05: Lint script for autopilot prompt drift detection #52

Description

@MatthewYe

Parent

#47

What to build

实现 scripts/lint-autopilot.ts,通过 LLM 检测两份 autopilot prompt 产物之间的漂移:

  1. 读取 packages/opencode/commands/autopilot.mdpackages/codex/skills/autopilot/SKILL.md
  2. 构造 prompt 发给 LLM,要求对比 shared 逻辑的一致性
  3. LLM 输出结构化 JSON drift report:
[{
"section": "Phase 1: Dispatch Loop - Retry count",
"opencode_behavior": "max 3 rounds...",
"codex_behavior": "max 3 rounds...",
"drift_severity": "none|minor|major|critical",
"recommendation": "..."
}]
  1. 汇总输出到 stdout

Acceptance criteria

  • bun run lint:autopilot 运行 lint
  • 对 aligned 的 prompt 输出 no drift
  • 对人为制造差异的 prompt 能检测并报告
  • 输出格式为结构化 JSON

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      , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all \u003cpre\u003e\u003ccode\u003e 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

      05: Lint script for autopilot prompt drift detection #52

      Description

      @MatthewYe

      Parent

      #47

      What to build

      实现 scripts/lint-autopilot.ts,通过 LLM 检测两份 autopilot prompt 产物之间的漂移:

      1. 读取 packages/opencode/commands/autopilot.mdpackages/codex/skills/autopilot/SKILL.md
      2. 构造 prompt 发给 LLM,要求对比 shared 逻辑的一致性
      3. LLM 输出结构化 JSON drift report:
      [{
      "section": "Phase 1: Dispatch Loop - Retry count",
      "opencode_behavior": "max 3 rounds...",
      "codex_behavior": "max 3 rounds...",
      "drift_severity": "none|minor|major|critical",
      "recommendation": "..."
      }]
      1. 汇总输出到 stdout

      Acceptance criteria

      • bun run lint:autopilot 运行 lint
      • 对 aligned 的 prompt 输出 no drift
      • 对人为制造差异的 prompt 能检测并报告
      • 输出格式为结构化 JSON

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          , '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

          05: Lint script for autopilot prompt drift detection #52

          Description

          @MatthewYe

          Parent

          #47

          What to build

          实现 scripts/lint-autopilot.ts,通过 LLM 检测两份 autopilot prompt 产物之间的漂移:

          1. 读取 packages/opencode/commands/autopilot.mdpackages/codex/skills/autopilot/SKILL.md
          2. 构造 prompt 发给 LLM,要求对比 shared 逻辑的一致性
          3. LLM 输出结构化 JSON drift report:
          [{
          "section": "Phase 1: Dispatch Loop - Retry count",
          "opencode_behavior": "max 3 rounds...",
          "codex_behavior": "max 3 rounds...",
          "drift_severity": "none|minor|major|critical",
          "recommendation": "..."
          }]
          1. 汇总输出到 stdout

          Acceptance criteria

          • bun run lint:autopilot 运行 lint
          • 对 aligned 的 prompt 输出 no drift
          • 对人为制造差异的 prompt 能检测并报告
          • 输出格式为结构化 JSON

          Blocked by

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            resolvedAutopilot has resolved this issue

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              Issue actions

              , '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 \u003e 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

              05: Lint script for autopilot prompt drift detection #52

              Description

              @MatthewYe

              Parent

              #47

              What to build

              实现 scripts/lint-autopilot.ts,通过 LLM 检测两份 autopilot prompt 产物之间的漂移:

              1. 读取 packages/opencode/commands/autopilot.mdpackages/codex/skills/autopilot/SKILL.md
              2. 构造 prompt 发给 LLM,要求对比 shared 逻辑的一致性
              3. LLM 输出结构化 JSON drift report:
              [{
              "section": "Phase 1: Dispatch Loop - Retry count",
              "opencode_behavior": "max 3 rounds...",
              "codex_behavior": "max 3 rounds...",
              "drift_severity": "none|minor|major|critical",
              "recommendation": "..."
              }]
              1. 汇总输出到 stdout

              Acceptance criteria

              • bun run lint:autopilot 运行 lint
              • 对 aligned 的 prompt 输出 no drift
              • 对人为制造差异的 prompt 能检测并报告
              • 输出格式为结构化 JSON

              Blocked by

              Activity

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                resolvedAutopilot has resolved this issue

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                  No milestone

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                  None yet

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                  , '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

                  05: Lint script for autopilot prompt drift detection #52

                  Description

                  @MatthewYe

                  Parent

                  #47

                  What to build

                  实现 scripts/lint-autopilot.ts,通过 LLM 检测两份 autopilot prompt 产物之间的漂移:

                  1. 读取 packages/opencode/commands/autopilot.mdpackages/codex/skills/autopilot/SKILL.md
                  2. 构造 prompt 发给 LLM,要求对比 shared 逻辑的一致性
                  3. LLM 输出结构化 JSON drift report:
                  [{
                  "section": "Phase 1: Dispatch Loop - Retry count",
                  "opencode_behavior": "max 3 rounds...",
                  "codex_behavior": "max 3 rounds...",
                  "drift_severity": "none|minor|major|critical",
                  "recommendation": "..."
                  }]
                  1. 汇总输出到 stdout

                  Acceptance criteria

                  • bun run lint:autopilot 运行 lint
                  • 对 aligned 的 prompt 输出 no drift
                  • 对人为制造差异的 prompt 能检测并报告
                  • 输出格式为结构化 JSON

                  Blocked by

                  Activity

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                  No one assigned

                    Labels

                    resolvedAutopilot has resolved this issue

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                      No milestone

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                      None yet

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                      No branches or pull requests

                      Issue actions

                      , '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

                      05: Lint script for autopilot prompt drift detection #52

                      Description

                      @MatthewYe

                      Parent

                      #47

                      What to build

                      实现 scripts/lint-autopilot.ts,通过 LLM 检测两份 autopilot prompt 产物之间的漂移:

                      1. 读取 packages/opencode/commands/autopilot.mdpackages/codex/skills/autopilot/SKILL.md
                      2. 构造 prompt 发给 LLM,要求对比 shared 逻辑的一致性
                      3. LLM 输出结构化 JSON drift report:
                      [{
                      "section": "Phase 1: Dispatch Loop - Retry count",
                      "opencode_behavior": "max 3 rounds...",
                      "codex_behavior": "max 3 rounds...",
                      "drift_severity": "none|minor|major|critical",
                      "recommendation": "..."
                      }]
                      1. 汇总输出到 stdout

                      Acceptance criteria

                      • bun run lint:autopilot 运行 lint
                      • 对 aligned 的 prompt 输出 no drift
                      • 对人为制造差异的 prompt 能检测并报告
                      • 输出格式为结构化 JSON

                      Blocked by

                      Activity

                      Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

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                      No one assigned

                        Labels

                        resolvedAutopilot has resolved this issue

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                        No projects

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                          No milestone

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                          None yet

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                          No branches or pull requests

                          Issue actions

                          , '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

                          05: Lint script for autopilot prompt drift detection #52

                          Description

                          @MatthewYe

                          Parent

                          #47

                          What to build

                          实现 scripts/lint-autopilot.ts,通过 LLM 检测两份 autopilot prompt 产物之间的漂移:

                          1. 读取 packages/opencode/commands/autopilot.mdpackages/codex/skills/autopilot/SKILL.md
                          2. 构造 prompt 发给 LLM,要求对比 shared 逻辑的一致性
                          3. LLM 输出结构化 JSON drift report:
                          [{
                          "section": "Phase 1: Dispatch Loop - Retry count",
                          "opencode_behavior": "max 3 rounds...",
                          "codex_behavior": "max 3 rounds...",
                          "drift_severity": "none|minor|major|critical",
                          "recommendation": "..."
                          }]
                          1. 汇总输出到 stdout

                          Acceptance criteria

                          • bun run lint:autopilot 运行 lint
                          • 对 aligned 的 prompt 输出 no drift
                          • 对人为制造差异的 prompt 能检测并报告
                          • 输出格式为结构化 JSON

                          Blocked by

                          Activity

                          Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

                          Metadata

                          Metadata

                          Assignees

                          No one assigned

                            Labels

                            resolvedAutopilot has resolved this issue

                            Projects

                            No projects

                              Milestone

                              No milestone

                              Relationships

                              None yet

                              Development

                              No branches or pull requests

                              Issue actions

                              , '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

                              05: Lint script for autopilot prompt drift detection #52

                              Description

                              @MatthewYe

                              Parent

                              #47

                              What to build

                              实现 scripts/lint-autopilot.ts,通过 LLM 检测两份 autopilot prompt 产物之间的漂移:

                              1. 读取 packages/opencode/commands/autopilot.mdpackages/codex/skills/autopilot/SKILL.md
                              2. 构造 prompt 发给 LLM,要求对比 shared 逻辑的一致性
                              3. LLM 输出结构化 JSON drift report:
                              [{
                              "section": "Phase 1: Dispatch Loop - Retry count",
                              "opencode_behavior": "max 3 rounds...",
                              "codex_behavior": "max 3 rounds...",
                              "drift_severity": "none|minor|major|critical",
                              "recommendation": "..."
                              }]
                              1. 汇总输出到 stdout

                              Acceptance criteria

                              • bun run lint:autopilot 运行 lint
                              • 对 aligned 的 prompt 输出 no drift
                              • 对人为制造差异的 prompt 能检测并报告
                              • 输出格式为结构化 JSON

                              Blocked by

                              Activity

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                              Metadata

                              Assignees

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                                Labels

                                resolvedAutopilot has resolved this issue

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                                No projects

                                  Milestone

                                  No milestone

                                  Relationships

                                  None yet

                                  Development

                                  No branches or pull requests

                                  Issue actions