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Agent Skill · 研究检索

agent-loop(Agent 循环)

agent-loop 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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。

agent-loop 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为权限未标注;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 48,626。

总安装 682周安装 29GitHub Stars 55下载 239核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:agent-loop(Agent 循环)
来源仓库:https://github.com/joelhooks/joelclaw
仓库路径:skills/agent-loop
安装命令:
npx skills add https://github.com/joelhooks/joelclaw --skill agent-loop
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 agent-loop

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

agent-loop 用于 Agent 工作流的循环控制与优化。适合在 Codex、Claude、Cursor、Gemini CLI 中筛选相关实现方案。支持按任务类型或流程阶段定位候选策略。agent-loop 属于研究检索类 Skill,可作为该场景下的辅助能力补充。安装前建议确认权限范围和维护状态后再使用。

可结合来源仓库和原始 README 进一步核验具体用法。

来源仓库内路径:skills/agent-loop

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/joelhooks/joelclaw --skill agent-loop;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    权限没有明确标注,第一次使用时只给一个无关紧要的任务,观察它到底读了哪些文件和网络。

常见问题

6 条

agent-loop 怎么安装?

在终端执行 npx skills add https://github.com/joelhooks/joelclaw --skill agent-loop。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

agent-loop 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

agent-loop 需要什么权限?

权限级别没有明确标注。第一次使用时建议只给无关紧要的任务,观察它实际读写了哪些内容。

agent-loop 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

agent-loop 用的人多吗?

公开数据是累计安装 682 次,近一周安装 29 次,下载 239 次,GitHub 55 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

agent-loop 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
agent-loop

Agent 循环 · 本页

68255权限未标注未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Agent Loop

Run durable PLANNER→IMPLEMENTOR→REVIEWER→JUDGE coding loops via Inngest. Each story in a PRD gets independently implemented, tested, and judged. Survives crashes. Every step is a traceable Inngest run.

After starting a loop, use the loop-nanny skill for monitoring, triage, post-loop cleanup, and knowing when to intervene.

Quick Start

# Start a loop
joelclaw loop start --project /path/to/project --prd prd.json --max-retries 2

# Check status
joelclaw loop status [LOOP_ID]

# Cancel
joelclaw loop cancel LOOP_ID

The joelclaw CLI is the primary interface. Run with bun run packages/cli/src/cli.ts loop start... from the monorepo root.

PRD Format

Create a prd.json in the project root:

{
  "title": "Feature Name",
  "description": "What we're building",
  "stories": [
    {
      "id": "S1",
      "title": "Short title",
      "description": "What to implement. Be specific about files, patterns, behavior.",
      "acceptance_criteria": [
        "Criterion 1 — must be verifiable by automated test",
        "Criterion 2 — must be checkable by typecheck/lint"
      ],
      "priority": 1,
      "passes": false
    }
  ]
}

Story writing tips:

  • Acceptance criteria must be machine-verifiable (tests, typecheck, lint)
  • Lower priority number = runs first
  • Keep stories small and atomic — one concern per story
  • Include file paths in descriptions when possible
  • passes flips to true when JUDGE approves; skipped: true added on max retry exhaustion
  • Runtime preflight normalizes legacy aliases (acceptance, acceptanceCriteria) to acceptance_criteria, but malformed stories still fail fast with explicit schema errors — keep PRDs canonical.

Pipeline Flow

joelclaw loop start → agent/loop.start event
  → PLANNER reads prd.json, finds next unpassed story
    → IMPLEMENTOR spawns codex/claude/pi, commits changes
      → REVIEWER writes tests from acceptance criteria (independently — does NOT read implementation)
        → JUDGE: all green? → mark passed, next story
                 failing?   → retry with feedback (up to maxRetries)
                 exhausted? → skip, flag for human review, next story
  → All done → agent/loop.complete

progress.txt

Create a progress.txt in the project root with a ## Codebase Patterns section at the top. This is read by the implementor for project context and appended by the judge after each story. Defends against context loss across fresh agent instances.

## Codebase Patterns

- Runtime: Bun, not Node
- Tests: bun test
- Key files: src/index.ts, src/lib/...

## Progress

(stories will be appended here)

Infrastructure

  • Canonical source: ~/Code/joelhooks/joelclaw/packages/system-bus/ (monorepo)
  • Inngest functions: agent-loop-plan, agent-loop-implement, agent-loop-review, agent-loop-judge, agent-loop-complete, agent-loop-retro
  • Inngest server: k8s StatefulSet at localhost:8288
  • Loop --project target: Always use ~/Code/joelhooks/joelclaw/packages/system-bus (the monorepo).
  • Apply worker changes: ~/Code/joelhooks/joelclaw/k8s/publish-system-bus-worker.sh
  • Verify functions: joelclaw functions
  • View runs: joelclaw runs -c
  • Inspect a run: joelclaw run RUN_ID

Single-source deployment flow

The monorepo is the source of truth for loop function code. After loop-related function changes merge, deploy the worker from the monorepo:

  1. Run ~/Code/joelhooks/joelclaw/k8s/publish-system-bus-worker.sh
  2. Wait for rollout: kubectl -n joelclaw rollout status deployment/system-bus-worker --timeout=180s
  3. Refresh registration: joelclaw refresh

Event Schema

All events carry loopId for tracing. Key events:

EventPurpose
agent/loop.startKick off loop (loopId, project, prdPath, maxRetries, maxIterations)
agent/loop.planPlanner re-entry (find next story)
agent/loop.implementDispatch to implementor (storyId, tool, attempt, feedback?)
agent/loop.reviewDispatch to reviewer (storyId, commitSha, attempt)
agent/loop.judgeDispatch to judge (testResults, feedback, attempt)
agent/loop.completeLoop finished (summary, counts)
agent/loop.cancelStop the loop
agent/loop.story.passStory passed
agent/loop.story.failStory skipped after max retries

Tool Assignment

Default: codex for implementation, claude for review. Override per-story via toolAssignments in the start event:

{
  "toolAssignments": {
    "S1": { "implementor": "claude", "reviewer": "claude" },
    "S2": { "implementor": "codex", "reviewer": "pi" }
  }
}

Known Gotchas

  • Concurrency keys use CEL expressions (event.data.project), not {{}} templates
  • loop is reserved in CEL — don't use in concurrency key strings
  • Use explicit Codex permissions: codex exec --ask-for-approval never --sandbox danger-full-access PROMPT (no -q flag)
  • Worker changes require a k8s deploy (k8s/publish-system-bus-worker.sh)
  • Docker must be running for Inngest server (open -a OrbStack)
  • Large tool output uses claim-check pattern (written to /tmp/agent-loop/{loopId}/)

Logging

Every story attempt is logged via slog:

slog write --action "story-pass" --tool "agent-loop" --detail "Story title (ID) passed on attempt N" --reason "details"

Actions: story-pass, story-retry, story-skip, build-complete

Source Files

FilePurpose
~/Code/joelhooks/joelclaw/packages/system-bus/src/inngest/client.tsEvent type definitions
~/Code/joelhooks/joelclaw/packages/system-bus/src/inngest/functions/agent-loop/utils.tsPRD parsing, git, cancellation, claim-check
~/Code/joelhooks/joelclaw/packages/system-bus/src/inngest/functions/agent-loop/plan.tsPLANNER
~/Code/joelhooks/joelclaw/packages/system-bus/src/inngest/functions/agent-loop/implement.tsIMPLEMENTOR
~/Code/joelhooks/joelclaw/packages/system-bus/src/inngest/functions/agent-loop/review.tsREVIEWER
~/Code/joelhooks/joelclaw/packages/system-bus/src/inngest/functions/agent-loop/judge.tsJUDGE
~/Code/joelhooks/joelclaw/packages/system-bus/src/serve.tsWorker registration
~/Code/joelhooks/joelclaw/packages/cli/src/cli.tsjoelclaw CLI (loop subcommands)

平台分布

Codex

32.45%
按下载量换算78

Claude

31.76%
按下载量换算76

Cursor

16.95%
按下载量换算41

Gemini CLI

9.18%
按下载量换算22

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

权限未标注

当前来源未能明确判断权限范围,默认进入异常复核队列。

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。目前只有一个公开来源,建议同时核对源仓库。

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