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yuchangxu1989-openclaw\n\nSummary: Self-Evolving Harness — 聚焦增强 OpenClaw 的自主性与可控性。从领域意图理解、自主知识沉淀到自主评测与本地 Agent 架构的端到端自主进化，拒绝在 Skill 层面无序熵增。搭配自动化软件研发流水线；反脆弱，即便记忆丢失，Agent 依然有序运行和进化。\n\nTags: latest:0.0.3\n\nVersion history:\n\nv0.0.3 | 2026-04-19T10:07:54.141Z | user\n\n更新描述至最新项目定位\n\nv0.0.2 | 2026-04-19T04:13:03.724Z | user\n\n补充产品定位描述\n\nv0.0.1 | 2026-04-19T04:10:08.478Z | auto\n\nInitial release of Self-Evolving Harness.\n\n- Introduced a self-evolving AI Agent framework focused on controllability and autonomous improvement.\n- Defined three core modules: KIVO (cognitive infrastructure), R&D Pipeline (execution infrastructure), and AEO (Agent effect operations).\n- Documentation placeholders provided for future development.\n\nArchive index:\n\nArchive v0.0.3: 3 files, 1636 bytes\n\nFiles: skill-card.md (1596b), SKILL.md (406b), _meta.json (140b)\n\nFile v0.0.3:SKILL.md\n\n---\nname: self-evolving-harness\ndescription: >-\n  Self-Evolving Harness — 聚焦增强 OpenClaw 的自主性与可控性。从领域意图理解、自主知识沉淀到自主评测与本地 Agent 架构的端到端自主进化，拒绝在 Skill 层面无序熵增。搭配自动化软件研发流水线；反脆弱，即便记忆丢失，Agent 依然有序运行和进化。\n---\n\n# Self-Evolving Harness\n\nFile v0.0.3:_meta.json\n\n{\n  \"ownerId\": \"kn71kk78dbbgtentzcetv7d1zn8536vd\",\n  \"slug\": \"self-evolving-harness\",\n  \"version\": \"0.0.3\",\n  \"publishedAt\": 1776593274141\n}\n\nFile v0.0.3:skill-card.md\n\n## Description:\n\nSelf-Evolving Harness focuses on improving OpenClaw autonomy and control through domain intent understanding, autonomous knowledge retention, autonomous evaluation, and local agent architecture evolution.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[yuchangxu1989-openclaw](https://clawhub.ai/user/yuchangxu1989-openclaw)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nDevelopers and engineers use this skill to guide OpenClaw-oriented work on autonomous agent evolution, controlled knowledge retention, self-evaluation, and local agent architecture practices.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: The submitted artifact is a very minimal skill description, so runtime behavior, language support, and operational boundaries are underspecified.\n\nMitigation: Review the intended use and add clearer runtime behavior, supported language, and evaluation guidance before relying on it as a complete harness.\n\n## Reference(s):\n\n\n## Skill Output:\n\n**Output Type(s):** [Text, Markdown, Guidance]\n\n**Output Format:** [Markdown or plain text guidance]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [No executable output is defined by the submitted artifact.]\n\n## Skill Version(s):\n\n0.0.3 (source: server release evidence)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.\n\nArchive v0.0.2: 2 files, 917 bytes\n\nFiles: SKILL.md (967b), _meta.json (140b)\n\nFile v0.0.2:SKILL.md\n\n---\nname: self-evolving-harness\ndescription: Self-Evolving Harness — 聚焦增强 OpenClaw 的自主性与可控性。从领域意图理解、自主知识沉淀到自主评测与本地 Agent 架构的端到端自主进化，拒绝在 Skill 层面无序熵增。\nversion: 0.0.2\n---\n\n# Self-Evolving Harness\n\n聚焦增强 OpenClaw 的自主性与可控性。从领域意图理解、自主知识沉淀到自主评测与本地 Agent 架构的端到端自主进化，拒绝在 Skill 层面无序熵增。\n\n**Agent = 大模型 + Harness**\n\nHarness 是大模型之外的一切，目的是解决大模型的可控性与自主进化力缺陷，让 Agent 体验更好。\n\n## 三大模块\n\n- **KIVO** — 认知基础设施（知识、意图、规则、项目、进化）\n- **研发流水线** — 执行基础设施（spec → implement → review → deploy → verify）\n- **AEO** — Agent 效果运营（度量、归因、质量趋势、成本优化）\n\n> 🚧 开发中\n\nFile v0.0.2:_meta.json\n\n{\n  \"ownerId\": \"kn71kk78dbbgtentzcetv7d1zn8536vd\",\n  \"slug\": \"self-evolving-harness\",\n  \"version\": \"0.0.2\",\n  \"publishedAt\": 1776571983724\n}\n\nArchive v0.0.1: 2 files, 801 bytes\n\nFiles: SKILL.md (614b), _meta.json (140b)\n\nFile v0.0.1:SKILL.md\n\n---\nname: self-evolving-harness\ndescription: Self-Evolving Harness — 自进化的 AI Agent 工作框架。解决大模型的可控性与自主进化力缺陷，让 Agent 体验更好。Agent = LLM + Harness。\nversion: 0.0.1\n---\n\n# Self-Evolving Harness\n\n自进化的 AI Agent 工作框架。\n\n包含三大模块：\n- KIVO — 认知基础设施（知识、意图、规则、项目、进化）\n- 研发流水线 — 执行基础设施（spec → implement → review → deploy → verify）\n- AEO — Agent 效果运营（度量、归因、质量趋势、成本优化）\n\n> 占位中，正式版本开发中。\n\nFile v0.0.1:_meta.json\n\n{\n  \"ownerId\": \"kn71kk78dbbgtentzcetv7d1zn8536vd\",\n  \"slug\": \"self-evolving-harness\",\n  \"version\": \"0.0.1\",\n  \"publishedAt\": 1776571808478\n}","readmeExcerpt":"Skill: Self-Evolving Harness Owner: yuchangxu1989-openclaw Summary: Self-Evolving Harness — 聚焦增强 OpenClaw 的自主性与可控性。从领域意图理解、自主知识沉淀到自主评测与本地 Agent 架构的端到端自主进化，拒绝在 Skill 层面无序熵增。搭配自动化软件研发流水线；反脆弱，即便记忆丢失，Agent 依然有序运行和进化。 Tags: latest:0.0.3 Version history: v0.0.3 | 2026-04-19T10:07:54.141Z | user 更新描述至最新项目定位 v0.0.2 | 2026-04-19T04:13:03.724Z | user 补充产品定位描述 v0.0.1 | 2026-04-19T04:10:08.478Z | auto Initial release of Self-Evo","codeSnippets":[],"executableExamples":[],"parameters":null,"dependencies":[],"permissions":[],"extractedFiles":[{"path":"SKILL.md","content":"---\nname: self-evolving-harness\ndescription: >-\n  Self-Evolving Harness — 聚焦增强 OpenClaw 的自主性与可控性。从领域意图理解、自主知识沉淀到自主评测与本地 Agent 架构的端到端自主进化，拒绝在 Skill 层面无序熵增。搭配自动化软件研发流水线；反脆弱，即便记忆丢失，Agent 依然有序运行和进化。\n---\n\n# Self-Evolving Harness"},{"path":"_meta.json","content":"{\n  \"ownerId\": \"kn71kk78dbbgtentzcetv7d1zn8536vd\",\n  \"slug\": \"self-evolving-harness\",\n  \"version\": \"0.0.3\",\n  \"publishedAt\": 1776593274141\n}"},{"path":"skill-card.md","content":"## Description:\n\nSelf-Evolving Harness focuses on improving OpenClaw autonomy and control through domain intent understanding, autonomous knowledge retention, autonomous evaluation, and local agent architecture evolution.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[yuchangxu1989-openclaw](https://clawhub.ai/user/yuchangxu1989-openclaw)\n\n### 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