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task-ledger任务分类帐

Agent Skill

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。

总安装

18,253

周安装

753

GitHub Stars

1

下载量

5,964
OpenClaw

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

MIT-0

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: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

简介

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。

SKILL.md

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.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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

补充不同宿主或平台的使用分布数据

能力 5

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

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。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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