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loop-diagnosis循环诊断

Agent Skill

loop-diagnosis 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

734

周安装

30

GitHub Stars

55

下载量

238
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:loop-diagnosis(循环诊断)
来源仓库:https://github.com/joelhooks/joelclaw
仓库路径:skills/loop-diagnosis
安装命令:
npx skills add https://github.com/joelhooks/joelclaw --skill loop-diagnosis
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/joelhooks/joelclaw --skill loop-diagnosis

简介

用于处理 GitHub 仓库及协作信息,适合在开发流程中跟踪代码变更和 Issue。

  • 支持 Pull Request 管理和仓库状态查询,提升团队协作效率。
  • 通过 GitHub 安装,需确认权限范围和维护状态后再使用。
  • 可能触发联网、命令执行或文件读写操作,建议提前评估风险。
  • loop-diagnosis 属于开发类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Loop Diagnosis

Diagnose and fix stalled agent coding loops. This skill covers the diagnostic CLI, common failure modes, and the observability patterns that prevent silent stalls.

Quick Commands

# Diagnose all active loops at once
joelclaw loop diagnose all -c

# Diagnose a specific loop
joelclaw loop diagnose <loop-id> -c

# Diagnose AND auto-fix
joelclaw loop diagnose all -c --fix

# Full JSON output (for detailed inspection)
joelclaw loop diagnose <loop-id>

What Diagnosis Checks

The diagnose command runs 6 checks in order:

  1. Redis state — PRD stories (pass/skip/pending), progress entries, active claims
  2. Worktree — exists? commits? uncommitted changes?.out files?
  3. Inngest runs — running/failed agent-loop-* functions, recent plan runs
  4. Agent processes — any claude/codex processes still alive?
  5. Worker health — function_count from localhost:3111/api/inngest
  6. Diagnosis — pattern-matches the above into a root cause

Failure Modes & Fixes

DiagnosisRoot CauseAuto-Fix
CHAIN_BROKENJudge sent story.passed but plan never received it. Event lost in transit.Re-fires agent/loop.story.passed → plan picks next story
ORPHANED_CLAIMStory claimed by an event, but agent died and no Inngest run is active.Clears claim + re-fires plan event
STUCK_RUNInngest run marked RUNNING but agent process is dead. Run won't complete.Clears claims + re-fires (manual run cancellation may be needed in Inngest dashboard)
WORKER_UNHEALTHYWorker registering fewer functions than expected. Missing imports or crash loop.Restarts system-bus-worker deployment in k8s
NO_PRDLoop has no PRD in Redis — was nuked or never created.None — start a new loop
COMPLETEAll stories passed or skipped. Nothing to do.None — run joelclaw loop nuke dead to clean up

When to Use (vs Other Skills)

  • loop-diagnosis → Loop is stuck/stalled, need to figure out why and fix it
  • loop-nanny → Loop is running, need to monitor progress and clean up after
  • agent-loop → Need to START a new loop

The Event Chain

Understanding the chain helps diagnose WHERE it broke:

agent/loop.started
  → plan (picks story, dispatches test-writer)
    → agent/loop.story.dispatched
      → test-writer (writes acceptance tests)
        → agent/loop.tests.written
          → implement (codex/claude writes code)
            → agent/loop.story.implemented
              → review (runs tests, typecheck, claude review)
                → agent/loop.story.reviewed
                  → judge (pass/fail/retry decision)
                    → agent/loop.story.passed  ←── feeds back to plan
                    → agent/loop.story.failed  ←── feeds back to plan
                    → agent/loop.story.retry   ←── feeds back to implement

Most common break point: judge → plan. The agent/loop.story.passed event fires but plan never picks it up. This happens when:

  • Inngest is restarting during the event
  • Worker was restarted between judge and plan
  • k8s pod restart dropped the event

Observability Patterns

Passive: Failure Events

Every loop function should emit failure events via onFailure handlers (being added by harden loop). These fire agent/loop.function.failed which gets logged to slog.

Active: Watchdog (Future)

A periodic Inngest function (system/loop-watchdog) that:

  1. Scans all loops in Redis with pending stories
  2. Checks if any events were emitted in the last 10 minutes
  3. If not → auto-runs diagnose + fix
  4. Logs to slog + daily log

Manual: The Diagnostic Session

When an agent needs to debug loops manually, follow this sequence:

# 1. Quick overview
joelclaw loop diagnose all -c

# 2. If fix needed
joelclaw loop diagnose all -c --fix

# 3. Verify fix worked (wait ~30s for plan to fire)
joelclaw loop status <loop-id> -c

# 4. If still stuck, check worker
curl -s localhost:3111/api/inngest | python3 -c "import json,sys; print(json.load(sys.stdin)['function_count'])"

# 5. Nuclear option: full restart
joelclaw loop restart <loop-id>

Making Loops More Resilient

The root cause of most stalls is lost events in the judge→plan chain. Solutions being implemented:

  1. onFailure handlers — every function gets one, logs failure + emits diagnostic event
  2. Loop watchdog — periodic check for silent stalls
  3. Debounce on content-sync — prevents event storms that can crowd out loop events
  4. Singleton on backfill — prevents resource contention during loops

Cross-References

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

34.02%
按下载量换算81

Claude

33.2%
按下载量换算79

Cursor

20.48%
按下载量换算49

Gemini CLI

9.28%
按下载量换算22

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

可疑

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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