[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6FX0236JTK4ZZ476HMZB954":3,"skill-same:01M6FX0236JTK4ZZ476HMZB954":82},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":23,"publishedAt":39,"linkOnly":40,"markdownContent":41,"markdownBody":42,"frontMatter":43,"refName":48,"commitSha":49,"skillDirectory":50,"forksCount":51,"repositoryHtmlUrl":52,"repositoryHomepageUrl":53,"ownerHtmlUrl":54,"ownerBlogUrl":55,"ownerDescription":56,"updatedAt":57,"install":58,"resources":71},"01M6FX0236JTK4ZZ476HMZB954","ord-scan",null,"Scan for OSS tool opportunities from npm gaps, GitHub trends, and developer pain points","GeorgeQLe\u002Fagentic-skills","GeorgeQLe","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F21134126?v=4","01M6D2JP418S0VGJGF8M93EC3H","George Le","01M6D2JPBAKYD82TA5FS6HKQ3D",1,"MIT","https:\u002F\u002Fgithub.com\u002FGeorgeQLe\u002Fagentic-skills\u002Fblob\u002Fmaster\u002Fpacks\u002Ford\u002Fcodex\u002Ford-scan\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000021","资料检索与研究","SCENARIO","使用场景",[24,25,26,27,28,29,30,31,32,33,34,35,36,37,38],"scan","ord scan","github","research","pain points","npm","developer","tool","page","v0","only","alignment","artifact","trends","oss","2026-11-10 10:12:30",false,"---\nname: ord-scan\ndescription: Scan for OSS tool opportunities from npm gaps, GitHub trends, and developer pain points\ntype: research\nversion: v0.2\nrequired_conventions: [alignment-page]\ncontext_intake: artifact_only\n---\n\n# ORD Scan\n\nInvoke as `$ord-scan`.\n\nRapid opportunity scanner for open-source developer tools. Identifies gaps in the npm ecosystem, trending developer pain points, and CLI\u002Flibrary opportunities after scope and artifact approval.\n\n## Report-First Approval Gate\n\nDefault to scope-first approval: before synthesized research, inspect only enough repository, user, and source context to propose research scope, source plan, assumptions, output paths, and approval questions in a `review` alignment page plus a concise conversation summary.\n\nDo not perform synthesized research, rank candidates, make recommendations, or write working packets or canonical deliverables until final compiled YAML approves the research scope. Minimal pre-approval discovery may identify available files, source categories, developer ecosystem areas, and open questions; label it as scope evidence, not findings.\n\nAfter approved research-scope YAML, perform the rapid ORD scan and write only the non-canonical working packet defined in the staged workflow. Then update the `review` alignment page with the candidate briefs and stop again for feedback-only YAML or final compiled YAML artifact approval before creating or updating canonical research, spec, task, or alignment files.\n\nDo not include `Recommended next skill`, `Recommended next command`, or downstream routing language before final artifact approval. The approval request itself is the next action. Only emit `$ord-align` routing after the approved canonical scan artifact has been written or updated.\n\n## Staged Research Workflow\n\nUse this staged workflow for synthesized research or report outputs that would create or update canonical research, spec, or task files.\n\n1. **Stage 1 - Scope discovery and approval.** Inspect only enough repository, user, and source context to propose research scope, source plan, assumptions, output paths, and approval questions. Build the `review` HTML alignment page before synthesized research. The page must render the proposed scope, available source categories, known context, assumptions\u002Fconfidence, proposed working-packet and canonical output paths, and research-scope approval gates. Stop for final compiled YAML approval of the research scope. Do not perform synthesized research, rank candidates, make recommendations, or write working packets, canonical research, spec, or task files in Stage 1. For this skill, flat mode proposes `research\u002F_working\u002Fpreliminary-ord-scan-research.md`; product-path mode proposes `research\u002F{slug}\u002F_working\u002Fpreliminary-ord-scan-research.md`.\n2. **Stage 2 - Research and artifact review.** Only after approved research-scope YAML with no unresolved `needs-clarification`, unresolved `down` feedback, or other unresolved negative feedback, perform the synthesized research, run required source\u002Fcode checks, and write only a non-canonical working packet: flat mode uses `research\u002F_working\u002Fpreliminary-\u003Cskill>-research.md`; product-path mode uses `research\u002F{slug}\u002F_working\u002Fpreliminary-\u003Cskill>-research.md`. Replace `\u003Cskill>` with this skill's `name` value. For ORD scan, write `research\u002F_working\u002Fpreliminary-ord-scan-research.md` or `research\u002F{slug}\u002F_working\u002Fpreliminary-ord-scan-research.md`. Raw evidence or search logs may remain as supporting evidence where this skill already requires them, but synthesized deliverables stay in the working packet. Keep the packet lightweight: 2-5 candidates, each only a few lines plus evidence\u002Fsource notes. Update the `review` HTML alignment page so it renders the complete working-packet substance as structured HTML review UI: purpose-built sections, tables, matrices, gates, cards, and tier-appropriate charts or diagrams that preserve every packet section, finding, caveat, and decision detail without summary loss. Raw Markdown packet text may appear only as a supplemental source view after the rendered review UI; do not make a `Full Preliminary Packet` or `Full Working Packet` raw Markdown dump, giant `\u003Cpre>\u003Ccode>` block, link-only view, or source-only view the primary review surface. Include the evidence matrix, assumptions\u002Fconfidence register, source coverage gaps, proposed canonical file changes, and artifact approval gates. Stop for either feedback-only YAML or final compiled YAML. Feedback-only YAML revises the working packet and page, then remains in Stage 2.\n3. **Stage 3 - Finalize approved artifacts.** Consume final compiled YAML for artifact approval only when it has no unresolved `needs-clarification`, unresolved `down` feedback, or other unresolved negative feedback. Apply approved edits first, archive the working packet to `docs\u002Fhistory\u002Farchive\u002FYYYY-MM-DD\u002FHHMMSS\u002F\u003Coriginal-working-path>`, remove the active working packet, write the approved canonical artifacts to the unchanged output paths below, and convert the alignment page to `confirmed` with the approval record preserved.\n\nCanonical output paths remain unchanged. For this skill, flat mode writes the approved scan to `research\u002Ford-scan.md`; product-path mode writes `research\u002F{slug}\u002Ford-scan.md`. Search logs and other supporting evidence remain allowed only where this skill's output contract already requires them.\n\n## Evidence And Feedback Handling\n\nTreat user feedback as input to evaluate, not as automatic ground truth.\n\n- For factual, evidentiary, technical, or source-backed claims: verify against available evidence. If the user appears to misunderstand the evidence or states something factually incorrect, push back clearly and cite the evidence. Do not rewrite findings merely to agree.\n- For taste, brand, positioning preference, risk appetite, prioritization, or other subjective judgment calls: weigh user feedback heavily and adapt the recommendation unless it conflicts with verified evidence.\n- When feedback mixes facts and preference, separate them explicitly: correct the factual part, then incorporate the preference where it is a legitimate judgment call.\n- When uncertain, say what is known, what is inferred, and what would change the conclusion.\n\n## Process\n\n1. **Resolve scope:** Use `$ARGUMENTS` to narrow developer domain, package ecosystem, tool category, target developer persona, timing window, or product path. If a non-archived `research\u002F{slug}\u002F` product path is in scope, use product-path output locations; otherwise use flat `research\u002F` output locations.\n2. **Gather signals:** After Stage 1 approval, scan for opportunities across:\n   - npm packages with high download counts but poor DX, stale maintenance, or missing features\n   - GitHub trending repos and discussions revealing unmet developer needs\n   - Stack Overflow \u002F Reddit \u002F HN threads where developers complain about tooling gaps\n   - Build tool, testing, CLI, and workflow automation gaps\n   - Wrapper\u002Fadapter opportunities (bridging two popular tools that don't talk to each other)\n3. **Filter for ORD fit:** Each candidate must pass:\n   - Buildable and publishable in 1-3 days\n   - Clear value proposition explainable in one sentence\n   - npm namespace likely available (or scoped package viable)\n   - No heavy runtime dependencies or complex native bindings\n   - Solves a real, recurring developer pain point (not a toy)\n4. **Produce preliminary brief:** For each viable candidate (aim for 2-5), write the Stage 2 working packet with:\n   - One-line concept\n   - Problem it solves (the pain point)\n   - Why it doesn't exist yet (or why existing solutions fall short)\n   - Build estimate (hours)\n   - Distribution: npm, GitHub, dev community channels\n   - Monetization potential (none \u002F sponsorware \u002F freemium CLI \u002F premium features)\n   - Evidence notes and confidence level\n5. **Rank for artifact review:** Order candidates by developer pain, feasibility, and ecosystem gap size. Highlight the proposed top pick only in the Stage 2 working packet and artifact-review alignment page.\n6. **Finalize after approval:** After final artifact approval, archive the working packet, write the approved canonical scan artifact, confirm the alignment page, and then recommend `$ord-align`.\n\n## Output\n\nStage 1 output is only the scope-review alignment page and a concise request for final compiled YAML approving scope.\n\nStage 2 output is the working packet at `research\u002F_working\u002Fpreliminary-ord-scan-research.md` or `research\u002F{slug}\u002F_working\u002Fpreliminary-ord-scan-research.md`, plus the updated artifact-review alignment page.\n\nStage 3 output is the approved canonical scan artifact at `research\u002Ford-scan.md` or `research\u002F{slug}\u002Ford-scan.md`. End the final approved artifact with:\n\n```md\n**Top pick:** \u003Cconcept name>\n**Next work:** validate top pick feasibility and namespace\n**Recommended next command:** $ord-align\n```\n\n## Constraints\n\n- Do not produce full idea-scope-brief depth - keep each candidate to a few lines.\n- Do not begin implementation or scaffolding.\n- Do not run paid API calls or external account actions.\n- If `$ARGUMENTS` specifies a domain or constraint (e.g., \"CLI tools\" or \"testing\"), narrow the scan.\n- Do not write canonical scan artifacts, specs, tasks, or next-command routing before final artifact approval.\n\n## Alignment Page\n\nFollow the shared alignment-page convention via the packaged convention resolver; output path is `alignment\u002Ford-scan-{topic}.html`.\n\n## Default Shipping Contract\n\nFollow the shared shipping contract convention.\n","# ORD Scan\n\nInvoke as `$ord-scan`.\n\nRapid opportunity scanner for open-source developer tools. Identifies gaps in the npm ecosystem, trending developer pain points, and CLI\u002Flibrary opportunities after scope and artifact approval.\n\n## Report-First Approval Gate\n\nDefault to scope-first approval: before synthesized research, inspect only enough repository, user, and source context to propose research scope, source plan, assumptions, output paths, and approval questions in a `review` alignment page plus a concise conversation summary.\n\nDo not perform synthesized research, rank candidates, make recommendations, or write working packets or canonical deliverables until final compiled YAML approves the research scope. Minimal pre-approval discovery may identify available files, source categories, developer ecosystem areas, and open questions; label it as scope evidence, not findings.\n\nAfter approved research-scope YAML, perform the rapid ORD scan and write only the non-canonical working packet defined in the staged workflow. Then update the `review` alignment page with the candidate briefs and stop again for feedback-only YAML or final compiled YAML artifact approval before creating or updating canonical research, spec, task, or alignment files.\n\nDo not include `Recommended next skill`, `Recommended next command`, or downstream routing language before final artifact approval. The approval request itself is the next action. Only emit `$ord-align` routing after the approved canonical scan artifact has been written or updated.\n\n## Staged Research Workflow\n\nUse this staged workflow for synthesized research or report outputs that would create or update canonical research, spec, or task files.\n\n1. **Stage 1 - Scope discovery and approval.** Inspect only enough repository, user, and source context to propose research scope, source plan, assumptions, output paths, and approval questions. Build the `review` HTML alignment page before synthesized research. The page must render the proposed scope, available source categories, known context, assumptions\u002Fconfidence, proposed working-packet and canonical output paths, and research-scope approval gates. Stop for final compiled YAML approval of the research scope. Do not perform synthesized research, rank candidates, make recommendations, or write working packets, canonical research, spec, or task files in Stage 1. For this skill, flat mode proposes `research\u002F_working\u002Fpreliminary-ord-scan-research.md`; product-path mode proposes `research\u002F{slug}\u002F_working\u002Fpreliminary-ord-scan-research.md`.\n2. **Stage 2 - Research and artifact review.** Only after approved research-scope YAML with no unresolved `needs-clarification`, unresolved `down` feedback, or other unresolved negative feedback, perform the synthesized research, run required source\u002Fcode checks, and write only a non-canonical working packet: flat mode uses `research\u002F_working\u002Fpreliminary-\u003Cskill>-research.md`; product-path mode uses `research\u002F{slug}\u002F_working\u002Fpreliminary-\u003Cskill>-research.md`. Replace `\u003Cskill>` with this skill's `name` value. For ORD scan, write `research\u002F_working\u002Fpreliminary-ord-scan-research.md` or `research\u002F{slug}\u002F_working\u002Fpreliminary-ord-scan-research.md`. Raw evidence or search logs may remain as supporting evidence where this skill already requires them, but synthesized deliverables stay in the working packet. Keep the packet lightweight: 2-5 candidates, each only a few lines plus evidence\u002Fsource notes. Update the `review` HTML alignment page so it renders the complete working-packet substance as structured HTML review UI: purpose-built sections, tables, matrices, gates, cards, and tier-appropriate charts or diagrams that preserve every packet section, finding, caveat, and decision detail without summary loss. Raw Markdown packet text may appear only as a supplemental source view after the rendered review UI; do not make a `Full Preliminary Packet` or `Full Working Packet` raw Markdown dump, giant `\u003Cpre>\u003Ccode>` block, link-only view, or source-only view the primary review surface. Include the evidence matrix, assumptions\u002Fconfidence register, source coverage gaps, proposed canonical file changes, and artifact approval gates. Stop for either feedback-only YAML or final compiled YAML. Feedback-only YAML revises the working packet and page, then remains in Stage 2.\n3. **Stage 3 - Finalize approved artifacts.** Consume final compiled YAML for artifact approval only when it has no unresolved `needs-clarification`, unresolved `down` feedback, or other unresolved negative feedback. Apply approved edits first, archive the working packet to `docs\u002Fhistory\u002Farchive\u002FYYYY-MM-DD\u002FHHMMSS\u002F\u003Coriginal-working-path>`, remove the active working packet, write the approved canonical artifacts to the unchanged output paths below, and convert the alignment page to `confirmed` with the approval record preserved.\n\nCanonical output paths remain unchanged. For this skill, flat mode writes the approved scan to `research\u002Ford-scan.md`; product-path mode writes `research\u002F{slug}\u002Ford-scan.md`. Search logs and other supporting evidence remain allowed only where this skill's output contract already requires them.\n\n## Evidence And Feedback Handling\n\nTreat user feedback as input to evaluate, not as automatic ground truth.\n\n- For factual, evidentiary, technical, or source-backed claims: verify against available evidence. If the user appears to misunderstand the evidence or states something factually incorrect, push back clearly and cite the evidence. Do not rewrite findings merely to agree.\n- For taste, brand, positioning preference, risk appetite, prioritization, or other subjective judgment calls: weigh user feedback heavily and adapt the recommendation unless it conflicts with verified evidence.\n- When feedback mixes facts and preference, separate them explicitly: correct the factual part, then incorporate the preference where it is a legitimate judgment call.\n- When uncertain, say what is known, what is inferred, and what would change the conclusion.\n\n## Process\n\n1. **Resolve scope:** Use `$ARGUMENTS` to narrow developer domain, package ecosystem, tool category, target developer persona, timing window, or product path. If a non-archived `research\u002F{slug}\u002F` product path is in scope, use product-path output locations; otherwise use flat `research\u002F` output locations.\n2. **Gather signals:** After Stage 1 approval, scan for opportunities across:\n   - npm packages with high download counts but poor DX, stale maintenance, or missing features\n   - GitHub trending repos and discussions revealing unmet developer needs\n   - Stack Overflow \u002F Reddit \u002F HN threads where developers complain about tooling gaps\n   - Build tool, testing, CLI, and workflow automation gaps\n   - Wrapper\u002Fadapter opportunities (bridging two popular tools that don't talk to each other)\n3. **Filter for ORD fit:** Each candidate must pass:\n   - Buildable and publishable in 1-3 days\n   - Clear value proposition explainable in one sentence\n   - npm namespace likely available (or scoped package viable)\n   - No heavy runtime dependencies or complex native bindings\n   - Solves a real, recurring developer pain point (not a toy)\n4. **Produce preliminary brief:** For each viable candidate (aim for 2-5), write the Stage 2 working packet with:\n   - One-line concept\n   - Problem it solves (the pain point)\n   - Why it doesn't exist yet (or why existing solutions fall short)\n   - Build estimate (hours)\n   - Distribution: npm, GitHub, dev community channels\n   - Monetization potential (none \u002F sponsorware \u002F freemium CLI \u002F premium features)\n   - Evidence notes and confidence level\n5. **Rank for artifact review:** Order candidates by developer pain, feasibility, and ecosystem gap size. Highlight the proposed top pick only in the Stage 2 working packet and artifact-review alignment page.\n6. **Finalize after approval:** After final artifact approval, archive the working packet, write the approved canonical scan artifact, confirm the alignment page, and then recommend `$ord-align`.\n\n## Output\n\nStage 1 output is only the scope-review alignment page and a concise request for final compiled YAML approving scope.\n\nStage 2 output is the working packet at `research\u002F_working\u002Fpreliminary-ord-scan-research.md` or `research\u002F{slug}\u002F_working\u002Fpreliminary-ord-scan-research.md`, plus the updated artifact-review alignment page.\n\nStage 3 output is the approved canonical scan artifact at `research\u002Ford-scan.md` or `research\u002F{slug}\u002Ford-scan.md`. End the final approved artifact with:\n\n```md\n**Top pick:** \u003Cconcept name>\n**Next work:** validate top pick feasibility and namespace\n**Recommended next command:** $ord-align\n```\n\n## Constraints\n\n- Do not produce full idea-scope-brief depth - keep each candidate to a few lines.\n- Do not begin implementation or scaffolding.\n- Do not run paid API calls or external account actions.\n- If `$ARGUMENTS` specifies a domain or constraint (e.g., \"CLI tools\" or \"testing\"), narrow the scan.\n- Do not write canonical scan artifacts, specs, tasks, or next-command routing before final artifact approval.\n\n## Alignment Page\n\nFollow the shared alignment-page convention via the packaged convention resolver; output path is `alignment\u002Ford-scan-{topic}.html`.\n\n## Default Shipping Contract\n\nFollow the shared shipping contract convention.\n",{"name":5,"type":27,"version":44,"description":7,"context_intake":45,"required_conventions":46},"v0.2","artifact_only",[47],"alignment-page","master","96e2912af886dd1606b1b97df707715aef062b02","packs\u002Ford\u002Fcodex\u002Ford-scan",0,"https:\u002F\u002Fgithub.com\u002FGeorgeQLe\u002Fagentic-skills","https:\u002F\u002Fagentic-skills-blush.vercel.app","https:\u002F\u002Fgithub.com\u002FGeorgeQLe","georgeqle.com","George Le is a futurist and serial tech entrepreneur who wants to work toward a world where humanity is free from robotic tasks.","2026-11-10 04:07:24",{"source":8,"skillName":5,"commands":59,"prompt":69,"zipAvailable":70},[60,63,66],{"tool":61,"command":62},"npx","npx skills add GeorgeQLe\u002Fagentic-skills --skill ord-scan",{"tool":64,"command":65},"bunx","bunx skills add GeorgeQLe\u002Fagentic-skills --skill ord-scan",{"tool":67,"command":68},"pnpm","pnpm dlx skills add GeorgeQLe\u002Fagentic-skills --skill ord-scan","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FGeorgeQLe\u002Fagentic-skills\u002Fblob\u002Fmaster\u002Fpacks\u002Ford\u002Fcodex\u002Ford-scan\u002FSKILL.md",true,[72,78],{"path":73,"resourceType":74,"resourceTypeDesc":75,"sizeBytes":76,"sourceHtmlUrl":77},"ALIGNMENT-PAGE.md","REFERENCE","参考文档",53434,"https:\u002F\u002Fgithub.com\u002FGeorgeQLe\u002Fagentic-skills\u002Fblob\u002Fmaster\u002Fpacks\u002Ford\u002Fcodex\u002Ford-scan\u002FALIGNMENT-PAGE.md",{"path":79,"resourceType":74,"resourceTypeDesc":75,"sizeBytes":80,"sourceHtmlUrl":81},"CHANGELOG.md",596,"https:\u002F\u002Fgithub.com\u002FGeorgeQLe\u002Fagentic-skills\u002Fblob\u002Fmaster\u002Fpacks\u002Ford\u002Fcodex\u002Ford-scan\u002FCHANGELOG.md",[83,94,104,116,129,140],{"skillNo":84,"name":85,"nameZh":6,"description":86,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":87,"categories":88,"keywords":89,"publishedAt":39},"01M6G0NJES15RJKZE6YZ0TSYGF","source-checkout-allowed","Valid source-checkout-only fixture.","https:\u002F\u002Fgithub.com\u002FGeorgeQLe\u002Fagentic-skills\u002Fblob\u002Fmaster\u002Ftests\u002Ffixtures\u002Fskill-install-routing\u002Fvalid\u002Fsource-checkout-allowed\u002FSKILL.md",[],[90,91,92,34,33,93],"source checkout allowed","checkout","fixture","valid",{"skillNo":95,"name":96,"nameZh":6,"description":97,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":98,"categories":99,"keywords":100,"publishedAt":39},"01M6G0NFZ3R1MNB1E3DVTM0WB7","deck-install-valid","Valid deck install fixture.","https:\u002F\u002Fgithub.com\u002FGeorgeQLe\u002Fagentic-skills\u002Fblob\u002Fmaster\u002Ftests\u002Ffixtures\u002Fskill-install-routing\u002Fvalid\u002Fdeck-install\u002FSKILL.md",[],[101,102,103,93,92,33],"deck install valid","deck","install",{"skillNo":105,"name":106,"nameZh":6,"description":107,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":108,"categories":109,"keywords":110,"publishedAt":39},"01M6G0ND3QZQC4MDZ9NVB97PT2","codex-pack-guard-valid","Valid Codex Pack Availability Guard fixture.","https:\u002F\u002Fgithub.com\u002FGeorgeQLe\u002Fagentic-skills\u002Fblob\u002Fmaster\u002Ftests\u002Ffixtures\u002Fskill-install-routing\u002Fvalid\u002Fcodex-pack-guard\u002FSKILL.md",[],[111,112,113,93,114,115,92,33],"codex pack guard valid","pack","guard","codex","availability",{"skillNo":117,"name":118,"nameZh":6,"description":119,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":120,"categories":121,"keywords":125,"publishedAt":39},"01M6G0NA9YB3NKGZKD3S96JMNB","codex-missing-skill-valid","Valid Codex missing skill fallback fixture.","https:\u002F\u002Fgithub.com\u002FGeorgeQLe\u002Fagentic-skills\u002Fblob\u002Fmaster\u002Ftests\u002Ffixtures\u002Fskill-install-routing\u002Fvalid\u002Fcodex-missing-skill-fallback\u002FSKILL.md",[122],{"categoryNo":123,"categoryName":124,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",[126,127,93,114,33,128,92],"codex missing skill valid","missing","fallback",{"skillNo":130,"name":131,"nameZh":6,"description":132,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":133,"categories":134,"keywords":136,"publishedAt":39},"01M6G0N7PC0EKFD40ZWQAXSAQ9","codex-base-skill-fallback-valid","Valid Codex base skill fallback fixture.","https:\u002F\u002Fgithub.com\u002FGeorgeQLe\u002Fagentic-skills\u002Fblob\u002Fmaster\u002Ftests\u002Ffixtures\u002Fskill-install-routing\u002Fvalid\u002Fcodex-base-skill-fallback\u002FSKILL.md",[135],{"categoryNo":123,"categoryName":124,"taxonomyType":21,"taxonomyTypeDesc":22},[93,114,128,137,138,139,33,92],"base skill","codex base skill fallback valid","base",{"skillNo":141,"name":142,"nameZh":6,"description":143,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":144,"categories":145,"keywords":146,"publishedAt":39},"01M6G0N4VRR2YKZQ6N3Y6S2BQA","claude-pack-guard-valid","Valid Claude Pack Availability Guard fixture.","https:\u002F\u002Fgithub.com\u002FGeorgeQLe\u002Fagentic-skills\u002Fblob\u002Fmaster\u002Ftests\u002Ffixtures\u002Fskill-install-routing\u002Fvalid\u002Fclaude-pack-guard\u002FSKILL.md",[],[93,113,112,147,115,33,92],"claude pack guard valid"]