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enhanced-telemetry增强遥测

Agent Skill

enhanced-telemetry 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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

441

周安装

18

GitHub Stars

9

下载量

143
CodexClaudeCursorGemini CLI

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

3

许可证

MIT

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:enhanced-telemetry(增强遥测)
来源仓库:https://github.com/adaptationio/skrillz
仓库路径:skills/enhanced-telemetry
安装命令:
npx skills add https://github.com/adaptationio/skrillz --skill enhanced-telemetry
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/adaptationio/skrillz --skill enhanced-telemetry

简介

用于全面捕获 Claude Code 会话与工具调用指标,提供深度可观测性。

  • 适合在需要监控会话生命周期、工具性能或响应模式时使用,超越默认 OTEL 遥测。
  • 整理内容包括会话起止、时长、来源、终止原因、工具频率、错误率与 token 消耗。
  • 可用于性能调优、异常检测与资源规划,支持长期趋势分析与容量预测。
  • enhanced-telemetry 属于AI 工具类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Enhanced Telemetry v2

Captures comprehensive Claude Code metrics via ALL 10 available hooks, providing deep observability beyond default OTEL telemetry.

What It Captures

Session Analytics

  • Session lifecycle (start/end)
  • Session duration
  • Session source (startup/resume/clear/compact)
  • Session termination reason
  • Permission mode

Conversation Analytics

  • Turn count per session
  • Prompt patterns (question/debugging/creation/ultrathink)
  • Prompt length and token estimates
  • Conversation style distribution

Tool Analytics

  • Tool call frequency
  • Tool sequences (previous → current)
  • Tool error rates
  • Response sizes and token estimates
  • File types accessed

Subagent Analytics

  • Subagents spawned per session
  • Subagent types (Explore, Plan, general-purpose, etc.)
  • Subagent completion tracking

Context Analytics

  • Estimated token usage
  • Context window utilization percentage
  • Context compaction events (manual vs auto)
  • Token accumulation tracking

Repository Analytics

  • Activity per repository
  • Tool usage by project
  • Branch-level tracking

Permission Analytics

  • Permission requests
  • Permission types
  • Notification tracking

10 Hooks Instrumented

HookEvent TypeWhat's Captured
SessionStartsession_startSource, permission mode, git info
SessionEndsession_endDuration, turns, tools, errors, subagents
UserPromptSubmituser_promptPattern, length, tokens, prompt hash
PreToolUsetool_callTool name, details, sequence position
PostToolUsetool_resultStatus, response size, errors
SubagentStopsubagent_completeSubagent count
PermissionRequestpermission_requestNotification type
PreCompactcontext_compactTrigger (manual/auto), token estimate
NotificationnotificationNotification type
Stopsession_endSame as SessionEnd

Configuration

Settings file: .claude/settings.json

{
  "hooks": {
    "SessionStart": ["python3 .claude/hooks/enhanced-telemetry.py SessionStart"],
    "SessionEnd": ["python3 .claude/hooks/enhanced-telemetry.py SessionEnd"],
    "UserPromptSubmit": ["python3 .claude/hooks/enhanced-telemetry.py UserPromptSubmit"],
    "PreToolUse": [{"matcher": ".*", "hooks": ["python3 .claude/hooks/enhanced-telemetry.py PreToolUse"]}],
    "PostToolUse": [{"matcher": ".*", "hooks": ["python3 .claude/hooks/enhanced-telemetry.py PostToolUse"]}],
    "SubagentStop": ["python3 .claude/hooks/enhanced-telemetry.py SubagentStop"],
    "PermissionRequest": ["python3 .claude/hooks/enhanced-telemetry.py PermissionRequest"],
    "PreCompact": ["python3 .claude/hooks/enhanced-telemetry.py PreCompact"],
    "Notification": ["python3 .claude/hooks/enhanced-telemetry.py Notification"],
    "Stop": ["python3 .claude/hooks/enhanced-telemetry.py Stop"]
  }
}

Viewing Data

Grafana Dashboards

LogQL Queries

# All enhanced telemetry
{job="claude_code_enhanced"} | json

# Session analytics
{job="claude_code_enhanced", event_type="session_end"} | json

# Tool calls
{job="claude_code_enhanced", event_type="tool_call"} | json

# Prompt patterns
sum by (pattern) (count_over_time({job="claude_code_enhanced", event_type="user_prompt"} | json [24h]))

# Skill usage
{job="claude_code_enhanced", event_type="skill_usage"} | json

# Context utilization
{job="claude_code_enhanced", event_type="context_utilization"} | json

# Tool sequences
{job="claude_code_enhanced", event_type="tool_call"} | json | line_format "{{.previous_tool}} → {{.tool_name}}"

# Subagent tracking
{job="claude_code_enhanced", event_type="tool_call", tool="Task"} | json

# Error analysis
{job="claude_code_enhanced", event_type="tool_result", status="error"} | json

# Context compaction
{job="claude_code_enhanced", event_type="context_compact"} | json

Event Schemas

session_start

{
  "event": "session_start",
  "session_id": "abc123",
  "source": "startup",
  "permission_mode": "default",
  "cwd": "/mnt/c/data/github/project",
  "timestamp": "2025-11-27T08:00:00Z",
  "git": {"repo_name": "project", "branch": "main"}
}

session_end

{
  "event": "session_end",
  "session_id": "abc123",
  "reason": "prompt_input_exit",
  "duration_seconds": 1847.5,
  "turn_count": 25,
  "tools_used": {"Read": 45, "Edit": 12, "Bash": 8},
  "tool_sequence": ["Read", "Edit", "Bash", "Read"],
  "subagents_spawned": 3,
  "error_count": 2,
  "timestamp": "2025-11-27T08:30:00Z"
}

user_prompt

{
  "event": "user_prompt",
  "turn_number": 5,
  "prompt_length": 256,
  "estimated_tokens": 64,
  "prompt_hash": "a1b2c3d4",
  "patterns": ["question", "debugging"],
  "timestamp": "2025-11-27T08:05:00Z"
}

tool_call

{
  "event": "tool_call",
  "tool_name": "Read",
  "tool_use_id": "xyz789",
  "tool_details": {"file_path": "/src/main.py", "file_type": ".py"},
  "sequence_position": 15,
  "previous_tool": "Glob",
  "timestamp": "2025-11-27T08:05:30Z"
}

tool_result

{
  "event": "tool_result",
  "tool_name": "Read",
  "tool_use_id": "xyz789",
  "response_length": 4500,
  "estimated_tokens": 1125,
  "is_error": false,
  "error_type": null,
  "timestamp": "2025-11-27T08:05:31Z"
}

context_utilization

{
  "event": "context_utilization",
  "estimated_session_tokens": 45000,
  "context_percentage": 22.5,
  "last_content_tokens": 5000,
  "turn_count": 15,
  "timestamp": "2025-11-27T08:10:00Z"
}

context_compact

{
  "event": "context_compact",
  "trigger": "auto",
  "has_custom_instructions": false,
  "session_turn_count": 45,
  "estimated_tokens_before": 180000,
  "timestamp": "2025-11-27T08:15:00Z"
}

Files

.claude/
├── hooks/
│   └── enhanced-telemetry.py       # Main telemetry script (v2)
├── settings.json                    # Hook configurations
└── skills/
    └── enhanced-telemetry/
        └── SKILL.md                 # This documentation

Requirements

  • Python 3.x (in PATH)
  • Loki running at localhost:3100
  • Claude Code hooks enabled

Troubleshooting

No Data in Dashboards

  1. Check hooks configured: cat.claude/settings.json | grep enhanced-telemetry
  2. Test script manually: echo '{"tool_name":"Test"}' | python3.claude/hooks/enhanced-telemetry.py PreToolUse
  3. Check Loki receiving data: curl -s "http://localhost:3100/loki/api/v1/labels" # Should include: event_type, tool, repo, pattern, etc.
  4. Check Loki has enhanced data: curl -s "http://localhost:3100/loki/api/v1/query?query={job=\"claude_code_enhanced\"}&limit=5"

Hooks Not Running

  • Ensure Claude Code started from project directory with .claude/settings.json
  • Check settings.json is valid JSON: python3 -m json.tool.claude/settings.json
  • Verify Python available: which python3

Script Errors

  • Check script permissions: chmod +x.claude/hooks/enhanced-telemetry.py
  • Test with debug output: Run script manually and check stderr

Integration with Other Skills

  • observability-analyzer: Uses {job="claude_code_enhanced"} queries
  • observability-pattern-detector: Detects patterns in enhanced data
  • observability-alert-manager: Alerts on enhanced telemetry events
  • skill-improvement-from-observability: Uses enhanced data for insights

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

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

github-copilot

31.16%
按下载量换算45

Claude Code

24.77%
按下载量换算35

mcpjam

15.98%
按下载量换算23

moltbot

11.29%
按下载量换算16

windsurf

8.15%
按下载量换算12

zencoder

3.31%
按下载量换算5

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。

来源信息

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