From here on, most code is
generated — so what does a language look like when it's designed to be easy for an LLM to reason
about and optimize?
Developer → Intent (what) → LLM → Semantic IR → Native Optimizer → Machine Code

You declare goals and business rules; the compiler and an agent pipeline design, implement, verify,
and optimize the rest. .lnpl parses and lowers to a semantic IR, runs on an IR interpreter and
compiles through MLIR to a native binary — and a differential check confirms both modes agree on
execution order, policy outcome, observability signals, and masking. OpenAPI is generated from the
IR. Next: a custom lnpl MLIR dialect.
groundwork — the base layer every agent I run sits on
Guardrail hooks, memory system, skill architecture, audit logging — the base layer every agent I run
sits on. Written after learning the hard way that a guard regex which matches everything is
indistinguishable from one that matches nothing, so the hooks ship with both-direction regression
tests: a mention passes, an execution blocks. A guard you haven't tried to fool is decoration.
cliclaw — four coding agents, driven from your phone
npm install -g @younggichoi/cliclaw
A Telegram bot driving Claude Code, Codex, Pi, and Gemini CLI as a macOS daemon. Per-chat agent
sessions, a confirm gate before anything destructive, response streaming, image attachments,
auto-installed launchd, and corporate-TLS (Zscaler) auto-detection.
The rest of the harness
claude-secretmodeLeave-no-trace Claude Code sessions — runs on a RAM disk so transcripts, prompt history, and file snapshots never touch disk, while still inheriting keychain auth, MCP servers, hooks, and skills. npm i -g @younggichoi/claude-secretmode
dev-loopKnowledge management for coding agents — wiki-grounded verification, RFC-based docs, and best-practice capture that feeds the next task instead of being relearned.
loop-orchestratorMulti-agent orchestration — parallel execution, TDD/PDCA/Reflexion loops, test-quality audit, merge-gate verification.
dev-llm-wikiCase-routed engineering knowledge written to be loaded as minimal working context by an agent, not read by a human. One case per page, routed by domain.
awesome-claude-pluginsPlugins that extend Claude Code with commands, agents, hooks, and MCP servers.
awesome-cli-coding-agentsTerminal-native coding agents and the harnesses that orchestrate them — Pi, OpenCode, Aider, Goose, Claude Code, Codex, Gemini CLI, parallel runners, autonomous loops.
Also shipped — services and utilities
korea-data-suiteClean REST APIs over Korean public data — nationwide real-estate transaction prices (MOLIT) and public holidays (KASI), normalized to plain English JSON.
chungyak-alimiHousing-subscription notices pulled from official open APIs into PostgreSQL, matched against your criteria, pushed to Telegram, browsable on a FastAPI dashboard with parcel polygons. Runs on a Raspberry Pi under systemd.
mac-inputlockLock your Mac's keyboard and mouse while the screen stays on — ⌃⌥⌘L. For wiping the keyboard, or cat-proofing.
meetingSummaryOn-device meeting transcription and summarization on macOS.
ai-gossipWhat several models say about each other when they think you've left the room.
Activity
GitHub statsMost used languages
Contribution streak
Cards are generated by a scheduled workflow and committed to this repo, so they don't break when a public widget host goes down.

Building in public. If you work on agent harnesses, MCP, or LLM automation,

open an issue on any of these — I answer.


Pinned
Loading
  1. linklylinklyPublic
    
An LLM-native programming language: you declare intent, and it lowers to a semantic IR that runs on an interpreter or compiles through MLIR to a native binary.

    Python
4

  2. groundworkgroundworkPublic
    
A safe-by-default, batteries-included Claude Code harness starter pack — guardrails, a wiki-grounded quality loop, and a memory lifecycle.

    Shell
3

  3. claude-secretmodeclaude-secretmodePublic
    
Leave-no-trace ephemeral Claude Code sessions on macOS — runs Claude Code on a RAM disk so transcripts, prompt history, and file snapshots never touch disk and evaporate on exit, while inheriting y…

    Shell
2

  4. cliclawcliclawPublic
    
Control coding agents on your Mac — Claude Code, Codex, Pi, Gemini — from your phone via Telegram. Kick off tasks, stream progress, and approve dangerous commands while away from your desk. Per-cha…

    TypeScript
7

  5. mac-inputlockmac-inputlockPublic
    
Lock your Mac's keyboard & mouse while the screen stays on — a lightweight macOS daemon that globally blocks all input, toggled with ⌃⌥⌘L. For stepping away, wiping the keyboard, or cat-proofing.

    Swift
2

  6. korea-data-suitekorea-data-suitePublic
    
Clean REST APIs for Korean public data — nationwide real-estate transaction prices (MOLIT) and public holidays (KASI), normalized into simple English JSON.

    Python
2


, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
View choiyounggi's full-sized avatar
9
followers
 · 1
following

Achievements
Achievement: YOLOAchievement: QuickdrawAchievement: Pair ExtraordinaireAchievement: Pull Sharkx2
Achievements
Achievement: YOLOAchievement: QuickdrawAchievement: Pair ExtraordinaireAchievement: Pull Sharkx2

Block or report choiyounggi

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choiyounggi/README.md
Younggi Choi — I build the harness AI codes inside
English | 한국어
Younggi Choi
I build the harness AI codes inside
The safety and verification layer for agentic coding —

hooks, skills, and MCP servers that make an AI harness trustworthy enough to run unattended.
Most AI coding effort goes into the prompt. I think the leverage is one layer below that — in the
harness: the hooks that stop an agent before it force-pushes, the skills that encode a procedure
so it isn't re-derived every session, the MCP servers that hand an agent real context instead of
guesses, and the memory that survives a /clear. An agent is only as good as the environment you
put it in. That environment is what I build. Three projects carry most of that work.
linkly — a language designed for an LLM, not a typist
Existing languages were designed to be easy for humans to write. From here on, most code is
generated — so what does a language look like when it's designed to be easy for an LLM to reason
about and optimize?
Developer → Intent (what) → LLM → Semantic IR → Native Optimizer → Machine Code

You declare goals and business rules; the compiler and an agent pipeline design, implement, verify,
and optimize the rest. .lnpl parses and lowers to a semantic IR, runs on an IR interpreter and
compiles through MLIR to a native binary — and a differential check confirms both modes agree on
execution order, policy outcome, observability signals, and masking. OpenAPI is generated from the
IR. Next: a custom lnpl MLIR dialect.
groundwork — the base layer every agent I run sits on
Guardrail hooks, memory system, skill architecture, audit logging — the base layer every agent I run
sits on. Written after learning the hard way that a guard regex which matches everything is
indistinguishable from one that matches nothing, so the hooks ship with both-direction regression
tests: a mention passes, an execution blocks. A guard you haven't tried to fool is decoration.
cliclaw — four coding agents, driven from your phone
npm install -g @younggichoi/cliclaw
A Telegram bot driving Claude Code, Codex, Pi, and Gemini CLI as a macOS daemon. Per-chat agent
sessions, a confirm gate before anything destructive, response streaming, image attachments,
auto-installed launchd, and corporate-TLS (Zscaler) auto-detection.
The rest of the harness
claude-secretmodeLeave-no-trace Claude Code sessions — runs on a RAM disk so transcripts, prompt history, and file snapshots never touch disk, while still inheriting keychain auth, MCP servers, hooks, and skills. npm i -g @younggichoi/claude-secretmode
dev-loopKnowledge management for coding agents — wiki-grounded verification, RFC-based docs, and best-practice capture that feeds the next task instead of being relearned.
loop-orchestratorMulti-agent orchestration — parallel execution, TDD/PDCA/Reflexion loops, test-quality audit, merge-gate verification.
dev-llm-wikiCase-routed engineering knowledge written to be loaded as minimal working context by an agent, not read by a human. One case per page, routed by domain.
awesome-claude-pluginsPlugins that extend Claude Code with commands, agents, hooks, and MCP servers.
awesome-cli-coding-agentsTerminal-native coding agents and the harnesses that orchestrate them — Pi, OpenCode, Aider, Goose, Claude Code, Codex, Gemini CLI, parallel runners, autonomous loops.
Also shipped — services and utilities
korea-data-suiteClean REST APIs over Korean public data — nationwide real-estate transaction prices (MOLIT) and public holidays (KASI), normalized to plain English JSON.
chungyak-alimiHousing-subscription notices pulled from official open APIs into PostgreSQL, matched against your criteria, pushed to Telegram, browsable on a FastAPI dashboard with parcel polygons. Runs on a Raspberry Pi under systemd.
mac-inputlockLock your Mac's keyboard and mouse while the screen stays on — ⌃⌥⌘L. For wiping the keyboard, or cat-proofing.
meetingSummaryOn-device meeting transcription and summarization on macOS.
ai-gossipWhat several models say about each other when they think you've left the room.
Activity
GitHub statsMost used languages
Contribution streak
Cards are generated by a scheduled workflow and committed to this repo, so they don't break when a public widget host goes down.

Building in public. If you work on agent harnesses, MCP, or LLM automation,

open an issue on any of these — I answer.


Pinned
Loading
  1. linklylinklyPublic
    
An LLM-native programming language: you declare intent, and it lowers to a semantic IR that runs on an interpreter or compiles through MLIR to a native binary.

    Python
4

  2. groundworkgroundworkPublic
    
A safe-by-default, batteries-included Claude Code harness starter pack — guardrails, a wiki-grounded quality loop, and a memory lifecycle.

    Shell
3

  3. claude-secretmodeclaude-secretmodePublic
    
Leave-no-trace ephemeral Claude Code sessions on macOS — runs Claude Code on a RAM disk so transcripts, prompt history, and file snapshots never touch disk and evaporate on exit, while inheriting y…

    Shell
2

  4. cliclawcliclawPublic
    
Control coding agents on your Mac — Claude Code, Codex, Pi, Gemini — from your phone via Telegram. Kick off tasks, stream progress, and approve dangerous commands while away from your desk. Per-cha…

    TypeScript
7

  5. mac-inputlockmac-inputlockPublic
    
Lock your Mac's keyboard & mouse while the screen stays on — a lightweight macOS daemon that globally blocks all input, toggled with ⌃⌥⌘L. For stepping away, wiping the keyboard, or cat-proofing.

    Swift
2

  6. korea-data-suitekorea-data-suitePublic
    
Clean REST APIs for Korean public data — nationwide real-estate transaction prices (MOLIT) and public holidays (KASI), normalized into simple English JSON.

    Python
2


, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

Skip to content
View choiyounggi's full-sized avatar
9
followers
 · 1
following

Achievements
Achievement: YOLOAchievement: QuickdrawAchievement: Pair ExtraordinaireAchievement: Pull Sharkx2
Achievements
Achievement: YOLOAchievement: QuickdrawAchievement: Pair ExtraordinaireAchievement: Pull Sharkx2

Block or report choiyounggi

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choiyounggi/README.md
Younggi Choi — I build the harness AI codes inside
English | 한국어
Younggi Choi
I build the harness AI codes inside
The safety and verification layer for agentic coding —

hooks, skills, and MCP servers that make an AI harness trustworthy enough to run unattended.
Most AI coding effort goes into the prompt. I think the leverage is one layer below that — in the
harness: the hooks that stop an agent before it force-pushes, the skills that encode a procedure
so it isn't re-derived every session, the MCP servers that hand an agent real context instead of
guesses, and the memory that survives a /clear. An agent is only as good as the environment you
put it in. That environment is what I build. Three projects carry most of that work.
linkly — a language designed for an LLM, not a typist
Existing languages were designed to be easy for humans to write. From here on, most code is
generated — so what does a language look like when it's designed to be easy for an LLM to reason
about and optimize?
Developer → Intent (what) → LLM → Semantic IR → Native Optimizer → Machine Code

You declare goals and business rules; the compiler and an agent pipeline design, implement, verify,
and optimize the rest. .lnpl parses and lowers to a semantic IR, runs on an IR interpreter and
compiles through MLIR to a native binary — and a differential check confirms both modes agree on
execution order, policy outcome, observability signals, and masking. OpenAPI is generated from the
IR. Next: a custom lnpl MLIR dialect.
groundwork — the base layer every agent I run sits on
Guardrail hooks, memory system, skill architecture, audit logging — the base layer every agent I run
sits on. Written after learning the hard way that a guard regex which matches everything is
indistinguishable from one that matches nothing, so the hooks ship with both-direction regression
tests: a mention passes, an execution blocks. A guard you haven't tried to fool is decoration.
cliclaw — four coding agents, driven from your phone
npm install -g @younggichoi/cliclaw
A Telegram bot driving Claude Code, Codex, Pi, and Gemini CLI as a macOS daemon. Per-chat agent
sessions, a confirm gate before anything destructive, response streaming, image attachments,
auto-installed launchd, and corporate-TLS (Zscaler) auto-detection.
The rest of the harness
claude-secretmodeLeave-no-trace Claude Code sessions — runs on a RAM disk so transcripts, prompt history, and file snapshots never touch disk, while still inheriting keychain auth, MCP servers, hooks, and skills. npm i -g @younggichoi/claude-secretmode
dev-loopKnowledge management for coding agents — wiki-grounded verification, RFC-based docs, and best-practice capture that feeds the next task instead of being relearned.
loop-orchestratorMulti-agent orchestration — parallel execution, TDD/PDCA/Reflexion loops, test-quality audit, merge-gate verification.
dev-llm-wikiCase-routed engineering knowledge written to be loaded as minimal working context by an agent, not read by a human. One case per page, routed by domain.
awesome-claude-pluginsPlugins that extend Claude Code with commands, agents, hooks, and MCP servers.
awesome-cli-coding-agentsTerminal-native coding agents and the harnesses that orchestrate them — Pi, OpenCode, Aider, Goose, Claude Code, Codex, Gemini CLI, parallel runners, autonomous loops.
Also shipped — services and utilities
korea-data-suiteClean REST APIs over Korean public data — nationwide real-estate transaction prices (MOLIT) and public holidays (KASI), normalized to plain English JSON.
chungyak-alimiHousing-subscription notices pulled from official open APIs into PostgreSQL, matched against your criteria, pushed to Telegram, browsable on a FastAPI dashboard with parcel polygons. Runs on a Raspberry Pi under systemd.
mac-inputlockLock your Mac's keyboard and mouse while the screen stays on — ⌃⌥⌘L. For wiping the keyboard, or cat-proofing.
meetingSummaryOn-device meeting transcription and summarization on macOS.
ai-gossipWhat several models say about each other when they think you've left the room.
Activity
GitHub statsMost used languages
Contribution streak
Cards are generated by a scheduled workflow and committed to this repo, so they don't break when a public widget host goes down.

Building in public. If you work on agent harnesses, MCP, or LLM automation,

open an issue on any of these — I answer.


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  1. linklylinklyPublic
    
An LLM-native programming language: you declare intent, and it lowers to a semantic IR that runs on an interpreter or compiles through MLIR to a native binary.

    Python
4

  2. groundworkgroundworkPublic
    
A safe-by-default, batteries-included Claude Code harness starter pack — guardrails, a wiki-grounded quality loop, and a memory lifecycle.

    Shell
3

  3. claude-secretmodeclaude-secretmodePublic
    
Leave-no-trace ephemeral Claude Code sessions on macOS — runs Claude Code on a RAM disk so transcripts, prompt history, and file snapshots never touch disk and evaporate on exit, while inheriting y…

    Shell
2

  4. cliclawcliclawPublic
    
Control coding agents on your Mac — Claude Code, Codex, Pi, Gemini — from your phone via Telegram. Kick off tasks, stream progress, and approve dangerous commands while away from your desk. Per-cha…

    TypeScript
7

  5. mac-inputlockmac-inputlockPublic
    
Lock your Mac's keyboard & mouse while the screen stays on — a lightweight macOS daemon that globally blocks all input, toggled with ⌃⌥⌘L. For stepping away, wiping the keyboard, or cat-proofing.

    Swift
2

  6. korea-data-suitekorea-data-suitePublic
    
Clean REST APIs for Korean public data — nationwide real-estate transaction prices (MOLIT) and public holidays (KASI), normalized into simple English JSON.

    Python
2