[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6P26D91WF2WT2NHA657Z6YK":3,"skill-same:01M6P26D91WF2WT2NHA657Z6YK":191},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":22,"publishedAt":43,"linkOnly":44,"markdownContent":45,"markdownBody":46,"frontMatter":47,"refName":30,"commitSha":57,"skillDirectory":58,"forksCount":13,"repositoryHtmlUrl":59,"repositoryHomepageUrl":6,"ownerHtmlUrl":60,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":61,"install":62,"resources":75},"01M6P26D91WF2WT2NHA657Z6YK","ecl-harness-engineer",null,"Create or audit ECL Agent Harness infrastructure: AGENTS.md, change tracking, repository guidance, lint checks, CI gates, and agent handoff docs.","duc-duy-1612\u002FOnline-Delivery-Systems-Web","duc-duy-1612","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F192231384?v=4","01M6NSDKQQDKVTHZ8DZMZ1VYY6","01M6NSDKW8DDVTQHBT1HBDDJPT",0,"MIT","https:\u002F\u002Fgithub.com\u002Fduc-duy-1612\u002FOnline-Delivery-Systems-Web\u002Fblob\u002Fmain\u002F.agents\u002Fskills_archive\u002Fecl-harness-engineer\u002FSKILL.md",[17],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42],"ecl harness engineer","ecl","engineer","harness","ci","change tracking","gates","main","community","agent-harness","agent harness","gemini","license","lint","create","development","change","workflow","codex","antigravity","2026-11-10 10:12:30",false,"---\nname: ecl-harness-engineer\ndescription: \"Create or audit ECL Agent Harness infrastructure: AGENTS.md, change tracking, repository guidance, lint checks, CI gates, and agent handoff docs.\"\ncategory: development\nrisk: safe\nsource: community\nsource_repo: qinghui316\u002Fecl-harness-engineer\nsource_type: community\ndate_added: \"2026-06-13\"\nauthor: qinghui316\ntags: [codex, agent-harness, ecl, workflow, ci]\ntools: [codex, claude, cursor, gemini, antigravity]\nlicense: MIT\nlicense_source: \"https:\u002F\u002Fgithub.com\u002Fqinghui316\u002Fecl-harness-engineer\u002Fblob\u002Fmain\u002FLICENSE\"\n---\n\n# ECL Harness Engineer\nDesign and create Harness Engineering infrastructure so AI agents can work reliably in a codebase.\n\n> **Core Philosophy**: \"Intelligence without infrastructure is just a demo.\" The Agent Harness is the Operating System — the LLM is just the CPU. The repository becomes the single source of truth — if an agent can't see it in context, it doesn't exist.\n\n## Detailed Guide\n\nRead [the detailed guide](references\u002Fdetailed-guide.md) before executing this skill. It retains the complete procedure and reference material. Treat its safety, prerequisites, and validation requirements as mandatory. For focused work, load the relevant sections; for end-to-end work, read the guide completely.\n\n## When to Use This Skill\n\n- Use when a repository needs AI-agent collaboration infrastructure such as `AGENTS.md`, `docs\u002FECL.md`, `docs\u002FSTATUS.md`, harness change tracking, or mechanical validation gates.\n- Use when auditing an existing Agent Harness for missing ECL lifecycle docs, change templates, lint checks, environment contracts, or CI integration.\n- Use when converting repeated agent workflow failures into repository-local documentation, tests, lint rules, or lightweight auto-evolution checks.\n- Do not use for ordinary business feature implementation unless the requested work is specifically about creating or improving the repository harness.\n\n## Limitations\n\n- This skill creates or audits harness infrastructure; it does not replace product requirements, implementation planning, code review, or release approval for the target project.\n- The generated ECL docs, linters, scripts, and CI examples must be adapted to the repository's actual stack, security model, and existing contributor workflow before enforcement.\n- Auto-evolve recommendations are guidance only. 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