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Agent Skill · 运维

task-ledger(任务分类帐)

task-ledger 用于补充运维相关能力,适合在 OpenClaw 中需要让 Agent 承接运维相关任务时使用。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。

task-ledger 是运维类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为只读;许可证为 MIT-0,第三方扫描已通过,按安装量在运维类的 954 个 Skill 里排第 208。

总安装 18,253周安装 753GitHub Stars 1下载 5,964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
0.3.2

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:task-ledger(任务分类帐)
来源仓库:https://github.com/gejiliang/task-ledger
安装命令:
openclaw skills install task-ledger
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 task-ledger

这个 Skill 是做什么的

运维类 Skill 处理部署、监控、日志和云资源,多数需要较高的执行权限。

OpenClaw 长时间运行任务的耐用工作流管理层。支持多阶段、可恢复与跨子代理并行执行。适用于高可靠性运维与批处理场景。task-ledger 属于运维类 Skill,可作为该场景下的辅助能力补充。安装前需确认权限范围、维护状态及是否启用后台持久化。建议结合原始 README 核验重启恢复与状态一致性机制。

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 task-ledger;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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

task-ledger 怎么安装?

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

task-ledger 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。

task-ledger 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

task-ledger 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。

task-ledger 用的人多吗?

公开数据是累计安装 18,253 次,近一周安装 753 次,下载 5,964 次,GitHub 1 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。

task-ledger 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

  • 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。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 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。
  • 需要处理运维类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

运维类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
docker-essentials

Docker 基础 · OpenClaw

1,005,15130接触敏感数据MIT-0通过
playwright-scraper-skill

Playwright scraper 技能 · OpenClaw

923,55754接触敏感数据MIT-0有提醒
moltguard

moltguard 搜索 · OpenClaw

825,096110接触敏感数据MIT-0通过
finance-news

财经新闻 · OpenClaw

275,51210需要联网MIT-0有提醒
security-monitor

安全监视器 · OpenClaw

224,1695需要联网MIT-0有提醒
task-ledger

任务分类帐 · 本页

18,2531只读MIT-0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

name
task-ledger
description
Durable workflow layer for OpenClaw long-running work. Use when tasks are multi-stage, recoverable, parallelized across sub-agents/ACP, use background exec or cron, have external side effects, or need auditable outputs and resumable execution.
metadata

task-ledger

Use Task Ledger to turn long-running agent work into durable task objects instead of relying on fragile chat context.

Task Ledger is a workflow layer on top of OpenClaw execution primitives. It does not replace ACP, sub-agents, exec, cron, or skills. It gives them a durable task structure:

  • checkpoint files in tasks/
  • execution logs in logs/
  • artifacts and reports in outputs/
  • execution bindings for process/session/cron references
  • parent/child task trees
  • dependency and readiness checks
  • recovery protocol
  • short-first reporting

Trigger

Use this skill when any of these are true:

  • task runtime will likely exceed 5 minutes
  • task has more than 3 stages
  • task uses background exec
  • task uses sessions_spawn
  • task uses cron
  • task has external side effects
  • task involves restart / deploy / maintenance workflows with risky side effects
  • task should be split into parent/child tasks or tracked with dependencies
  • multiple agents or sub-agents will work in parallel
  • task readiness should be checked before starting downstream work
  • task reporting should prefer short updates backed by long file-based reports
  • the user wants the work to be recoverable / resumable / auditable

Do not use this skill for every tiny action. It is meant for work where losing state or execution structure would be costly.

What this skill provides

This package includes:

  • task checkpoint JSON files in tasks/
  • execution logs in logs/
  • outputs/artifacts in outputs/
  • lifecycle helpers for create/update/advance/close
  • recovery helpers for verify/resume-summary
  • binding helpers for process/subtask/cron references
  • rollback metadata in the task schema
  • parent/child task relations and dependency-aware tooling
  • readiness-aware scheduling helpers
  • specialized templates for restart and deployment workflows
  • human-friendly export for reports, handoff, archival, and graph views
  • short-first reporting with optional file-backed long reports

Bundled files live next to this skill under toolkit/.

First-use bootstrap

If the current workspace does not already contain the toolkit, copy these bundled assets into the workspace root:

  • toolkit/scripts/* → <workspace>/scripts/
  • toolkit/task-templates/* → <workspace>/task-templates/
  • toolkit/tasks/README.md → <workspace>/tasks/README.md

Always create the runtime directories if missing:

  • tasks/
  • logs/
  • outputs/

Do not overwrite user-modified files silently unless explicitly asked. Prefer copying only missing files and then report what was installed.

Operating protocol

  1. Confirm the plan with the user before execution.
  2. Create the task skeleton first.
  3. Choose explicit stages that match reality.
  4. Record execution references (process.sessionId, subtask.sessionKey, cron.jobId) when they exist.
  5. Link parent/child tasks and dependencies when the work is larger than a single task object.
  6. If work is parallelized, prefer one parent task plus one child task per worker.
  7. Check readiness before starting dependent tasks; use start-if-ready when appropriate.
  8. Update the task file after every completed stage.
  9. On recovery, read the resume summary and verify real state first.
  10. If reality and the checkpoint disagree, correct the checkpoint before continuing.
  11. Continue only the unfinished work.
  12. Prefer short user-facing summaries and keep long reports on file when appropriate.
  13. Export or summarize task state in a human-friendly form when needed.
  14. Proactively notify on completion.
  15. If execution was interrupted and later resumed/reconnected, proactively notify that too.

Parallel task pattern

For multi-agent or multi-sub-agent work:

  • create one parent task for the overall goal
  • create one child task per worker / subtask branch
  • bind each child task to its own execution reference
  • keep detailed stage tracking on child tasks
  • let the parent task orchestrate readiness, finalization, and reporting

Avoid treating one task JSON file as a shared concurrent write target. Task trees are safer than shared state.

Core commands

Create a task skeleton:

./scripts/new-task.sh <slug> <title> [goal] [executionMode] [stagesCsv] [priority] [owner]

Useful helpers:

./scripts/list-open-tasks.py
python3 ./scripts/task-ls-tree.py
python3 ./scripts/task-ready.py <taskId> [--json]
python3 ./scripts/task-start-if-ready.py <taskId> [nextAction]
python3 ./scripts/task-graph-export.py [--format markdown|dot|json] [--open-only]
./scripts/show-task.py <taskId>
./scripts/task-events.py <taskId> [limit] [--type <eventType>] [--json]
./scripts/update-task.py <taskId> ...
./scripts/task-advance.py <taskId> [nextAction]
./scripts/task-bind-process.py <taskId> <processSessionId> [pid] [--state <state>]
./scripts/task-bind-subtask.py <taskId> <sessionKey> [--agent-id <agentId>]
./scripts/task-bind-cron.py <taskId> <jobId> [--schedule <expr>] [--next-run-at <iso>]
./scripts/task-verify.py <taskId> <summary> ...
./scripts/task-resume-summary.py <taskId> [--json|--markdown]
./scripts/task-export.py <taskId> [--format markdown|json|short] [--write-report]
./scripts/close-task.py <taskId> <final-status> [summary]
./scripts/task-doctor.py [taskId] [--strict] [--json]

Specialized templates

Use bundled examples for common risky workflows:

  • restart-openclaw-gateway.example.json
  • deploy-service.example.json
  • sync-feishu-doc.example.json

Practical rule

Task files are not truth. They are cached descriptions of truth. Reality wins.

平台分布

OpenClaw

85.89%
按下载量换算5,122

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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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