seed-forge/harness-ai-kit

Package manager for AI agent assets — 42 skills, 5 CLIs, 1 plugin. Skills for AI/LLM agent engineering, eval-driven dev, spec-driven dev, database (MySQL/PG/Redis/Kafka/Mongo/Oracle/NL2SQL), K8s/Docker diagnostics, infra ops (Dify/Nexus/Harbor/SonarQube) & docs/patent. Runtimes: Codex, Claude Code, Cursor, Kiro, DSH.

项目介绍Project Overview

harness-ai-kit 是 AI 代理资产的包管理器,统一安装、锁定并治理跨 Codex、Claude Code、Cursor、Kiro 的技能、CLI、MCP 与循环,附带企业级 AI-ops 技能库。核心是基于 manifest 与 lockfile 的组合式管理,能复用并编排现有社区资产。适合需要跨运行时一致治理 AI 资产、避免环境漂移的团队。需注意当前仍为 v0.1,循环框架与注册中心尚未发布。

harness-ai-kit is a package manager for AI agent assets that installs, locks, and governs skills, CLIs, MCPs, and loops across Codex, Claude Code, Cursor, and Kiro, bundling an enterprise AI-ops skill library. Its core capability is composition-first asset orchestration via a versioned manifest and SHA-256 lockfile, reusing existing community tools rather than replacing them. Use it when teams need consistent, auditable AI-asset governance across multiple runtimes. Caveat: the project is at v0.1, so loop automation and the public registry are not yet released.

或使用命令行安装(适合开发者)Or use CLI install (for developers)

命令行安装CLI Install

dsh plugin --profile web add github:seed-forge/harness-ai-kit

seed-forge/harness-ai-kit 加入你的 DSH 配置(web profile)即可启用。

READMEREADME

harness-ai-kit

Package manager for AI agent assets (skills / CLIs / MCPs / plugins / loops).

Install skills from any GitHub repository into Codex, Claude Code, Cursor, Kiro or DeepSeek Harness (dsh) with dependency resolution, lockfiles, checksums and rollback.

First-class dsh runtime

  • harness-ai-kit install skill <id> --runtime dsh --scope project installs into .agents/skills (dsh rank 200 native scan, zero config).
  • harness-ai-kit install skill <id> --runtime dsh --scope global installs into ~/.agents/skills (dsh rank 500 native scan).
  • harness-ai-kit doctor dsh checks the dsh baseline (@deepseek-ai/dsh@0.1.0-rc.6, pnpm >=10, DSH_HOME, profile dirs).
  • harness-ai-kit install plugin harness-ai-kit-plugin --profile web installs the bundled dsh plugin (session tools + virtual skill provider; zero workspace bloat).

See docs/dsh-integration.md for the full integration model.

Deterministic test boundary

Asset authoring and test policy is bundled in docs/asset-authoring-contract.md. Unit and combination tests are offline and use temporary fixtures/mocked transports. Real registry, Nexus, TLS, credential and role-bound publishing checks belong to an explicit integration run:

$env:HARNESS_AI_KIT_INTEGRATION = "1"
python -m pytest -q --run-integration -m integration

The default test command must remain reproducible without external services:

python -m pytest -q
pip install --upgrade harness-ai-kit==0.18.2
harness-ai-kit init
harness-ai-kit add skill https://github.com/OWNER/REPO/tree/main/path/to/skill
harness-ai-kit sync
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