OpenMOSS is an operating system for teams of AI agents: it organizes agents into roles that plan, execute, review, and monitor work autonomously. It is for running recurring, multi-step tasks with little or no human coordination. The catalogue skills and agents extend the team’s abilities and workflows.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add uluckyXH/OpenMOSS --skill task-patrol-skillgit clone --depth 1 https://github.com/uluckyXH/OpenMOSSWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/uluckyxh/openmoss/task-patrol-skill)<a href="https://agentmods.dev/skills/uluckyxh/openmoss/task-patrol-skill"><img src="https://agentmods.dev/badge/skills/uluckyxh/openmoss/task-patrol-skill.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00027 | $0.00783 |
| Opus 5 | $0.00014 | $0.00392 |
| Sonnet 5 | $0.00005 | $0.00157 |
| Haiku 4.5 | $0.00003 | $0.00078 |
Grade A, and why
task-patrol-skill scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
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
- 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
rules # 获取合并后的规则提示词(执行前必须调用)
任务巡查
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
st block <sub_task_id> # 标记子任务异常(in_progress/assigned/rework → blocked)
Agent 查看
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
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
notification # 查看通知渠道配置
日志
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
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 90 lines · 27 tokens per session scan A a4d053604cd7
task-patrol-skill is a skill published in the GitHub repository uluckyXH/OpenMOSS (1,321 stars, last pushed 2mo ago), licensed MIT. It adds 27 tokens to every session and 783 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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