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Agent Skill · 效率

project-loop(项目循环)

project-loop 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。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。

project-loop 是效率类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为操作浏览器;许可证为 MIT-0,第三方扫描有提醒项,按安装量在效率类的 21,003 个 Skill 里排第 9,504。

总安装 5,974周安装 254GitHub Stars 公开资料未说明下载 2,093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
MIT-0
版本
1.0.2

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:project-loop(项目循环)
来源仓库:https://github.com/sebclawops/project-loop
安装命令:
openclaw skills install project-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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install project-loop

这个 Skill 是做什么的

效率类 Skill 把重复的整理、汇总、转换工作交给助手完成,减少手工复制粘贴。

从文件支持的状态运行已批准的长期运行的项目工作,继续执行可自行清除的任务,在真正的关口干净地暂停,并跨会话恢复。

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 OpenClaw;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 openclaw skills install project-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

    它需要操作浏览器,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

project-loop 怎么安装?

在终端执行 openclaw skills install project-loop。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

project-loop 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。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。

project-loop 需要什么权限?

权限级别是操作浏览器。该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

project-loop 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

project-loop 用的人多吗?

公开数据是累计安装 5,974 次,近一周安装 254 次,下载 2,093 次。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。

project-loop 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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 OpenClaw,想直接扩展它能力的人。
  • 需要处理效率类任务、又不想每次都手写提示词的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

效率类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
github

GitHub 代码协作 · OpenClaw

7,632,918545需要联网MIT-0通过
nano-pdf

Nano PDF 文档 · OpenClaw

4,249,476231需要联网MIT-0通过
auto-updater

自动更新程序 · OpenClaw

2,964,063386操作浏览器MIT-0通过
video-frames

视频帧 · OpenClaw

2,621,304112需要联网MIT-0通过
gemini

Gemini 助手 · OpenClaw

2,547,39648需要联网MIT-0有提醒
project-loop

项目循环 · 本页

5,974—操作浏览器MIT-0有提醒

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

name
project-loop
description
Run approved long-running project work from file-backed state, continue through self-clearable tasks, pause cleanly at real gates, and recover across sessions.

Project Loop

Use for approved multi-step work that must survive resets, compaction, interruption, approval gates, and stalled execution.

Do not use for trivial one-turn work, open-ended autonomy, or projects without a clear owner.

Core Rules

  • Project files, not chat, are the source of truth
  • Trust this order: state.json > manifest.md > validation.md > handoff.md > memory > chat
  • Only the owner_agent in state.json executes project tasks
  • Other agents may improve the skill, but do not run the loop
  • Do not wait for human confirmation between self-clearable tasks
  • Keep executing until an approval gate, blocker, or stop condition is reached
  • After completing a chunk and successfully updating state, immediately begin the next eligible self-clearable chunk in the same turn
  • Do not wait for a human response between self-clearable tasks after a successful state update
  • Stop only for a real blocker, approval gate, failed state update, or explicit stop condition
  • Before starting any task, check whether the output already exists
  • If the work already landed, mark it done and advance
  • On every resume, verify state.json against actual reality before executing
  • During active execution, send a status update at least every 5 minutes
  • A 5-minute update must include one of: artifact created, task completed, blocker, or exact next action in progress
  • Do not send empty “still working” updates

Required Project Files

Project path:

agents/<agent-id>/projects/<project-slug>/

Required:

README.md
manifest.md
state.json
validation.md

Optional:

handoff.md
notes.md
artifacts/
logs/

state.json Minimum Fields

  • project_id
  • owner_agent
  • status
  • phase
  • current_task_id
  • last_checkpoint
  • next_action
  • blocked_reason
  • awaiting_approval
  • approval_items
  • retry_count
  • max_retries
  • last_session_note
  • resume_instructions
  • interrupted
  • active_loop

Recommended additions:

  • approved_objective
  • scope_guardrails
  • task_queue_snapshot
  • completed_tasks
  • blocked_tasks
  • deferred_tasks
  • artifacts
  • validation_status
  • last_error
  • last_error_at
  • budget_hints
  • resume_history
  • watchdog

Session Start and Resume

Read in this order:

  1. state.json
  2. manifest.md
  3. validation.md
  4. handoff.md if present
  5. only then memory or chat if still needed

Never start by asking “what were we doing?” if project files exist.

On resume:

  • read status, phase, current_task_id, next_action, resume_instructions
  • verify state against actual reality before doing anything
  • continue from recorded state, not guesswork

State Machine

States:

  • Draft
  • Ready
  • Running
  • Validating
  • AwaitingApproval
  • Blocked
  • Paused
  • Done
  • Abandoned

Allowed transitions:

Draft -> Ready
Ready -> Running
Running -> Validating
Validating -> Running
Validating -> Done
Running -> AwaitingApproval
Validating -> AwaitingApproval
Running -> Blocked
Validating -> Blocked
Running -> Paused
AwaitingApproval -> Running
Blocked -> Running
Paused -> Running
Any state -> Abandoned

Rules:

  • Draft -> Ready only when objective, scope, manifest, and validation exist
  • Ready -> Running only when the next chunk is sized and eligible
  • Running -> Validating only after outputs are recorded
  • Validating -> Running only after pass and a next task is eligible
  • Validating -> Done only when required tasks are complete and final checks pass
  • Running/Validating -> AwaitingApproval for true human-cleared boundaries
  • Running/Validating -> Blocked when a blocker cannot be self-cleared within retry rules
  • Running -> Paused only for interruption, manual pause, or no eligible task

Execution Rules

  • One chunk = one objective + one validation target
  • If a task has more than one verb, split it
  • Split at boundary changes: local prep -> remote write, remote write -> validation, planning -> execution, authenticated action -> read-back
  • Never bundle multiple operations into one command if they can be independent
  • If any command or execution step is denied for obfuscation or size, split it into smaller independent steps and retry
  • This applies to file writes, API calls, shell commands, browser actions, and any other execution path

A chunk is too large if it:

  • has more than one primary deliverable
  • crosses multiple boundaries
  • mixes planning, execution, and validation
  • touches too many pages, endpoints, or files at once
  • cannot be described with one clear done condition

Progress Rules

  • Updating state.json, manifest.md, validation.md, or handoff.md alone does not count as execution progress unless the current task is explicitly documentation-only
  • Do not claim forward execution unless the external world changed or a required artifact for the current task was created
  • When marking a task complete, record concrete evidence in state and in your reply when relevant: artifact path, file changed, page changed, validation evidence, or blocker artifact
  • If you cannot point to the output, the task is not done
  • Do not spend more than 2 consecutive project turns on planning, loop setup, or state reshaping without either executing, validating, or escalating
  • If the user questions silence or progress, stop meta narration and report only: what changed, what artifact exists, what blocker exists, and what exact action is next
  • Do not report system status theatrically. Report concrete project facts only

Validation Rules

No task is complete until validation passes and the result is recorded.

Validation may include:

  • artifact existence/content check
  • file diff or file review
  • browser verification of rendered state
  • API read-back
  • log/command review
  • human review for customer-facing release steps

Validation records should capture:

  • task ID
  • method
  • pass/fail
  • timestamp
  • evidence location
  • next step

If validation fails:

  • do not advance
  • record exact failure
  • retry only with a bounded corrective chunk or move to Blocked

Approval and Pause Rules

Self-clearable work may continue if it stays in scope.

Human-cleared work includes:

  • credential handling
  • auth construction
  • authenticated remote writes
  • WordPress REST writes
  • installs or config changes
  • third-party sends
  • publish/live-release steps unless already pre-approved
  • actions requiring manual login or privileged access

When a true approval gate is reached:

  • set status to AwaitingApproval
  • record the exact pending action in approval_items
  • record what prep is already done
  • continue only if another independent task is eligible
  • otherwise pause cleanly

Do not pause at routine internal chunk boundaries. Pause only for:

  • real blocker
  • missing access or credentials
  • meaningful human decision
  • explicit stop/pause
  • genuine risk or scope boundary

Interruption and Recovery

If interrupted by unrelated work:

  • finish any atomic write already in progress if safe
  • update state.json immediately
  • set interrupted=true
  • set active_loop=false
  • set status=Paused unless already AwaitingApproval or Blocked

When updating state.json, use a full-file write by default, not a partial edit. state.json changes frequently and exact-match edit operations are brittle on high-churn files. Use partial edit only if you have just read the current file and the change is truly small, stable, and low-risk.

If state.json cannot be updated:

  • stop execution immediately
  • this is a hard stop, not a soft warning
  • do not continue the loop, do not start another chunk, and do not claim progress until state is repaired or successfully rewritten
  • report the exact failure and recovery step

If a task may have partially executed:

  • verify actual reality first
  • do not blindly rerun
  • choose next action from observed state, not assumptions

If state is missing or inconsistent:

  • reconstruct from manifest, validation, artifacts, and handoff
  • rewrite state before resuming

Watchdog Rules

Cron is a watchdog only, never the main workflow engine.

  • When creating a new project, automatically create a watchdog cron for that project
  • When a project moves to Done or Abandoned, remove the watchdog
  • The watchdog only reports when it takes an action or finds something worth surfacing
  • If there is nothing to resume, retry, or escalate, stay silent

Watchdog may:

  • detect stale Running
  • detect resumable Paused
  • detect approval-cleared states ready to continue
  • trigger one bounded resume pass

Watchdog must not:

  • invent new work
  • rewrite scope
  • cross approval gates without clearance
  • spam retries
  • chain arbitrary timer-based work

Recommended cap:

  • one automatic resume attempt per cycle
  • no more than two automatic recovery attempts without new evidence

Operating Sequence

  1. Read state.json
  2. Read manifest.md
  3. Read validation.md
  4. Read handoff.md if present
  5. Verify current state against actual reality
  6. Check whether the target output already exists
  7. Pick one eligible chunk
  8. Apply chunk sizing rules
  9. Execute
  10. Validate
  11. Update state.json
  12. Continue if self-clearable, otherwise pause or escalate cleanly

平台分布

OpenClaw

71.28%
按下载量换算1,492

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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