[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6C3BDMEBWDK3TS10FFNPP1N":3,"skill-same:01M6C3BDMEBWDK3TS10FFNPP1N":72},{"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":26,"publishedAt":37,"linkOnly":38,"markdownContent":39,"markdownBody":40,"frontMatter":41,"refName":48,"commitSha":49,"skillDirectory":50,"forksCount":51,"repositoryHtmlUrl":52,"repositoryHomepageUrl":53,"ownerHtmlUrl":54,"ownerBlogUrl":55,"ownerDescription":56,"updatedAt":57,"install":58,"resources":71},"01M6C3BDMEBWDK3TS10FFNPP1N","research-cite",null,"Format citations and generate bibliographies","jmagly\u002Faiwg","jmagly","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F1159087?v=4","01M6C10AK8N2WCSQN11FYGTJWN","Joseph Magly","01M6C10AQ8A2RMED1Y1BSVY7NF",229,"MIT","https:\u002F\u002Fgithub.com\u002Fjmagly\u002Faiwg\u002Fblob\u002Fmain\u002Fagentic\u002Fcode\u002Fplugins\u002Fresearch\u002Fskills\u002Fresearch-cite\u002FSKILL.md",[18,23],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000021","资料检索与研究","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",[27,28,29,30,31,32,33,34,35,36],"research","research cite","generate","Citations","format","page","reference","Citation","bibtex","inline","2026-11-10 10:12:30",false,"---\nnamespace: aiwg\nname: research-cite\nplatforms: [all]\ndescription: Format citations and generate bibliographies\ncommandHint:\n  argumentHint: \"[REF-XXX] [--format inline|bibtex|reference] [--page n]\"\n  category: research-citation\n---\n\n# Research Cite Command\n\nGenerate properly formatted, policy-compliant citations from the research corpus.\n\n## Instructions\n\nWhen invoked, generate correct citations:\n\n1. **Locate Source**\n   - Search `.aiwg\u002Fresearch\u002Fsources\u002F` and `.aiwg\u002Fresearch\u002Ffindings\u002F` for specified reference\n   - Match by REF-XXX identifier, author name, or keyword\n   - If multiple matches, present options for user selection\n\n2. **Load Metadata**\n   - Extract frontmatter: ref_id, title, authors, year, DOI, source_type\n   - Load quality assessment if available\n   - Determine GRADE level\n\n3. **Generate Citation**\n   - Format @-mention citation with full path\n   - Include page numbers if specified\n   - Apply GRADE-appropriate hedging language\n   - Include quality level annotation\n\n4. **Output Formats**\n   - `inline` - Ready to paste into markdown with GRADE-appropriate language\n   - `bibtex` - BibTeX format for reference management\n   - `reference` - Full reference section entry\n   - `apa` - APA 7th edition format\n   - `chicago` - Chicago Manual of Style format\n\n## Arguments\n\n- `[ref-id or keyword]` - REF-XXX identifier or search keyword (required)\n- `--format [inline|bibtex|reference|apa|chicago]` - Output format (default: inline)\n- `--page [n]` - Include page reference\n- `--quote \"[text]\"` - Include direct quote with citation\n- `--hedging [suggest|none]` - Include hedging language suggestions (default: suggest)\n\n## Examples\n\n```bash\n# Basic inline citation\n\u002Fresearch-cite REF-022\n\n# Citation with page reference\n\u002Fresearch-cite REF-022 --page 4\n\n# Citation with quote\n\u002Fresearch-cite REF-022 --page 4 --quote \"deliberate decision making\"\n\n# BibTeX format for bibliography\n\u002Fresearch-cite REF-022 --format bibtex\n\n# Search by keyword\n\u002Fresearch-cite \"autogen multi-agent\" --format inline\n\n# Multiple citations for bibliography\n\u002Fresearch-cite REF-022 REF-001 REF-013 --format reference\n```\n\n## Expected Output\n\n### Inline Format (Default)\n\n```\n\u002Fresearch-cite REF-022 --page 4\n\nOutput:\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n\nCitation (inline format):\n\n  According to @.aiwg\u002Fresearch\u002Ffindings\u002FREF-022-autogen.md (p. 4),\n  AutoGen enables \"flexible conversation patterns\" through multi-agent\n  collaboration.\n\nGRADE Assessment: MODERATE\n  Source: arXiv preprint (peer-reviewed conference version available)\n  Quality: Moderate (single study, not systematic review)\n\nRecommended Hedging Language:\n  ✓ APPROPRIATE: \"Research suggests...\", \"Evidence indicates...\"\n  ✗ TOO STRONG: \"Research proves...\", \"Evidence demonstrates...\"\n  ✗ TOO WEAK: \"Some sources claim...\", \"Anecdotal reports suggest...\"\n\nUsage Example:\n  Multi-agent conversation patterns suggest flexible agent orchestration\n  is feasible for complex workflows (@.aiwg\u002Fresearch\u002Ffindings\u002FREF-022-autogen.md,\n  p. 4), though scalability limits require further investigation (GRADE: MODERATE).\n```\n\n### BibTeX Format\n\n```\n\u002Fresearch-cite REF-022 --format bibtex\n\nOutput:\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n\n@article{wu2023autogen,\n  title={AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation},\n  author={Wu, Qingyun and Bansal, Gagan and Zhang, Jieyu and Wu, Yiran and Zhang, Shaokun and Zhu, Erkang and Li, Beibin and Jiang, Li and Zhang, Xiaoyun and Wang, Chi},\n  journal={arXiv preprint arXiv:2308.08155},\n  year={2023},\n  doi={10.48550\u002FarXiv.2308.08155},\n  note={GRADE: MODERATE - arXiv preprint}\n}\n```\n\n### Reference Format\n\n```\n\u002Fresearch-cite REF-022 --format reference\n\nOutput:\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n\nWu, Q., Bansal, G., Zhang, J., Wu, Y., Zhang, S., Zhu, E., Li, B.,\nJiang, L., Zhang, X., & Wang, C. (2023). AutoGen: Enabling Next-Gen\nLLM Applications via Multi-Agent Conversation. *arXiv preprint*\narXiv:2308.08155. https:\u002F\u002Fdoi.org\u002F10.48550\u002FarXiv.2308.08155\n\nGRADE: MODERATE\nInternal Reference: @.aiwg\u002Fresearch\u002Ffindings\u002FREF-022-autogen.md\nPDF: @.aiwg\u002Fresearch\u002Fsources\u002FREF-022.pdf\n```\n\n## GRADE-Based Hedging\n\nCitations automatically include hedging guidance based on evidence quality:\n\n| GRADE Level | Appropriate Language | Avoid |\n|-------------|---------------------|-------|\n| **HIGH** | \"demonstrates\", \"shows\", \"confirms\" | Uncertainty language |\n| **MODERATE** | \"suggests\", \"indicates\", \"supports\" | Definitive claims |\n| **LOW** | \"limited evidence\", \"preliminary findings\" | Strong claims |\n| **VERY LOW** | \"anecdotal\", \"exploratory\", \"reports suggest\" | Confident claims |\n\n## Batch Citation\n\nGenerate bibliography for multiple sources:\n\n```bash\n\u002Fresearch-cite REF-001 REF-013 REF-022 REF-057 --format reference\n\nOutput:\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n\n## References\n\nFeng, Y., et al. (2024). The Landscape of Emerging AI Agent Architectures...\n  GRADE: MODERATE - @.aiwg\u002Fresearch\u002Ffindings\u002FREF-001-production-agentic.md\n\nHong, S., et al. (2023). MetaGPT: Meta Programming for Multi-Agent Systems...\n  GRADE: HIGH - @.aiwg\u002Fresearch\u002Ffindings\u002FREF-013-metagpt.md\n\nWu, Q., et al. (2023). AutoGen: Enabling Next-Gen LLM Applications...\n  GRADE: MODERATE - @.aiwg\u002Fresearch\u002Ffindings\u002FREF-022-autogen.md\n\nSchmidgall, S., et al. (2024). Agent Laboratory: Using LLM Agents...\n  GRADE: HIGH - @.aiwg\u002Fresearch\u002Ffindings\u002FREF-057-agent-laboratory.md\n```\n\n## Citation Validation\n\nAll citations are validated against:\n\nUse `aiwg corpus resolve` for verified paper identity before selecting a REF; exact REF existence does not itself verify paper metadata.\n\n- [ ] Source is a regular corpus Markdown file with the exact REF token (including zero padding and any letter suffix); reject blank or malformed IDs and directories\n- [ ] Metadata is complete (title, authors, year)\n- [ ] DOI\u002Fidentifier is valid\n- [ ] GRADE level is assessed\n- [ ] Hedging language matches quality level\n- [ ] Page references are within paper bounds (if PDF available)\n- [ ] Quotes are exact (if --quote provided)\n\n## Integration with Writing\n\nWhen writing documentation:\n\n1. Use `\u002Fresearch-cite REF-XXX` to get citation\n2. Copy inline format into document\n3. Use suggested hedging language\n4. Add @-mention for traceability\n5. Include GRADE level in internal notes\n\n## References\n\n- @$AIWG_ROOT\u002Fagentic\u002Fcode\u002Fframeworks\u002Fresearch-complete\u002Fagents\u002Fcitation-agent.md - Citation Agent\n- @$AIWG_ROOT\u002Fsrc\u002Fresearch\u002Fservices\u002Fcitation-service.ts - Citation formatting\n- @$AIWG_ROOT\u002Fagentic\u002Fcode\u002Fframeworks\u002Fsdlc-complete\u002Frules\u002Fcitation-policy.md - Citation policy requirements\n- @$AIWG_ROOT\u002Fagentic\u002Fcode\u002Fframeworks\u002Fsdlc-complete\u002Fschemas\u002Fresearch\u002Ffrontmatter-schema.yaml - Source metadata\n- @.aiwg\u002Fresearch\u002Fdocs\u002Fgrade-assessment-guide.md - GRADE levels\n","# Research Cite Command\n\nGenerate properly formatted, policy-compliant citations from the research corpus.\n\n## Instructions\n\nWhen invoked, generate correct citations:\n\n1. **Locate Source**\n   - Search `.aiwg\u002Fresearch\u002Fsources\u002F` and `.aiwg\u002Fresearch\u002Ffindings\u002F` for specified reference\n   - Match by REF-XXX identifier, author name, or keyword\n   - If multiple matches, present options for user selection\n\n2. **Load Metadata**\n   - Extract frontmatter: ref_id, title, authors, year, DOI, source_type\n   - Load quality assessment if available\n   - Determine GRADE level\n\n3. **Generate Citation**\n   - Format @-mention citation with full path\n   - Include page numbers if specified\n   - Apply GRADE-appropriate hedging language\n   - Include quality level annotation\n\n4. **Output Formats**\n   - `inline` - Ready to paste into markdown with GRADE-appropriate language\n   - `bibtex` - BibTeX format for reference management\n   - `reference` - Full reference section entry\n   - `apa` - APA 7th edition format\n   - `chicago` - Chicago Manual of Style format\n\n## Arguments\n\n- `[ref-id or keyword]` - REF-XXX identifier or search keyword (required)\n- `--format [inline|bibtex|reference|apa|chicago]` - Output format (default: inline)\n- `--page [n]` - Include page reference\n- `--quote \"[text]\"` - Include direct quote with citation\n- `--hedging [suggest|none]` - Include hedging language suggestions (default: suggest)\n\n## Examples\n\n```bash\n# Basic inline citation\n\u002Fresearch-cite REF-022\n\n# Citation with page reference\n\u002Fresearch-cite REF-022 --page 4\n\n# Citation with quote\n\u002Fresearch-cite REF-022 --page 4 --quote \"deliberate decision making\"\n\n# BibTeX format for bibliography\n\u002Fresearch-cite REF-022 --format bibtex\n\n# Search by keyword\n\u002Fresearch-cite \"autogen multi-agent\" --format inline\n\n# Multiple citations for bibliography\n\u002Fresearch-cite REF-022 REF-001 REF-013 --format reference\n```\n\n## Expected Output\n\n### Inline Format (Default)\n\n```\n\u002Fresearch-cite REF-022 --page 4\n\nOutput:\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n\nCitation (inline format):\n\n  According to @.aiwg\u002Fresearch\u002Ffindings\u002FREF-022-autogen.md (p. 4),\n  AutoGen enables \"flexible conversation patterns\" through multi-agent\n  collaboration.\n\nGRADE Assessment: MODERATE\n  Source: arXiv preprint (peer-reviewed conference version available)\n  Quality: Moderate (single study, not systematic review)\n\nRecommended Hedging Language:\n  ✓ APPROPRIATE: \"Research suggests...\", \"Evidence indicates...\"\n  ✗ TOO STRONG: \"Research proves...\", \"Evidence demonstrates...\"\n  ✗ TOO WEAK: \"Some sources claim...\", \"Anecdotal reports suggest...\"\n\nUsage Example:\n  Multi-agent conversation patterns suggest flexible agent orchestration\n  is feasible for complex workflows (@.aiwg\u002Fresearch\u002Ffindings\u002FREF-022-autogen.md,\n  p. 4), though scalability limits require further investigation (GRADE: MODERATE).\n```\n\n### BibTeX Format\n\n```\n\u002Fresearch-cite REF-022 --format bibtex\n\nOutput:\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n\n@article{wu2023autogen,\n  title={AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation},\n  author={Wu, Qingyun and Bansal, Gagan and Zhang, Jieyu and Wu, Yiran and Zhang, Shaokun and Zhu, Erkang and Li, Beibin and Jiang, Li and Zhang, Xiaoyun and Wang, Chi},\n  journal={arXiv preprint arXiv:2308.08155},\n  year={2023},\n  doi={10.48550\u002FarXiv.2308.08155},\n  note={GRADE: MODERATE - arXiv preprint}\n}\n```\n\n### Reference Format\n\n```\n\u002Fresearch-cite REF-022 --format reference\n\nOutput:\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n\nWu, Q., Bansal, G., Zhang, J., Wu, Y., Zhang, S., Zhu, E., Li, B.,\nJiang, L., Zhang, X., & Wang, C. (2023). AutoGen: Enabling Next-Gen\nLLM Applications via Multi-Agent Conversation. *arXiv preprint*\narXiv:2308.08155. https:\u002F\u002Fdoi.org\u002F10.48550\u002FarXiv.2308.08155\n\nGRADE: MODERATE\nInternal Reference: @.aiwg\u002Fresearch\u002Ffindings\u002FREF-022-autogen.md\nPDF: @.aiwg\u002Fresearch\u002Fsources\u002FREF-022.pdf\n```\n\n## GRADE-Based Hedging\n\nCitations automatically include hedging guidance based on evidence quality:\n\n| GRADE Level | Appropriate Language | Avoid |\n|-------------|---------------------|-------|\n| **HIGH** | \"demonstrates\", \"shows\", \"confirms\" | Uncertainty language |\n| **MODERATE** | \"suggests\", \"indicates\", \"supports\" | Definitive claims |\n| **LOW** | \"limited evidence\", \"preliminary findings\" | Strong claims |\n| **VERY LOW** | \"anecdotal\", \"exploratory\", \"reports suggest\" | Confident claims |\n\n## Batch Citation\n\nGenerate bibliography for multiple sources:\n\n```bash\n\u002Fresearch-cite REF-001 REF-013 REF-022 REF-057 --format reference\n\nOutput:\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n\n## References\n\nFeng, Y., et al. (2024). The Landscape of Emerging AI Agent Architectures...\n  GRADE: MODERATE - @.aiwg\u002Fresearch\u002Ffindings\u002FREF-001-production-agentic.md\n\nHong, S., et al. (2023). MetaGPT: Meta Programming for Multi-Agent Systems...\n  GRADE: HIGH - @.aiwg\u002Fresearch\u002Ffindings\u002FREF-013-metagpt.md\n\nWu, Q., et al. (2023). AutoGen: Enabling Next-Gen LLM Applications...\n  GRADE: MODERATE - @.aiwg\u002Fresearch\u002Ffindings\u002FREF-022-autogen.md\n\nSchmidgall, S., et al. (2024). Agent Laboratory: Using LLM Agents...\n  GRADE: HIGH - @.aiwg\u002Fresearch\u002Ffindings\u002FREF-057-agent-laboratory.md\n```\n\n## Citation Validation\n\nAll citations are validated against:\n\nUse `aiwg corpus resolve` for verified paper identity before selecting a REF; exact REF existence does not itself verify paper metadata.\n\n- [ ] Source is a regular corpus Markdown file with the exact REF token (including zero padding and any letter suffix); reject blank or malformed IDs and directories\n- [ ] Metadata is complete (title, authors, year)\n- [ ] DOI\u002Fidentifier is valid\n- [ ] GRADE level is assessed\n- [ ] Hedging language matches quality level\n- [ ] Page references are within paper bounds (if PDF available)\n- [ ] Quotes are exact (if --quote provided)\n\n## Integration with Writing\n\nWhen writing documentation:\n\n1. Use `\u002Fresearch-cite REF-XXX` to get citation\n2. Copy inline format into document\n3. Use suggested hedging language\n4. Add @-mention for traceability\n5. Include GRADE level in internal notes\n\n## References\n\n- @$AIWG_ROOT\u002Fagentic\u002Fcode\u002Fframeworks\u002Fresearch-complete\u002Fagents\u002Fcitation-agent.md - Citation Agent\n- @$AIWG_ROOT\u002Fsrc\u002Fresearch\u002Fservices\u002Fcitation-service.ts - Citation formatting\n- @$AIWG_ROOT\u002Fagentic\u002Fcode\u002Fframeworks\u002Fsdlc-complete\u002Frules\u002Fcitation-policy.md - Citation policy requirements\n- @$AIWG_ROOT\u002Fagentic\u002Fcode\u002Fframeworks\u002Fsdlc-complete\u002Fschemas\u002Fresearch\u002Ffrontmatter-schema.yaml - Source metadata\n- @.aiwg\u002Fresearch\u002Fdocs\u002Fgrade-assessment-guide.md - GRADE levels\n",{"name":5,"namespace":42,"platforms":43,"commandHint":45,"description":7},"aiwg",[44],"all",{"category":46,"argumentHint":47},"research-citation","[REF-XXX] [--format inline|bibtex|reference] [--page n]","main","6754967c344ccb087a8de06972f55a41067b291b","agentic\u002Fcode\u002Fplugins\u002Fresearch\u002Fskills\u002Fresearch-cite",36,"https:\u002F\u002Fgithub.com\u002Fjmagly\u002Faiwg","https:\u002F\u002Faiwg.io","https:\u002F\u002Fgithub.com\u002Fjmagly","https:\u002F\u002Fintegrolabs.io","ml\u002Fai, industrial automation, safety\u002Fsecurity, ssi\r\n\r\nmagly.net\r\nintegrolabs.io\r\naiwg.io\r\nfortemi.com\r\npagenary.com\r\nbytecask.com","2026-11-12 00:33:10",{"source":8,"skillName":5,"commands":59,"prompt":69,"zipAvailable":70},[60,63,66],{"tool":61,"command":62},"npx","npx skills add jmagly\u002Faiwg --skill research-cite",{"tool":64,"command":65},"bunx","bunx skills add jmagly\u002Faiwg --skill research-cite",{"tool":67,"command":68},"pnpm","pnpm dlx skills add jmagly\u002Faiwg --skill research-cite","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fjmagly\u002Faiwg\u002Fblob\u002Fmain\u002Fagentic\u002Fcode\u002Fplugins\u002Fresearch\u002Fskills\u002Fresearch-cite\u002FSKILL.md",true,[],[73,101,125,131,138,152],{"skillNo":74,"name":75,"nameZh":6,"description":76,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":77,"categories":78,"keywords":80,"publishedAt":37},"01M70QA0BSYJ49EES9V4RE8QH1","host-hardening","Read-only system hardening baseline and plan-first host hardening recommendations for SSH, Docker bind addresses, firewall persistence, datastores, exporters and audit retention.","https:\u002F\u002Fgithub.com\u002Fjmagly\u002Faiwg\u002Fblob\u002Fmain\u002Fagentic\u002Fcode\u002Fplugins\u002Fsecurity-engineering\u002Fskills\u002Fhost-hardening\u002FSKILL.md",[79],{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},[81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100],"host","host hardening","hardening","read","re","recommendations","remediation","plan","port","verification","Bash","access","only","retention","audit","never","firewall","bind","secrets","request",{"skillNo":102,"name":103,"nameZh":6,"description":104,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":105,"categories":106,"keywords":111,"publishedAt":37},"01M70PNT2Z4HMZPRBTAF6073NN","exposure-analysis","Read-only firewall analysis and effective host exposure reconstruction for Docker published ports, UFW bypass, stale rules, CDN scope, IPv6 asymmetry and external probe allowlists.","https:\u002F\u002Fgithub.com\u002Fjmagly\u002Faiwg\u002Fblob\u002Fmain\u002Fagentic\u002Fcode\u002Fplugins\u002Fforensics\u002Fskills\u002Fexposure-analysis\u002FSKILL.md",[107,110],{"categoryNo":108,"categoryName":109,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000011","运维与部署",{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},[112,113,114,84,115,89,116,117,91,118,81,119,93,120,121,96,97,122,123,124],"exposure analysis","analysis","unknown","credentials","collection","ufw","ports","internet","local","scope","reconstruction","operator","write",{"skillNo":126,"name":75,"nameZh":6,"description":76,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":127,"categories":128,"keywords":130,"publishedAt":37},"01M70P8QATMPKA78E4FT5D2TNA","https:\u002F\u002Fgithub.com\u002Fjmagly\u002Faiwg\u002Fblob\u002Fmain\u002Fagentic\u002Fcode\u002Fframeworks\u002Fsecurity-engineering\u002Fskills\u002Fhost-hardening\u002FSKILL.md",[129],{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},[83,81,82,92,84,100,87,86,95,88,89,90,91,99,93,94,85,96,97,98],{"skillNo":132,"name":103,"nameZh":6,"description":104,"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":137,"publishedAt":37},"01M70NMPVJ5H0JH131P60FW4R8","https:\u002F\u002Fgithub.com\u002Fjmagly\u002Faiwg\u002Fblob\u002Fmain\u002Fagentic\u002Fcode\u002Fframeworks\u002Fforensics-complete\u002Fskills\u002Fexposure-analysis\u002FSKILL.md",[135,136],{"categoryNo":108,"categoryName":109,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},[113,112,96,115,89,116,91,114,81,119,93,120,121,84,97,118,117,122,123,124],{"skillNo":139,"name":140,"nameZh":6,"description":141,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":142,"categories":143,"keywords":145,"publishedAt":37},"01M6CB4DDR0B4NNCFK7ZK7449H","fixture-skill","Exercise rule delivery.","https:\u002F\u002Fgithub.com\u002Fjmagly\u002Faiwg\u002Fblob\u002Fmain\u002Ftest\u002Ffixtures\u002Frule-delivery\u002Fskills\u002Ffixture-skill\u002FSKILL.md",[144],{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},[146,147,148,149,150,151],"fixture skill","fixture","rule","delivery","true","exercise",{"skillNo":153,"name":154,"nameZh":6,"description":155,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":156,"categories":157,"keywords":159,"publishedAt":37},"01M6CB4AVK1W76MFMPP0JP32CJ","pi-local","Pi-local duplicate-precedence fixture.","https:\u002F\u002Fgithub.com\u002Fjmagly\u002Faiwg\u002Fblob\u002Fmain\u002Ftest\u002Ffixtures\u002Fproviders\u002Fpi\u002Fproject\u002F.pi\u002Fskills\u002Fpi-local\u002FSKILL.md",[158],{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},[160,161,120,162,147],"pi","pi local","duplicate"]