task-patrol-skill

巡查 Skill — 通过 CLI 工具巡查任务状态、标记异常、发送告警

1,061 stars

Best use case

task-patrol-skill is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

巡查 Skill — 通过 CLI 工具巡查任务状态、标记异常、发送告警

Teams using task-patrol-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

$curl -o ~/.claude/skills/task-patrol-skill/SKILL.md --create-dirs "https://raw.githubusercontent.com/uluckyXH/OpenMOSS/main/skills/task-patrol-skill/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/task-patrol-skill/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How task-patrol-skill Compares

Feature / Agenttask-patrol-skillStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

巡查 Skill — 通过 CLI 工具巡查任务状态、标记异常、发送告警

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.

Related Guides

SKILL.md Source

# Task Patrol Skill

你可以使用 `task-cli.py` 工具来巡查任务状态。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. 扫描异常任务 → 4. 标记 blocked → 5. 发送告警 → 6. 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)
```

### 任务巡查

```bash
task list                                 # 查看所有任务
st list --status in_progress              # 查看执行中的子任务(检查是否超时/卡住)
st list --status assigned                 # 查看已分配但未开始的(检查是否长期未启动)
st list --status blocked                  # 查看已标记异常的
st get <sub_task_id>                      # 查看子任务详情
```

> 📄 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)。

### 异常标记

```bash
st block <sub_task_id>                    # 标记子任务异常(in_progress/assigned/rework → blocked)
```

### 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
```

> 💡 巡查时可通过 `agents` 了解各 Agent 状态,便于在告警中标注相关责任人。

### 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(排查连续扣分趋势)
score leaderboard                         # 积分排行榜
```

> 📄 `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 "patrol" "巡查发现xxx子任务超时,已标记blocked" --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 --action blocked --days 3        # 扫描执行者求助日志
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`,分析自己的表现
- 重点巡查:超时未完成、长期未启动、会话断开的子任务
- 标记 blocked 后需发送告警到通知渠道
- 不要直接修改子任务的内容或状态(除 block 外),交给规划师处理

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