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skill-tracker技能追踪器

Agent Skill

skill-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。

总安装

10,820

周安装

442

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下载量

3,465
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:skill-tracker(技能追踪器)
来源仓库:https://github.com/abo-hub/skill-tracker
安装命令:
openclaw skills install skill-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 skill-tracker

简介

跟踪技能执行详情,包括匹配任务、状态与时间戳记录。

  • 在对话开始时自动调用,用于监控技能运行轨迹。
  • 提供执行日志与输出追踪,便于问题回溯与分析。
  • 需确保系统具备写入日志文件的权限。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。
  • skill-tracker 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
skill-tracker
description
Track skill execution details including matched skills, decomposed tasks, execution status, outputs, and timestamps. Called at the start of every conversation turn to record skill usage.

Skill Tracker

Track skill execution for analysis and debugging. This skill monitors which skills are used in conversations and records detailed task information.

Trigger

This skill MUST be called at the start of every conversation turn (every user message you respond to — see AGENTS.md Mandatory Workflow). It is a hard gate — no user request is processed until skill-tracker has run.

Skip condition: If the current conversation turn does NOT involve calling any tool AND does NOT match any skill (i.e., the response is pure text with no tool invocations and no skill is triggered), do NOT append a record to the tracking file. Simply skip recording for this turn.

Record condition: A record MUST be appended when either of the following is true:

  • Any tool is invoked during this turn (regardless of whether a skill is matched), OR
  • Any skill (excluding skill-tracker itself) is matched/triggered during this turn.

JSON Tracking File

Records are stored in: workspace/tracker-result/skill-execution.jsonl (one JSON record per line, append-only)

Rules

  1. Append-only: Never delete or modify existing lines in the file. Only append new lines. Never remove or overwrite existing lines.
  2. One record per conversation turn: Each user message you respond to produces at most ONE new line appended to the file.
  3. Do NOT track itself: The skill-tracker skill's own execution must NOT be recorded in the skills or tasks arrays. It is infrastructure, not a tracked skill. Only record other skills that were matched and executed during this turn.
  4. No tool call AND no skill match = no record: If this turn does not involve any tool invocation AND does not match any skill, skip recording entirely. Do not append a record. If either a tool is called OR a skill is matched, a record MUST be appended.

Record Structure

{
  "sessionId": "string",
  "turnId": "string",
  "turnName": "string (summary name for this turn, concisely describing all sub-tasks in this turn)",
  "timestamp": "ISO8601",
  "messages": [
    {
      "role": "user|assistant",
      "content": "string (the message content)",
      "timestamp": "ISO8601"
    }
  ],
  "skills": [
    {
      "name": "string",
      "description": "string"
    }
  ],
  "tasks": [
    {
      "id": "task-1",
      "name": "string",
      "skill": "string",
      "taskType": "instant|scheduled",
      "scheduledName": "string or null",
      "detail": "string (30-150 chars, summarize the task context and purpose; if there is a likely next step, append 1-2 sentences describing it)",
      "status": "pending|running|completed|failed",
      "output": "string or null",
      "startedAt": "ISO8601 or null",
      "endedAt": "ISO8601 or null",
      "error": "string or null"
    }
  ],
  "artifacts": [
    {
      "taskId": "task-1",
      "fileName": "example.md",
      "fileSize": 1234,
      "absolutePath": "/home/node/.openclaw/workspace/tracker-result/example.md"
    }
  ]
}

Notes:

  • sessionId identifies the session; turnId identifies the specific conversation turn (e.g. turn-1, turn-2, ...).
  • turnName is a concise summary name for the entire turn, summarizing all sub-tasks (e.g. "Check weather in London", "Plan weekend trip itinerary"). Keep it short and descriptive.
  • messages is an array of chat messages for this turn. Each entry has role ("user" for user input, "assistant" for AI reply), content (the message text), and timestamp (ISO8601). Record the user's input when creating the initial record; add the assistant's reply when updating after execution.
  • skills is an array — a single turn may match multiple skills.
  • Each task has a skill field linking it to the skill it belongs to.
  • artifacts is optional. Only include if there are output files generated by the skill.
  • Each artifact has a taskId field linking it to the task that produced it (matches the task's id field).

Task Fields

  • taskType: Either "instant" or "scheduled".

- "instant" — The task is triggered by a direct user request in the current conversation. - "scheduled" — The task is triggered by a scheduled/timed mechanism (e.g. heartbeat, cron job, recurring check). Determine this from the conversation context, trigger source, and execution metadata.

  • scheduledName: If taskType is "scheduled", populate with the name/label of the scheduled task (e.g. "heartbeat", "daily-email-check", the cron label, etc.). If taskType is "instant", set to null.
  • detail: A summary of 30–150 characters describing the task's context, cause, and purpose. This should help the user quickly understand what the task is about and why it was executed. If there is a likely next step to be executed after this task, append 1–2 sentences describing it; if there is no next step, do not append anything.

Workflow

1. Before Responding to Any User Message

  1. Determine whether this turn will involve any tool calls OR match any skill. If neither, skip recording and proceed directly.
  2. Analyze the user's message to determine if any skill matches (excluding skill-tracker itself).
  3. Create one record with sessionId, turnId, timestamp, matched skills, and initial tasks (including taskType, scheduledName, and detail).
  4. Append this record as a new line to workspace/tracker-result/skill-execution.jsonl (create the directory if it doesn't exist).

2. After Skill Execution Completes

Once the matched skill finishes executing within this turn:

  1. Read the file, find the last line (this turn's record).
  2. Update task statuses to "completed" or "failed", fill in endedAt, output, error.
  3. Add artifacts if any output files were generated.
  4. Replace the last line with the updated record and write the file back.

This final update only touches the current turn's line (the last line). All prior lines remain untouched.

Usage

This skill operates completely silently during execution — it must NEVER interfere with, delay, or alter the normal reply content to the user.

Output rule: After the record is saved, append a short Deck reminder as the very last line of your reply (after all normal content). The reminder must be separated from the main reply by a blank line. It should feel like a subtle footer, not part of the answer itself.

Language rule: The reminder line MUST be written in the same language the user used in their message.

Do NOT:

  • Put the Deck reminder before or inside your main reply
  • Let skill-tracker processing delay or affect the quality of your response
  • Mention skill-tracker internals, JSON structure, or file paths to the user

Deck URL Detection (mandatory, every turn)

Every time a record is saved, you MUST run the following shell command to detect the Deck URL in real time. The port is NOT fixed — do NOT cache, hardcode, or reuse a previous result. Always execute the command fresh.

pm2 jlist 2>/dev/null | node -e "
  let d='';process.stdin.on('data',c=>d+=c);process.stdin.on('end',()=>{
    try{const l=JSON.parse(d);const f=l.find(p=>p.name==='deck-backend'&&p.pm2_env&&p.pm2_env.status==='online');
    if(f){
      const cwd=f.pm2_env.pm_cwd||'';
      const path=require('path');
      const fs=require('fs');
      let port='19520';
      try{const envFile=fs.readFileSync(path.join(cwd,'.env'),'utf8');const m=envFile.match(/^PORT\s*=\s*(\d+)/m);if(m)port=m[1];}catch(e){}
      const publicIp=(require('child_process').execSync('curl -s --connect-timeout 3 ifconfig.me 2>/dev/null').toString()||'').trim();
      if(publicIp){
        const http=require('http');
        const req=http.get('http://'+publicIp+':'+port+'/',{timeout:3000},res=>{
          console.log('http://'+publicIp+':'+port);process.exit(0);
        });
        req.on('error',()=>{console.log('http://localhost:'+port);process.exit(0);});
        req.on('timeout',()=>{req.destroy();console.log('http://localhost:'+port);process.exit(0);});
      }else{console.log('http://localhost:'+port);process.exit(0);}
    }else{process.exit(1)}}catch(e){process.exit(1)}})
"

Behavior:

  1. Find the deck-backend process (not deck-frontend) in PM2.
  2. Read the backend .env file to detect the PORT (default 19520).
  3. Get the public IP and try to access http://<public_ip>:<port>/. If reachable, use the public URL; otherwise fall back to http://localhost:<port>.
  4. Command succeeds → append the URL to the reminder, using the user's language. Examples:

- English user: "📋 Task recorded — view details in Deck: [Deck](http://103.126.92.85:19520)"

  1. Command fails (process not found, not online, pm2 not installed, etc.) → skip the URL silently, using the user's language. Examples:

- English user: "📋 Task recorded — check the Deck for details."

Do not expose internal JSON structure or file paths to the user.

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

91.02%
按下载量换算3,154

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

未展示

权限和风险

可写文件

该 Skill 可能写入或修改本地文件,使用前需要确认目标目录和修改范围。

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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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