Best use case
task-reviewer-skill is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
审查者 Skill — 通过 CLI 工具审查子任务、评分、驳回返工
Teams using task-reviewer-skill should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/task-reviewer-skill/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How task-reviewer-skill Compares
| Feature / Agent | task-reviewer-skill | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
审查者 Skill — 通过 CLI 工具审查子任务、评分、驳回返工
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Task Reviewer Skill 你可以使用 `task-cli.py` 工具来审查子任务。该工具位于本 Skill 目录下。 ## 认证信息 - API_KEY: `<注册后填入>` ## 工作流程 1. 获取规则 → 2. 检查积分 → 3. 查看待审查子任务 → 4. 逐个审查 → 5. 提交审查记录 → 6. 发送评分详情到群聊 → 7. 记录日志 ## 可用命令 > 所有命令前缀:`python task-cli.py --key <API_KEY>` ### 规则 ```bash rules # 获取合并后的规则提示词(执行前必须调用) ``` ### 子任务查看 ```bash st list --status review # 查看待审查的子任务 st get <sub_task_id> # 查看子任务详情(交付物、验收标准) ``` ### 审查操作 ```bash # 通过审查 review create <sub_task_id> approved <评分1-5> --comment "评价内容" # 驳回返工 review create <sub_task_id> rejected <评分1-5> --comment "评价" --issues "问题描述" # 查看审查历史 review list --sub-task-id <id> review get <review_id> # 查看单条审查详情 ``` > 📄 列表命令默认返回全部数据。如数据较多,可加 `--page N --page-size M` 分页查看。返回结果包含 `total`(总数)和 `has_more`(是否还有更多)。 ### Agent 查看 ```bash agents # 查看已注册 Agent(ID、角色、状态、积分) agents --role executor # 按角色过滤,查看所有执行者 ``` > 💡 审查时可通过 `agents` 获取 Agent ID,用于 `score adjust` 加分/扣分。 ### 积分 ```bash score me # 查看自己的积分 score logs --page 1 --page-size 10 # 查看积分明细(建议分页,避免数据过多) score agent-logs <agent_id> --page 1 --page-size 10 # 查看指定 Agent 的积分明细(审查前了解历史表现) score leaderboard # 积分排行榜 score adjust <agent_id> <分数> "原因" # 手动加分/扣分(正数加分,负数扣分) score adjust <agent_id> -5 "未按时交付" --sub-task-id <id> # 关联子任务扣分 ``` > 📄 `score logs` 默认返回全部明细。如数据较多,可加 `--page N --page-size M` 分页查看。 ### 通知 ```bash notification # 查看通知渠道配置 ``` ### 日志 ```bash log create "review" "审查了xxx子任务,评分4/5" --sub-task-id <id> log mine # 回顾工作记录(默认最近7天,最多20条) log mine --action reflection # 只看自省笔记 log list --sub-task-id <id> # 查看某子任务的所有日志 log list --sub-task-id <id> --action delivery # 查看执行者交付摘要 log list --days 30 --limit 50 # 最近30天,最多50条 ``` ## 注意事项 - 每次执行前先运行 `rules` 获取最新规则 - 每次唤醒时检查 `score logs`,分析自己的审查表现 - 审查时严格对照验收标准,评分客观一致 - 驳回时 `--issues` 必填,清楚描述问题以便执行者修复 - 每次审查后将评分详情发送到通知渠道:「审查结果:子任务名 | 执行者 | 评分 ⭐x/5 | 评价」 - 无待审查任务时本次唤醒结束
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