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Agent Skill · 研究检索

subagent-tracker(子 Agent 跟踪器)

subagent-tracker 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。

subagent-tracker 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为执行命令;许可证为 MIT-0,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 14,466。

总安装 8,536周安装 342GitHub Stars 公开资料未说明下载 2,763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
1.2.0

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:subagent-tracker(子 Agent 跟踪器)
来源仓库:https://github.com/austindixson/subagent-tracker
安装命令:
openclaw skills install subagent-tracker
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 subagent-tracker

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。

该技能通过“代理状态”指令获取所有子代理的最新进度与尾部日志。实时跟踪操作记录,列出活跃代理及其运行状态,便于故障排查与进度同步。适用于长时间运行任务监控,输出包含转录本的详细活动快照。安装前需确认日志存储路径可访问,避免因文件锁定导致信息不全。输出为文本摘要,不包含原始日志下载,重要信息建议及时导出备份。

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 subagent-tracker;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

    它需要执行命令,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

subagent-tracker 怎么安装?

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

subagent-tracker 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。

subagent-tracker 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 openclaw skills install subagent-tracker 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

subagent-tracker 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。

subagent-tracker 用的人多吗?

公开数据是累计安装 8,536 次,近一周安装 342 次,下载 2,763 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。

subagent-tracker 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。

先想清楚的地方

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 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。
  • 需要处理研究检索类任务、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

  • 不能接受 Skill 在你机器上执行命令的人。
  • 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
subagent-tracker

子 Agent 跟踪器 · 本页

8,536—执行命令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
subagent-tracker
displayName
Subagent Tracker
description
Say "agent status" and get updates on all subagent progress. Track subagent actions while they run; list active subagents, status, and tail transcripts. Install for power users using the agent swarm.
version
1.2.0

Subagent Tracker

Description

Say "agent status" and get updates on all subagent progress. Track subagent actions while they run; list active subagents, status, and tail transcripts. Install for power users using the agent swarm.

Subagent Tracker

Say “agent status” and get an update on all subagent progress—who’s running, what they’re doing, and when tasks complete. The TUI doesn’t show a live “sub-agent working…” indicator; subagent-tracker is how you see what your agent swarm is doing.


Installation

ClawHub: Update clawhub install and ClawHub links when the new ClawHub instance is live.

npm install -g clawhub
clawhub install subagent-tracker

Or clone: git clone https://github.com/RuneweaverStudios/subagent-tracker.git workspace/skills/subagent-tracker


Usage

  • User says: "agent status", "track subagents", "see what the sub-agent is doing", "show progress", "show subagent progress", "why didn't the agent come back", "sub-agent never responded"
  • After delegation: user wants a progress/loading-style view — run the tracker and summarize active subagents and recent tool calls
  • Debugging: sub-agent was assigned (e.g. "Using: Kimi k2.5") but no result showed in chat — list runs and sessions, tail transcripts, report what the sub-agent is doing or did
You sayWhat happens
"agent status"Orchestrator runs tracker, reports active subagents (Agent 1, Agent 2, … with Task X/Y and model).
"track subagents" / "show subagent progress"Same: list active subagents and optional status/tail for detail.
"what's the sub-agent doing?"Tracker list + summary; optionally status for a specific session.
"why didn't the agent come back?"Tracker shows what ran or is running; orchestrator can tail transcript and report.

Examples

List subagents active in the last 30 minutes:

python3 /Users/ghost/.openclaw/workspace/skills/subagent-tracker/scripts/subagent_tracker.py list --active 30

Status for a session (ID from list or runs.json):

python3 /Users/ghost/.openclaw/workspace/skills/subagent-tracker/scripts/subagent_tracker.py status e1e51315-9766-4604-85b4-58b9e96c39ef

Tail last 15 transcript events:

python3 /Users/ghost/.openclaw/workspace/skills/subagent-tracker/scripts/subagent_tracker.py tail e1e51315-9766-4604-85b4-58b9e96c39ef --lines 15

Run all tracker checks locally (list + status + tail on first active subagent):

/Users/ghost/.openclaw/workspace/skills/subagent-tracker/scripts/test-subagent-tracker.sh

Commands

From any cwd (e.g. TUI exec), use the skill path:

python3 /Users/ghost/.openclaw/workspace/skills/subagent-tracker/scripts/subagent_tracker.py list [--active MINUTES] [--json] [--summary]

(Use --summary for a single "Here are your active subagents" block with Agent 1, Agent 2, … and Task X/Y when available; report it once, do not duplicate.)

python3 /Users/ghost/.openclaw/workspace/skills/subagent-tracker/scripts/subagent_tracker.py status <session-id|key> [--json]
python3 /Users/ghost/.openclaw/workspace/skills/subagent-tracker/scripts/subagent_tracker.py tail <session-id> [--lines N]

Prevent duplicate subagent tasks (run before sessions_spawn):

python3 /Users/ghost/.openclaw/workspace/skills/subagent-tracker/scripts/subagent_tracker.py check-duplicate --task "<task string>" --json

If output has "duplicate": true, do not call sessions_spawn; reply that the task is already running. The orchestrator rule runs this automatically before spawning.

Session IDs come from list or from subagents/runs.json (extract from childSessionKey, e.g. agent:main:subagent:UUID → use UUID).

Pain point

When you queue multiple tasks (poem, bug fix, research), you have no built-in view of which subagents are active or how far along they are. Without this skill, “agent status” or “what’s the sub-agent doing?” can’t be answered.


Benefits

  • One phrase: Say “agent status”, “track subagents”, or “show subagent progress” and the orchestrator runs the tracker and reports (Agent 1, Agent 2, … with Task X/Y and model).
  • Full visibility — List active subagents, view status and tokens, tail transcript events (tool calls, thinking).
  • Works with the swarm — Map task → session via subagents/runs.json; when runs include taskIndex and totalTasks, the tracker shows “Task X/Y” per agent.
  • Duplicate prevention — check-duplicate runs before sessions_spawn so the same task isn’t run twice (saves tokens and lag).

Encouraged for power users: If you use Agent Swarm and handle multiple queued tasks, download subagent-tracker so you can say “agent status” and stay updated.


Chat visibility and "agents never come back"

Why results sometimes don't appear: The orchestrator must wait for sessions_spawn to return before replying. If it replies with "I'll let you know once it has findings!" and ends the turn, the sub-agent result never gets into the chat. The rule "Wait for spawn before replying" in the orchestrator delegate rule addresses this.

Progress/loading: The TUI does not show a live "Sub-agent working…" indicator. To see progress, the user must ask (e.g. "show subagent progress", "what's the sub-agent doing?", "track subagents"). The orchestrator then runs the tracker and reports. Use list --active 30 --summary for a single block (e.g. "Here are your active subagents:" with "Agent 1 (Task 2/5): model (age)" per line). The orchestrator must output this block once only—never repeat it. Optionally list --active 30 then status <session-id> / tail <session-id> for detail.

Features

  • List active subagents – Sessions with status (recent activity, model, tokens)
  • View subagent details – Tool calls, tokens, transcript line count
  • Tail subagent logs – Recent transcript events (tool calls, thinking)
  • Map task → session – subagents/runs.json has task, childSessionKey, runId; when entries include taskIndex and totalTasks, the tracker shows "Task X/Y" (e.g. Task 3/5) per agent.

Orchestrator behavior

When the user asks to track or see progress of subagents:

  1. Run subagent_tracker.py list --active 30 --summary (absolute path above). The output is a single block with "Here are your active subagents:" and one line per agent (Agent 1, Agent 2, … with Task X/Y when in runs.json).
  2. Paste that block once in your reply; do not repeat it or add a second copy of the list. Optionally run status <sessionId> for detail.
  3. If you add a line about completed subagents, do it once at the end. Optionally summarize in plain language: e.g. "One sub-agent is running (Kimi k2.5). It’s been active for 2m; last actions: write, exec (npm install)."

When the user says sub-agents never come back or no results in chat:

  1. Acknowledge the issue (orchestrator should wait for sessions_spawn before replying; see delegate rule).
  2. Run the tracker to show what *is* running or what recently ran: list, then status/tail for recent sessions, and report.

Integration with heartbeats

In HEARTBEAT.md you can add:



## Subagent checks

- Check for stalled subagents (>30 min inactive)
- Notify when subagents complete

How it works

The tracker reads OpenClaw's session store (agents/main/sessions/) and JSONL transcripts. It does not require extra dependencies (Python standard library).

平台分布

OpenClaw

82.62%
按下载量换算2,283

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 openclaw skills install subagent-tracker 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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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