Agent Cron Audit
/install agent-cron-audit
Features
- 🩺 Cron Health Audit: Inspects recurring / scheduled AI agent jobs for silent failures, duplicate active jobs, retry loops, over-frequent schedules, stale automations, risky model usage, and context bloat.
- 🔇 Silent Failure Detection: Flags jobs that complete "successfully" but produce no useful output, no downstream action, repeated empty replies, or stuck retries.
- ♻️ Duplicate / Retry Loop Detection: Identifies multiple active schedules that run the same effective task, and jobs whose failure count keeps rising despite restarts.
- ⏱️ Schedule Hygiene: Calls out schedules that are too frequent, too aggressive for the model, or that re-run before the previous run's downstream work has settled.
- 🧱 Context Bloat Signal: Flags recurring runs that drag in oversized context, old conversation history, or full private logs into every loop.
- 🧾 Evidence-First Output: For every finding, shows what was checked, the signal, and a confidence label (High / Medium / Low) before any next step.
- 🛠 Manual Verification Prompt: Produces a copy-paste prompt for the user's agent so the human can verify findings safely.
- 🔒 Read-Only Safety: Does not edit, disable, delete, restart, enable, upload, or auto-fix any job.
Install
For shared OpenClaw agents, install into the global managed skills directory:
openclaw skills install agent-cron-audit --global
To upgrade an existing shared install:
openclaw skills install agent-cron-audit --global --force
Then test with:
audit agent cron jobs
Activation
Primary activation phrase:
audit agent cron jobs
Also activate for:
check recurring agent jobscheck scheduled agent jobsfind silent failures in agent croncheck stale automationscheck duplicate active agent jobscheck retry loops
Do not activate this skill for:
- general OpenClaw setup
- provider / API key debugging
- normal one-off job execution
- pricing-only questions
- dashboard / report / export requests
- automatic fix or job disabling requests
What This Skill Audits
This skill is the entry point for recurring / scheduled AI agent job health.
It looks at the schedule, run history, model choice, and output of recurring jobs, then groups findings by risk:
- Silent failures — job finishes without error but produces no useful downstream work
- Duplicate active jobs — two or more schedules effectively run the same task
- Retry loops — repeated failures, restarts, or fallback chains with no recovery
- Over-frequent schedules — interval shorter than the task or downstream consumer can absorb
- Stale automations — schedule still active but upstream signal, target, or recipient no longer valid
- Risky model usage — a model that is too strong, too weak, or too context-heavy for the recurring task
- Context bloat — recurring runs that repeatedly pull in oversized context, old history, or full private logs
The output is evidence, not an action. This skill does not change any job.
What You Will Get
Every audit returns six sections, in this order:
1. Fix First
The single most likely health risk in the current cron set, with:
- Job
- Why it looks risky
- Evidence
- Confidence: High / Medium / Low
- Recommended next step (always manual verification first)
2. Top Cron Health Findings
Up to 5 ranked findings. For each:
- Job
- Health signal
- Evidence
- Why it matters
- Confidence: High / Medium / Low
3. Evidence
Raw observations the audit relied on, with secrets, IDs, and private payloads already redacted as \x3Credacted>.
4. Manual Verification Prompt
A copy-paste prompt the user can hand to their own agent to verify a finding safely:
Read only. Inspect recurring/scheduled AI agent jobs for silent failures,
duplicate active jobs, retry loops, over-frequent schedules, stale
automations, risky model usage, and context bloat. Do not edit, disable,
restart, delete, or change any job. Do not upload logs. Redact secrets and
IDs. Return top findings with evidence, likely cause, manual verification
steps, and recommended human priority.
5. What Not To Do Yet
A short list of actions the skill deliberately does not recommend at this stage, for example: do not disable a job, do not change a schedule, do not switch the model, do not delete run history.
6. Related Skill, If Relevant
If the main issue is recurring token waste rather than general cron health:
Try: openclaw skills install waste-audit --global
If the main issue is routing / model / cost change risk rather than general cron health:
Try: openclaw skills install agent-cost-eval-kit --global
These are pointers, not a funnel. Pick the one that matches the actual problem.
Safety
- 🔒 Read-only first. Never edit, disable, delete, restart, or auto-fix a job as the first recommendation.
- 🚫 No auto-apply. Always surface evidence and let the owner decide.
- ✏️ Edit as last resort. Changing a job schedule, prompt, or config should only be suggested after manual verification confirms the finding.
- 🔑 No secrets exposed. Never show raw tokens, API keys, bot tokens, Telegram chat IDs, private server paths, or raw private payloads in examples or evidence.
- 📋 Redact before sharing. Use
\x3Credacted>,\x3Credacted-id>, or similar placeholders for anything that could identify a private resource. - 🌐 Local-first. All inspection happens locally. This skill does not upload logs, call external LLMs, or send telemetry.
- ❓ No precise savings claim. This skill does not promise exact cost reduction, percentage savings, or dollar amounts. It surfaces health risk, not a bill.
Out Of Scope
This skill will not:
- Calculate exact provider billing or dollar savings
- Treat token count as exact dollar cost
- Edit configs, switch models, disable jobs, delete cron tasks, or restart agents
- Require API keys, private keys, secrets, credentials, or full private logs
- Make network calls or call external LLMs
- Provide a dashboard, report, export, or backend service
- Replace
waste-audit(token waste) oragent-cost-eval-kit(cost change triage)
When To Pick A Different Skill
| Main problem | Use this skill |
|---|---|
| Recurring token waste on a known job | waste-audit |
| Suspected cost / model / routing change after a deployment | agent-cost-eval-kit |
| General cron health of recurring agent jobs (this card) | agent-cron-audit |
| One-off job execution, provider setup, API key debugging | (not this skill) |
Feedback / Free Second Look
If agent-cron-audit flags a finding and you are not sure whether it is real, you can DM me on X: @BeeGeeEth.
When you do, send only the redacted "Top Cron Health Findings" and "Evidence" sections. Do not include secrets, API keys, private logs, wallet data, full config files, or production credentials.
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install agent-cron-audit - 安装完成后,直接呼叫该 Skill 的名称或使用
/agent-cron-audit触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
Agent Cron Audit 是什么?
Read-only health audit for recurring / scheduled AI agent jobs. Finds silent failures, duplicate active jobs, retry loops, over-frequent schedules, stale aut... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 36 次。
如何安装 Agent Cron Audit?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install agent-cron-audit」即可一键安装,无需额外配置。
Agent Cron Audit 是免费的吗?
是的,Agent Cron Audit 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Agent Cron Audit 支持哪些平台?
Agent Cron Audit 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Agent Cron Audit?
由 choosenobody(@choosenobody)开发并维护,当前版本 v0.1.0。