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subagent-tracker子 Agent 跟踪器

Agent Skill

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。

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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: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

简介

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。

SKILL.md

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 preventioncheck-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 → sessionsubagents/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).

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

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。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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