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    theman6660/README.md

    Hi, I'm lin

    天津大学智能与计算 2025 级本科生。
    我正在把主要精力放在 Agent Harness / LLM Engineering / AI Developer Tools 上。

    I am interested in how AI agents are actually used, debugged, evaluated, and improved in real software workflows.

    Current Focus

    • Agent Harness: agent loop, tool use, memory, context engineering, task traces, failure recovery
    • LLM Engineering: API integration, prompt design, long-context workflows, structured outputs
    • AI-assisted development: using coding agents as daily development tools instead of occasional demos
    • Personal automation: bots, reading systems, website automation, remote-control workflows

    Featured Work

    ProjectWhat it isKeywords
    Deep ReaderAI reading companion for EPUB/TXT books, using a Reader -> Critic -> ContextStore pipelinePython, DeepSeek API, multi-agent, memory
    Telegram AI BotTelegram bot with LLM interaction, deployment notes, snippets and automation hooksNode.js, Gemini API, Telegram Bot API, Railway
    Personal Website AutomationHexo site source with AI daily generation, chronicle updates, deployment and rollback workflowHexo, GitHub Actions, DeepSeek API, RSS
    Escher Droste ToolBrowser-based WebGL tool for Droste / Escher-style image transformationWebGL, Canvas, image processing

    More details: PROJECTS.md

    Why Agent Harness

    I care about the engineering layer between a model and real tasks:

    • how tools should expose state and errors to the model
    • how context should be compressed, retrieved, and organized
    • how agent actions can be traced, replayed, and evaluated
    • how a developer can trust, interrupt, steer, and recover an agent workflow

    My current projects are still early, but they are built around real usage: reading books, generating posts, controlling personal workflows, debugging local systems, and testing how model behavior changes under different prompts and context structures.

    Selected Repositories

    Contact

    Popular repositories Loading

    1. vidio vidioPublic

      Python

    2. vidio2 vidio2Public

    3. program programPublic

      Python

    4. webcommit webcommitPublic

    5. .deploy_git .deploy_gitPublic

      CSS

    6. personal-website personal-websitePublic

    , '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" + '

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    happy coding
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    happy coding
      
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      theman6660/README.md
      Hi, I'm lin
      天津大学智能与计算 2025 级本科生。
      
我正在把主要精力放在 Agent Harness / LLM Engineering / AI Developer Tools 上。
      I am interested in how AI agents are actually used, debugged, evaluated, and improved in real software workflows.
      Current Focus
      • Agent Harness: agent loop, tool use, memory, context engineering, task traces, failure recovery
      • LLM Engineering: API integration, prompt design, long-context workflows, structured outputs
      • AI-assisted development: using coding agents as daily development tools instead of occasional demos
      • Personal automation: bots, reading systems, website automation, remote-control workflows
      Featured Work
      ProjectWhat it isKeywords
      Deep ReaderAI reading companion for EPUB/TXT books, using a Reader -> Critic -> ContextStore pipelinePython, DeepSeek API, multi-agent, memory
      Telegram AI BotTelegram bot with LLM interaction, deployment notes, snippets and automation hooksNode.js, Gemini API, Telegram Bot API, Railway
      Personal Website AutomationHexo site source with AI daily generation, chronicle updates, deployment and rollback workflowHexo, GitHub Actions, DeepSeek API, RSS
      Escher Droste ToolBrowser-based WebGL tool for Droste / Escher-style image transformationWebGL, Canvas, image processing
      More details: PROJECTS.md
      Why Agent Harness
      I care about the engineering layer between a model and real tasks:
      • how tools should expose state and errors to the model
      • how context should be compressed, retrieved, and organized
      • how agent actions can be traced, replayed, and evaluated
      • how a developer can trust, interrupt, steer, and recover an agent workflow
      My current projects are still early, but they are built around real usage: reading books, generating posts, controlling personal workflows, debugging local systems, and testing how model behavior changes under different prompts and context structures.
      Selected Repositories
      Contact
      
Popular repositories
Loading
      1. 
vidio
vidioPublic
        Python
      2. 
vidio2
vidio2Public
      3. 
program
programPublic
        Python
      4. 
webcommit
webcommitPublic
      5. 
.deploy_git
.deploy_gitPublic
        CSS
      6. 
personal-website
personal-websitePublic
      
, '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 theman6660's full-sized avatar
      💭
      happy coding
      💭
      happy coding
        
Block or report theman6660

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        theman6660/README.md
        Hi, I'm lin
        天津大学智能与计算 2025 级本科生。
        
我正在把主要精力放在 Agent Harness / LLM Engineering / AI Developer Tools 上。
        I am interested in how AI agents are actually used, debugged, evaluated, and improved in real software workflows.
        Current Focus
        • Agent Harness: agent loop, tool use, memory, context engineering, task traces, failure recovery
        • LLM Engineering: API integration, prompt design, long-context workflows, structured outputs
        • AI-assisted development: using coding agents as daily development tools instead of occasional demos
        • Personal automation: bots, reading systems, website automation, remote-control workflows
        Featured Work
        ProjectWhat it isKeywords
        Deep ReaderAI reading companion for EPUB/TXT books, using a Reader -> Critic -> ContextStore pipelinePython, DeepSeek API, multi-agent, memory
        Telegram AI BotTelegram bot with LLM interaction, deployment notes, snippets and automation hooksNode.js, Gemini API, Telegram Bot API, Railway
        Personal Website AutomationHexo site source with AI daily generation, chronicle updates, deployment and rollback workflowHexo, GitHub Actions, DeepSeek API, RSS
        Escher Droste ToolBrowser-based WebGL tool for Droste / Escher-style image transformationWebGL, Canvas, image processing
        More details: PROJECTS.md
        Why Agent Harness
        I care about the engineering layer between a model and real tasks:
        • how tools should expose state and errors to the model
        • how context should be compressed, retrieved, and organized
        • how agent actions can be traced, replayed, and evaluated
        • how a developer can trust, interrupt, steer, and recover an agent workflow
        My current projects are still early, but they are built around real usage: reading books, generating posts, controlling personal workflows, debugging local systems, and testing how model behavior changes under different prompts and context structures.
        Selected Repositories
        Contact
        
Popular repositories
Loading
        1. 
vidio
vidioPublic
          Python
        2. 
vidio2
vidio2Public
        3. 
program
programPublic
          Python
        4. 
webcommit
webcommitPublic
        5. 
.deploy_git
.deploy_gitPublic
          CSS
        6. 
personal-website
personal-websitePublic
        
, '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 theman6660's full-sized avatar
        💭
        happy coding
        💭
        happy coding
          
Block or report theman6660

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Prevent this user from interacting with your repositories and sending you notifications.
Learn more about blocking users.

          
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Content in all repositories owned by your account will be closed.

          
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          theman6660/README.md
          Hi, I'm lin
          天津大学智能与计算 2025 级本科生。
          
我正在把主要精力放在 Agent Harness / LLM Engineering / AI Developer Tools 上。
          I am interested in how AI agents are actually used, debugged, evaluated, and improved in real software workflows.
          Current Focus
          • Agent Harness: agent loop, tool use, memory, context engineering, task traces, failure recovery
          • LLM Engineering: API integration, prompt design, long-context workflows, structured outputs
          • AI-assisted development: using coding agents as daily development tools instead of occasional demos
          • Personal automation: bots, reading systems, website automation, remote-control workflows
          Featured Work
          ProjectWhat it isKeywords
          Deep ReaderAI reading companion for EPUB/TXT books, using a Reader -> Critic -> ContextStore pipelinePython, DeepSeek API, multi-agent, memory
          Telegram AI BotTelegram bot with LLM interaction, deployment notes, snippets and automation hooksNode.js, Gemini API, Telegram Bot API, Railway
          Personal Website AutomationHexo site source with AI daily generation, chronicle updates, deployment and rollback workflowHexo, GitHub Actions, DeepSeek API, RSS
          Escher Droste ToolBrowser-based WebGL tool for Droste / Escher-style image transformationWebGL, Canvas, image processing
          More details: PROJECTS.md
          Why Agent Harness
          I care about the engineering layer between a model and real tasks:
          • how tools should expose state and errors to the model
          • how context should be compressed, retrieved, and organized
          • how agent actions can be traced, replayed, and evaluated
          • how a developer can trust, interrupt, steer, and recover an agent workflow
          My current projects are still early, but they are built around real usage: reading books, generating posts, controlling personal workflows, debugging local systems, and testing how model behavior changes under different prompts and context structures.
          Selected Repositories
          Contact
          
Popular repositories
Loading
          1. 
vidio
vidioPublic
            Python
          2. 
vidio2
vidio2Public
          3. 
program
programPublic
            Python
          4. 
webcommit
webcommitPublic
          5. 
.deploy_git
.deploy_gitPublic
            CSS
          6. 
personal-website
personal-websitePublic
          
, '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 theman6660's full-sized avatar
          💭
          happy coding
          💭
          happy coding
            
Block or report theman6660

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Prevent this user from interacting with your repositories and sending you notifications.
Learn more about blocking users.

            
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            theman6660/README.md
            Hi, I'm lin
            天津大学智能与计算 2025 级本科生。
            
我正在把主要精力放在 Agent Harness / LLM Engineering / AI Developer Tools 上。
            I am interested in how AI agents are actually used, debugged, evaluated, and improved in real software workflows.
            Current Focus
            • Agent Harness: agent loop, tool use, memory, context engineering, task traces, failure recovery
            • LLM Engineering: API integration, prompt design, long-context workflows, structured outputs
            • AI-assisted development: using coding agents as daily development tools instead of occasional demos
            • Personal automation: bots, reading systems, website automation, remote-control workflows
            Featured Work
            ProjectWhat it isKeywords
            Deep ReaderAI reading companion for EPUB/TXT books, using a Reader -> Critic -> ContextStore pipelinePython, DeepSeek API, multi-agent, memory
            Telegram AI BotTelegram bot with LLM interaction, deployment notes, snippets and automation hooksNode.js, Gemini API, Telegram Bot API, Railway
            Personal Website AutomationHexo site source with AI daily generation, chronicle updates, deployment and rollback workflowHexo, GitHub Actions, DeepSeek API, RSS
            Escher Droste ToolBrowser-based WebGL tool for Droste / Escher-style image transformationWebGL, Canvas, image processing
            More details: PROJECTS.md
            Why Agent Harness
            I care about the engineering layer between a model and real tasks:
            • how tools should expose state and errors to the model
            • how context should be compressed, retrieved, and organized
            • how agent actions can be traced, replayed, and evaluated
            • how a developer can trust, interrupt, steer, and recover an agent workflow
            My current projects are still early, but they are built around real usage: reading books, generating posts, controlling personal workflows, debugging local systems, and testing how model behavior changes under different prompts and context structures.
            Selected Repositories
            Contact
            
Popular repositories
Loading
            1. 
vidio
vidioPublic
              Python
            2. 
vidio2
vidio2Public
            3. 
program
programPublic
              Python
            4. 
webcommit
webcommitPublic
            5. 
.deploy_git
.deploy_gitPublic
              CSS
            6. 
personal-website
personal-websitePublic
            
, '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 theman6660's full-sized avatar
            💭
            happy coding
            💭
            happy coding
              
Block or report theman6660

              Block user
              
Prevent this user from interacting with your repositories and sending you notifications.
Learn more about blocking users.

              
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              theman6660/README.md
              Hi, I'm lin
              天津大学智能与计算 2025 级本科生。
              
我正在把主要精力放在 Agent Harness / LLM Engineering / AI Developer Tools 上。
              I am interested in how AI agents are actually used, debugged, evaluated, and improved in real software workflows.
              Current Focus
              • Agent Harness: agent loop, tool use, memory, context engineering, task traces, failure recovery
              • LLM Engineering: API integration, prompt design, long-context workflows, structured outputs
              • AI-assisted development: using coding agents as daily development tools instead of occasional demos
              • Personal automation: bots, reading systems, website automation, remote-control workflows
              Featured Work
              ProjectWhat it isKeywords
              Deep ReaderAI reading companion for EPUB/TXT books, using a Reader -> Critic -> ContextStore pipelinePython, DeepSeek API, multi-agent, memory
              Telegram AI BotTelegram bot with LLM interaction, deployment notes, snippets and automation hooksNode.js, Gemini API, Telegram Bot API, Railway
              Personal Website AutomationHexo site source with AI daily generation, chronicle updates, deployment and rollback workflowHexo, GitHub Actions, DeepSeek API, RSS
              Escher Droste ToolBrowser-based WebGL tool for Droste / Escher-style image transformationWebGL, Canvas, image processing
              More details: PROJECTS.md
              Why Agent Harness
              I care about the engineering layer between a model and real tasks:
              • how tools should expose state and errors to the model
              • how context should be compressed, retrieved, and organized
              • how agent actions can be traced, replayed, and evaluated
              • how a developer can trust, interrupt, steer, and recover an agent workflow
              My current projects are still early, but they are built around real usage: reading books, generating posts, controlling personal workflows, debugging local systems, and testing how model behavior changes under different prompts and context structures.
              Selected Repositories
              Contact
              
Popular repositories
Loading
              1. 
vidio
vidioPublic
                Python
              2. 
vidio2
vidio2Public
              3. 
program
programPublic
                Python
              4. 
webcommit
webcommitPublic
              5. 
.deploy_git
.deploy_gitPublic
                CSS
              6. 
personal-website
personal-websitePublic
              
, '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 theman6660's full-sized avatar
              💭
              happy coding
              💭
              happy coding
                
Block or report theman6660

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Prevent this user from interacting with your repositories and sending you notifications.
Learn more about blocking users.

                
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Learn more about reporting abuse.

                Report abuse
                theman6660/README.md
                Hi, I'm lin
                天津大学智能与计算 2025 级本科生。
                
我正在把主要精力放在 Agent Harness / LLM Engineering / AI Developer Tools 上。
                I am interested in how AI agents are actually used, debugged, evaluated, and improved in real software workflows.
                Current Focus
                • Agent Harness: agent loop, tool use, memory, context engineering, task traces, failure recovery
                • LLM Engineering: API integration, prompt design, long-context workflows, structured outputs
                • AI-assisted development: using coding agents as daily development tools instead of occasional demos
                • Personal automation: bots, reading systems, website automation, remote-control workflows
                Featured Work
                ProjectWhat it isKeywords
                Deep ReaderAI reading companion for EPUB/TXT books, using a Reader -> Critic -> ContextStore pipelinePython, DeepSeek API, multi-agent, memory
                Telegram AI BotTelegram bot with LLM interaction, deployment notes, snippets and automation hooksNode.js, Gemini API, Telegram Bot API, Railway
                Personal Website AutomationHexo site source with AI daily generation, chronicle updates, deployment and rollback workflowHexo, GitHub Actions, DeepSeek API, RSS
                Escher Droste ToolBrowser-based WebGL tool for Droste / Escher-style image transformationWebGL, Canvas, image processing
                More details: PROJECTS.md
                Why Agent Harness
                I care about the engineering layer between a model and real tasks:
                • how tools should expose state and errors to the model
                • how context should be compressed, retrieved, and organized
                • how agent actions can be traced, replayed, and evaluated
                • how a developer can trust, interrupt, steer, and recover an agent workflow
                My current projects are still early, but they are built around real usage: reading books, generating posts, controlling personal workflows, debugging local systems, and testing how model behavior changes under different prompts and context structures.
                Selected Repositories
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, '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); }
})();
})();

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                  theman6660/README.md
                  Hi, I'm lin
                  天津大学智能与计算 2025 级本科生。
                  
我正在把主要精力放在 Agent Harness / LLM Engineering / AI Developer Tools 上。
                  I am interested in how AI agents are actually used, debugged, evaluated, and improved in real software workflows.
                  Current Focus
                  • Agent Harness: agent loop, tool use, memory, context engineering, task traces, failure recovery
                  • LLM Engineering: API integration, prompt design, long-context workflows, structured outputs
                  • AI-assisted development: using coding agents as daily development tools instead of occasional demos
                  • Personal automation: bots, reading systems, website automation, remote-control workflows
                  Featured Work
                  ProjectWhat it isKeywords
                  Deep ReaderAI reading companion for EPUB/TXT books, using a Reader -> Critic -> ContextStore pipelinePython, DeepSeek API, multi-agent, memory
                  Telegram AI BotTelegram bot with LLM interaction, deployment notes, snippets and automation hooksNode.js, Gemini API, Telegram Bot API, Railway
                  Personal Website AutomationHexo site source with AI daily generation, chronicle updates, deployment and rollback workflowHexo, GitHub Actions, DeepSeek API, RSS
                  Escher Droste ToolBrowser-based WebGL tool for Droste / Escher-style image transformationWebGL, Canvas, image processing
                  More details: PROJECTS.md
                  Why Agent Harness
                  I care about the engineering layer between a model and real tasks:
                  • how tools should expose state and errors to the model
                  • how context should be compressed, retrieved, and organized
                  • how agent actions can be traced, replayed, and evaluated
                  • how a developer can trust, interrupt, steer, and recover an agent workflow
                  My current projects are still early, but they are built around real usage: reading books, generating posts, controlling personal workflows, debugging local systems, and testing how model behavior changes under different prompts and context structures.
                  Selected Repositories
                  Contact
                  
Popular repositories
Loading
                  1. 
vidio
vidioPublic
                    Python
                  2. 
vidio2
vidio2Public
                  3. 
program
programPublic
                    Python
                  4. 
webcommit
webcommitPublic
                  5. 
.deploy_git
.deploy_gitPublic
                    CSS
                  6. 
personal-website
personal-websitePublic