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agent-task-statusAgent 任务状态

Agent Skill

agent-task-status 用于查找、检索和筛选相关信息,适合在 OpenClaw 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。

总安装

7,589

周安装

307

GitHub Stars

公开资料未说明

下载量

2,382
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:agent-task-status(Agent 任务状态)
来源仓库:https://github.com/lujohn74/agent-task-status
安装命令:
openclaw skills install agent-task-status
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 agent-task-status

简介

Agent Task Status 通过转录审计验证代理是否收到任务并返回执行状态。

  • 适用于需要确保任务可达性与执行透明度的监管场景。
  • 基于日志分析生成合规报告,支持事后追溯。agent-task-status 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 安装前应授权读取代理历史对话与任务分配记录权限。
  • 建议定期运行检查以识别未响应或异常退出的代理实例。

SKILL.md

name
agent-task-status
description
Verify whether named OpenClaw agents actually received formal task assignments and replied with execution status, using transcript-backed audit checks. Use when auditing real delegation, confirming assignment delivery to specific agents, reviewing recent task completion, checking whether an agent replied after being assigned work, or troubleshooting multi-agent routing from session transcripts. Especially useful for requests like “检查小程/小文/小编有没有收到任务”, “确认任务有没有真正派到 agent 本人”, “看看这些 agent 执行到哪一步”, “汇总最近派单情况”, or “排查多 agent 调度是否真的落到本人并形成回报闭环”.

Agent Task Status

Use the bundled script to inspect OpenClaw session indexes and transcript files, then extract the latest assignment and structured report for each target agent.

Quick start

Run the script directly:

python3 /home/lyqadmin/.openclaw/workspace/skills/agent-task-status/scripts/check_agent_task_status.py --format summary

For more examples, read references/usage.md.

Workflow

  1. Decide which agents to inspect.

- Use --agents a,b,c for explicit targets. - Use --agent-file when the list comes from a file. - Use --discover when the deployment has many agents under the same root.

  1. Set the agent storage root.

- Default is ~/.openclaw/agents. - Override with --base or OPENCLAW_AGENTS_BASE in non-default environments.

  1. Match the session shape.

- Default session key template is agent:{agent}:main. - Override with --session-key-template if your target sessions use another pattern.

  1. Match the assignment/report language.

- Default assignment keyword is 正式任务分配:. - Default report prefixes are 任务: / 状态: / 结果: / 风险:. - Override these when the team uses different markers or another language.

  1. Filter the output when needed.

- --only-status filters by normalized status such as completed, blocked, accepted, no-assignment, assigned-no-report, error. - --contains filters by keyword across assignment text, parsed task, result, and risk.

  1. Pick an output format.

- table: best for human inspection - summary: compact overview - json: structured automation output - jsonl: line-oriented pipelines

  1. Use --strict for CI/automation.

- Exit 0: normal - Exit 1: partial problem such as missing assignment/report or agent error - Exit 2: script/runtime error

  1. Use --output-file to persist results for later review or downstream automation.

Recommended commands

Human-readable table:

python3 /home/lyqadmin/.openclaw/workspace/skills/agent-task-status/scripts/check_agent_task_status.py --agents xiaocheng,xiaowen,xiaobian --format table

Only completed tasks:

python3 /home/lyqadmin/.openclaw/workspace/skills/agent-task-status/scripts/check_agent_task_status.py --discover --only-status completed --format summary

Filter by keyword:

python3 /home/lyqadmin/.openclaw/workspace/skills/agent-task-status/scripts/check_agent_task_status.py --discover --contains 自动化 --format table

Automation JSON:

python3 /home/lyqadmin/.openclaw/workspace/skills/agent-task-status/scripts/check_agent_task_status.py --agent-file ./agents.txt --format json --strict --output-file ./agent-status.json

What to inspect in the output

  • sessionKey: which session was used
  • sessionFile: exact transcript file path
  • assignedAt / assignText: when and what was assigned
  • reportAt: when the agent reported back
  • task / status_raw / status_normalized / result / risk: parsed structured fields
  • error: why the check failed for that agent

Limitations

  • This skill assumes an OpenClaw-style agent root with sessions/sessions.json and transcript sessionFile paths.
  • It only checks the target session pattern you specify; it does not automatically infer every possible routing form.
  • If the assignment keyword or report field prefixes change, you must override them.
  • It reports what is present in transcripts; it does not infer hidden work with no assignment/report markers.

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

84.26%
按下载量换算2,007

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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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