auto-harness-learn
分析 session 观察数据，提取行为模式生成 instinct，给出改进建议和 Token 优化提议。Use when user says "分析学习数据"、"看看有什么模式"、"harness learn"。
Skill by duoglas
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/duoglas-auto-harness-learn
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/auto-harness-learn
What's inside
- Skill name
auto-harness-learn- Description
- 分析 session 观察数据，提取行为模式生成 instinct，给出改进建议和 Token 优化提议。Use when user says "分析学习数据"、"看看有什么模式"、"harness learn"。
- License
- MIT
- Instructions
- 58 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Harness Learn
从 `.harness/observations.jsonl` 分析行为模式，生成 instinct（原子化行为片段），给出改进和 Token 优化建议。
## 何时使用
- **自动触发**：每轮 Loop 的 REVIEW 阶段，harness-review 自动调用
- 手动触发：用户说"看看学到了什么"、"分析一下"
- 想知道哪些文件是高风险的（高频修改但可能没测试）
## 前置条件
- session-logger Hook 已启用（`HARNESS_LOG` 和 `HARNESS_LEARN` 都不是 `off`）
- `.harness/observations.jsonl` 存在且有数据（建议 20+ 条）
## 执行
```bash
node scripts/hooks/harness-learn.js --report
```
## 分析维度
1. **工具序列模式** — 相同 3 步序列出现 3+ 次（如 Grep→Read→Edit）
2. **高频工具对** — A 之后总是跟 B（如 Edit→Bash）
3. **高频修改文件** — 经常被编辑的文件 = 高风险，可能需要测试覆盖
4. **Token 优化** — 稳定 instinct（置信度 ≥0.9）建议提炼为 Rule
## 输出
- `.harness/instincts/*.json` — 生成的 instinct 文件
- `.harness/learn-report.md` — 分析报告（展示给用户）
## Instinct 生命周期
```
observation 积累
↓ harness-learn 分析
instinct (置信度 0.3)
↓ 多次观察确认
instinct (置信度 0.9)
↓ --promote 建议
Rule (.claude/rules/) ← 零 token 消耗
↓ 如果可强制
Hook (脚本) ← 100% 可靠
```
## 与 ECC continuous-learning-v2 的区别
| 维度 | ECC | 我们 |
|------|-----|------|
| Hook 开销 | 重（Bash 414行 + Python ×3-4 fork） | 轻（Node.js 单进程，<50ms） |
| 分析方式 | 后台 Agent 调 Haiku（消耗 API） | 纯本地规则匹配（零 API 调用） |
| 触发方式 | 自动后台轮询 | 按需手动（`/harness-learn`） |
| 后台进程 | nohup + PID + flock | 无 |
| Instinct 粒度 | 用户全局 ↔ 项目级 | 用户级（团队多人相同才提议晋升项目级） |From duoglas/simple-harness-kit, MIT.
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Signals
- Stars
- 39
- Forks
- 3
- Open issues
- 0
- Last commit (this folder)
- Apr 3, 2026 (7 months ago)
- Last release
- Oct 9, 2026 (26 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/duoglas/simple-harness-kit
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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auto-harness-learn skill. Agent Mart. https://agentmart.dev/skills/duoglas-auto-harness-learn (last updated 2026-10-24)