') + ')', 'gi'); if (regex.test(text)) { found = true; var frag = document.createDocumentFragment(); var parts = text.split(regex); parts.forEach(function(part, i) { if (i % 2 === 0) { frag.appendChild(document.createTextNode(part)); } else { var span = document.createElement('span'); span.className = 'userscript-highlight'; span.textContent = part; frag.appendChild(span); } }); node.parentNode.replaceChild(frag, node); } }); } else if (node.nodeType === 1 && node.childNodes) { // element var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT']; if (!skipTags.includes(node.tagName)) { Array.from(node.childNodes).forEach(highlight); } } } highlight(document.body); // Re-highlight on dynamic content var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1 || node.nodeType === 3) highlight(node); }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ', 'i'); if (__m === '*' || __re.test(location.href)) { // Strip utm_, fbclid, gclid, etc. from all links on page (function() { var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content', 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid', 'ref', 'ref_src', 'source', 'medium', 'campaign']; function cleanUrl(url) { try { var u = new URL(url, window.location.origin); var changed = false; trackingParams.forEach(function(p) { if (u.searchParams.has(p)) { u.searchParams.delete(p); changed = true; } }); return changed ? u.toString() : url; } catch (e) { return url; } } function cleanLinks() { document.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } cleanLinks(); var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1) { if (node.tagName === 'A') cleanLinks(); node.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + ', 'i'); if (__m === '*' || __re.test(location.href)) { // Auto-enable theater mode on YouTube (function() { function tryTheater() { var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]'); if (btn && !btn.classList.contains('activated')) { btn.click(); } } // Try immediately tryTheater(); // Try after navigation (SPA) var lastUrl = location.href; setInterval(function() { if (location.href !== lastUrl) { lastUrl = location.href; setTimeout(tryTheater, 500); } }, 1000); // Also try on player load var observer = new MutationObserver(tryTheater); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ', 'i'); if (__m === '*' || __re.test(location.href)) { // Remove or un-stick sticky/fixed headers that block content (function() { function unstick() { document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) { if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') { el.style.position = 'static'; el.style.top = 'auto'; el.style.zIndex = 'auto'; } }); } unstick(); var observer = new MutationObserver(unstick); observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] }); })(); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); })(); Conalh (Conal Hickey) · GitHub
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Achievements

Achievement: Pair Extraordinairex3Achievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLO

Achievements

Achievement: Pair Extraordinairex3Achievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLO

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Conalh/README.md

Conal Hickey

I build open-source, deterministic, local-first tools for software supply-chain integrity, AI-agent security and governance, repository analysis, learning, and evidence-backed health/training decision support.

Selected work

ProjectWhat it demonstrates
wardenA zero-dependency Rust policy DSL with a live WASM playground.
tofulockA Go integrity gate for Terraform/OpenTofu modules with commit locks, drift detection, signed DSSE/in-toto attestations, and a source-pinned GitHub Action.
AgentPulseDeterministic, local-first trajectory monitoring for Claude Code, Cursor, and Codex sessions through a live TUI, JSON snapshots, and a privacy-aware GitHub Action; available on npm.
ConcourseA local-first learning suite with browser and Tauri desktop shells, validated portable course packs, retrieval practice, and a downloadable Logic Foundations pack.
CapabilityEchoPR-time detection of new network, subprocess, eval, lifecycle, and workflow-permission signals on exact added lines.
recovery-trailClient-side Apple Health recovery analysis with transparent rule traces and a live demo.
Docs Debt RadarEvidence-backed documentation drift scanner with a local CLI, GitHub Action, and static report viewer.
Project AutopsyRepository forensics that turns manifests, docs, commit history, and dependency signals into cited stall diagnoses and practical revival plans through a local CLI and web UI.
RepoBriefEvidence-backed repository orientation: architecture, hotspots, run commands, and reading paths through a CLI, web app, and MCP server.
fit-ontologyA local-first weekly coaching brief that turns wearable, session, and intake data into cited, overrideable decisions with calibration history; v0.6.0 release.

Working principles

  • Deterministic first: important verdicts are reproducible and inspectable.
  • Local-first when possible: data stays on the operator's machine unless they opt in.
  • Evidence-backed: reports expose the inputs, rules, and lines that produced them.
  • Conservative health language: decision support, not diagnosis or treatment.

Burbank, California · Go · Rust · TypeScript · Python · Kotlin · React · FastAPI

X @conalhck · Writing · Email

Pinned Loading

  1. Mocara-UnrealMocara-UnrealPublic

    Text-to-motion authoring for Unreal Engine 5.8, powered by Kimodo

    C++ 4

  2. fit-ontologyfit-ontologyPublic

    Local-first weekly coaching briefs with cited, overrideable recommendations from wearable, session, and intake data.

    Python

  3. wardenwardenPublic

    A from-scratch policy DSL engine in Rust: hand-written lexer, Pratt parser, tree-walking evaluator, and static shadow-rule analysis — zero dependencies.

    Rust

  4. CapabilityEchoCapabilityEchoPublic

    Code review for AI-agent capability drift in pull requests — flags new network, subprocess, eval, lifecycle, and workflow-permission signals on the exact added diff lines. Local-only CLI + GitHub A…

    JavaScript

  5. recovery-trailrecovery-trailPublic

    Client-side Apple Health recovery viewer with evidence-referenced training verdicts and full rule traces.

    TypeScript