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执行交付前 5 项复盘检查,确保流程合规和质量达标。Use when about to deliver work to users, before final handoff, or when completing a development cycle.

Skill by duoglas

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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.

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执行交付前 5 项复盘检查,确保流程合规和质量达标。Use when about to deliver work to users, before final handoff, or when completing a development cycle.

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What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.

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  • codeload.github.com · found in install command

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  • ~/.claude/skills/auto-harness-review

What's inside

Skill name
auto-harness-review
Description
执行交付前 5 项复盘检查,确保流程合规和质量达标。Use when about to deliver work to users, before final handoff, or when completing a development cycle.
License
MIT
Instructions
90 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Harness Review

交付前 5 项复盘——确保流程完整、质量达标、规则沉淀。

## 何时使用

- 即将交付工作成果
- 完成一轮开发循环
- 创建 PR 前
- 用户说"复盘"或"交付检查"

## 5 项复盘检查

### 1. 流程合规

- 是否按 6 阶段 Loop 执行?(Plan → Setup → Execute → Verify → Review → Feedback)
- 是否有跳过的阶段?如果有,原因是什么?
- 是否有绕过 Gate 条件的情况?

### 2. QA 达标

- Layer 2 Verification Loop 是否执行?报告是否完整?
- 构建成功?类型检查通过?Lint 通过?测试通过?覆盖率达标?
- spec status 是否检查了 tasks 和 irreversible_actions?
- gate/hook 改动是否有正例、负例和旧路径兼容用例?
- Layer 3 Spec Review 是否执行(如果适用)?
- Layer 4 Santa Method 是否执行(如果是高风险)?

### 3. 需求完整

- 逐项对照原始需求:每个需求点是否都有对应的实现?
- 是否有部分完成或推迟的需求?如果有,是否已记录?

### 4. 规则升级

- 开发过程中是否发现新问题?
- 新问题是否已通过 F3-F4 提炼为规则并写入 constraints.md?
- Violation History 是否更新?

### 5. 改进机会

- 哪些步骤耗时最长?有没有自动化的空间?
- 哪些 Agent 派发效果不好?prompt 需要怎么改进?
- Hook 有没有漏拦或误拦的情况?
- QA 流程有没有改进空间?

### 6. 行为学习分析(自动)

REVIEW 阶段自动运行 `harness-learn.js` 分析本轮积累的 observations,输出:
- 发现了哪些行为模式(工具序列、高频文件)
- 有没有 instinct 可以提炼为 Rule(Token 优化)
- 高频修改但缺少测试的文件

**这一步不需要用户触发——REVIEW 阶段自动执行。**

## 输出格式

```
DELIVERY REVIEW
===============

1. 流程合规:    [✓/✗] {备注}
2. QA 达标:     [✓/✗] {备注}
3. 需求完整:    [✓/✗] {备注}
4. 规则升级:    [✓/✗] {备注}
5. 改进机会:    {列出 1-3 个改进点}
6. 行为学习:    {N} 个模式 | {N} 个 instinct 更新 | Token 优化建议: {有/无}

结论: [可以交付 / 需要补充工作]
```

## 与 Hooks 配合

`delivery-review.js` Hook 会在打开交付物时自动触发复盘提醒。本 Skill 提供完整的复盘流程。

## AI 工具内测试准出协议

只要任务涉及代码变更,AI 不能等用户提醒才验证。按下面顺序做:

1. 先判断风险等级:low / medium / high / release,并确认不可逆动作没有在缺少人确认时执行。
E2E PASS 不等于充分;如果只是 echo ok、空脚本、只 smoke、或没覆盖本次风险,用户报告要先说“现在还不能交付”,再说明测到了什么、没测到什么、下一步补什么;机器状态放最后,例如:机器状态:NOT_SUFFICIENT。DEGRADED 不能说成 PASS。
2. 识别测试能力:单测、lint、coverage、E2E、runtime smoke。
3. medium / high / release 任务必须有 E2E 证据;只有 low 小改可以不强制 E2E;找不到 E2E 入口时,先生成计划或只问一个具体启动问题。
4. VERIFY 阶段必须产出 fresh evidence;没有 READY evidence 不能说“完成了”。
5. 测试失败时进入修复 loop:一轮只修一个失败点,重跑最小测试,最多 3 轮;没进展就停下来说明卡点。
6. 报告必须说人话:先说现在能不能交付,再说测到了什么、没测到什么、下一步补什么;不能只贴日志,也不要用 READY/NOT_READY/NOT_SUFFICIENT 开头。机器状态如果必须出现,放最后。不能把 DEGRADED 说成 PASS。

AI 可以调用 `shk quality status --format json`、`shk e2e plan --format json`、`shk e2e run --format json`、`shk loop state --format json` 作为测试准出后端检查器,但不要把这些命令丢给用户自己记。

From duoglas/simple-harness-kit, MIT.

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Last commit (this folder)
Jun 16, 2026 (4 months ago)
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Oct 9, 2026 (25 days ago)

From GitHub (fetched Oct 24, 2026).

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License
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First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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auto-harness-review skill. Agent Mart. https://agentmart.dev/skills/duoglas-auto-harness-review (last updated 2026-10-24)