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Agent Skill · AI 工具

claude-code-telemetry-enable(Claude 代码 telemetry enable)

claude-code-telemetry-enable 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。

claude-code-telemetry-enable 是AI 工具类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证为 MIT,第三方扫描有未通过项,按安装量在AI 工具类的 2,536 个 Skill 里排第 1,977。

总安装 376周安装 16GitHub Stars 9下载 132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

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:claude-code-telemetry-enable(Claude 代码 telemetry enable)
来源仓库:https://github.com/adaptationio/skrillz
仓库路径:skills/claude-code-telemetry-enable
安装命令:
npx skills add https://github.com/adaptationio/skrillz --skill claude-code-telemetry-enable
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 claude-code-telemetry-enable

这个 Skill 是做什么的

AI 工具类 Skill 用来扩展助手本身的能力,例如接模型、接检索、接外部服务。

claude-code-telemetry-enable 启用 OpenTelemetry 遥测,向观测平台发送指标、日志与追踪数据。适用于已部署 LGTM 或 Railway 等监控系统的团队,实现 Claude Code 运行洞察。整理内容包括令牌用量、会话计数、工具性能、API 请求及错误详情。

配置前请确认观测后端地址与认证信息,防止敏感数据泄露到不可信端点。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/claude-code-telemetry-enable

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 Codex、Claude、Cursor、Gemini CLI;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 npx skills add https://github.com/adaptationio/skrillz --skill claude-code-telem…;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

    它需要接触敏感数据,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

claude-code-telemetry-enable 怎么安装?

在终端执行 npx skills add https://github.com/adaptationio/skrillz --skill claude-code-telemetry-enabl…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

claude-code-telemetry-enable 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。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。

claude-code-telemetry-enable 需要什么权限?

权限级别是接触敏感数据。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。

claude-code-telemetry-enable 是免费的吗?

来源标注的许可证是 MIT。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。

claude-code-telemetry-enable 用的人多吗?

公开数据是累计安装 376 次,近一周安装 16 次,下载 132 次,GitHub 9 星。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。

claude-code-telemetry-enable 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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 Codex,想直接扩展它能力的人。
  • 需要处理AI 工具类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

AI 工具类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
executing-plans

执行计划 · Codex、Claude

1,515,336173,110只读MIT通过
verification-before-completion

完成前的验证 · Codex、Claude

1,319,472173,121权限未标注MIT通过
subagent-driven-development

子 Agent 驱动开发 · Codex、Claude

1,312,416173,138只读MIT通过
copy-editing

复制编辑 · Codex、Claude

1,209,57625,632只读MIT通过
paywall-upgrade-cro

付费专区升级 cro · Codex、Claude

1,030,17625,617只读MIT通过
claude-code-telemetry-enable

Claude 代码 telemetry enable · 本页

3769接触敏感数据MIT未通过

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

Claude Code Telemetry Enable

Enable OpenTelemetry telemetry in Claude Code to send metrics, logs, and traces to your observability stack (local LGTM or Railway).

When to Use

  • After deploying observability stack (observability-stack-setup)
  • Need to enable Claude Code monitoring
  • Want to configure telemetry for local or cloud backends
  • Need to verify telemetry connectivity

What This Skill Does

Creates Claude Code environment configuration files that enable:

  • Metrics: Token usage, costs, session counts, tool performance
  • Logs: User prompts (full content), tool results, API requests/errors
  • Traces: Session flows, tool execution spans, API call traces

Privacy Note: Configured for FULL LOGGING (no redactions) per your requirements.

Quick Start

For Local Stack

# After running observability-stack-setup
# Invoke this skill with:
enable-local

# Claude Code will now send telemetry to localhost:4317

For Railway Stack

# After deploying to Railway
# Invoke this skill with:
enable-railway --endpoint https://your-alloy.railway.app:443

# Claude Code will send telemetry to Railway

Operations

enable-local

Configure Claude Code for local LGTM stack.

Creates: ~/.config/claude-code/.env.telemetry

Configuration:

CLAUDE_CODE_ENABLE_TELEMETRY=1
OTEL_METRICS_EXPORTER=otlp
OTEL_LOGS_EXPORTER=otlp
OTEL_EXPORTER_OTLP_PROTOCOL=grpc
OTEL_EXPORTER_OTLP_ENDPOINT=http://localhost:4317

# Fast export (for development)
OTEL_METRIC_EXPORT_INTERVAL=10000  # 10 seconds
OTEL_LOGS_EXPORT_INTERVAL=5000     # 5 seconds

# FULL LOGGING (no privacy restrictions)
OTEL_LOG_USER_PROMPTS=1
OTEL_METRICS_INCLUDE_SESSION_ID=true
OTEL_METRICS_INCLUDE_VERSION=true
OTEL_METRICS_INCLUDE_ACCOUNT_UUID=true

enable-railway

Configure Claude Code for Railway-hosted LGTM stack.

Parameters:

  • --endpoint: Railway Alloy OTLP endpoint URL
  • --token: (Optional) Railway authentication token

Example:

enable-railway \
  --endpoint https://your-alloy-abc123.railway.app:443 \
  --token your-railway-token

Creates: ~/.config/claude-code/.env.telemetry with Railway endpoint

enable-custom

Configure for custom OTLP endpoint (Grafana Cloud, DataDog, etc.).

Parameters:

  • --endpoint: OTLP endpoint URL
  • --protocol: grpc or http (default: grpc)
  • --headers: Authentication headers (e.g., "Authorization=Bearer token")

Example:

enable-custom \
  --endpoint https://otlp.grafana.net:443 \
  --protocol grpc \
  --headers "Authorization=Basic base64encodedcreds"

verify

Test telemetry configuration and connectivity.

Checks:

  1. Configuration file exists
  2. Required environment variables set
  3. OTLP endpoint reachable
  4. Test telemetry successfully sent
  5. Data visible in backend (Grafana/Loki/Prometheus/Tempo)

Output:

Telemetry Configuration Check:
✅ Config file: ~/.config/claude-code/.env.telemetry
✅ CLAUDE_CODE_ENABLE_TELEMETRY=1
✅ OTLP endpoint: localhost:4317
✅ Endpoint reachable
✅ Test span sent successfully
✅ Data visible in Grafana

Status: HEALTHY - Telemetry fully operational

disable

Turn off telemetry completely.

Actions:

  1. Renames .env.telemetry to .env.telemetry.disabled
  2. OR sets CLAUDE_CODE_ENABLE_TELEMETRY=0

Re-enable: Rename file back or use enable-local / enable-railway again

status

Show current telemetry configuration.

Output:

Telemetry Status:
  State: ENABLED
  Endpoint: http://localhost:4317
  Protocol: gRPC
  Privacy: FULL LOGGING (all data captured)
  Export Intervals: Metrics 10s, Logs 5s

  Captured Data:
    - User prompts (full content)
    - Tool executions (all tools)
    - API requests (tokens, cost, latency)
    - Session metadata (IDs, version, account)

Configuration Details

Environment Variables

Essential:

  • CLAUDE_CODE_ENABLE_TELEMETRY: 1 to enable, 0 to disable
  • OTEL_EXPORTER_OTLP_ENDPOINT: OTLP endpoint URL
  • OTEL_EXPORTER_OTLP_PROTOCOL: grpc or http

Exporters:

  • OTEL_METRICS_EXPORTER: otlp (send metrics via OTLP)
  • OTEL_LOGS_EXPORTER: otlp (send logs via OTLP)

Export Intervals:

  • OTEL_METRIC_EXPORT_INTERVAL: Milliseconds between metric exports (default: 60000)
  • OTEL_LOGS_EXPORT_INTERVAL: Milliseconds between log exports (default: 5000)

Privacy Controls (configured for FULL logging):

  • OTEL_LOG_USER_PROMPTS: 1 = log full prompt content, 0 = log length only
  • OTEL_METRICS_INCLUDE_SESSION_ID: true = include session IDs in metrics
  • OTEL_METRICS_INCLUDE_VERSION: true = include Claude Code version
  • OTEL_METRICS_INCLUDE_ACCOUNT_UUID: true = include account identifier

Authentication (for cloud backends):

  • OTEL_EXPORTER_OTLP_HEADERS: Headers for authentication (e.g., "Authorization=Bearer token")

What Gets Captured

Metrics (counters, gauges, histograms):

  • claude_code.session.count - Session frequency
  • claude_code.token.usage - Token consumption (input + output)
  • claude_code.cost.usage - API costs in USD
  • claude_code.code_edit_tool.decision - Accept/reject patterns
  • claude_code.active_time.total - Engagement duration (seconds)
  • claude_code.pull_request.count - PR creation count
  • claude_code.commit.count - Git commit count

Log Events (structured JSON):

  1. claude_code.user_prompt - User prompt submissions (full content)
  2. claude_code.tool_result - Tool execution outcomes (tool name, status, duration)
  3. claude_code.api_request - Claude API calls (model, tokens, cost, latency)
  4. claude_code.api_error - Failed API requests (status codes, retry attempts)
  5. claude_code.tool_decision - Permission decisions (approved/rejected)

Traces (distributed tracing):

  • Session traces: Complete conversation workflows
  • Tool call spans: Read, Write, Edit, Bash, Glob, Grep, Task, etc.
  • Agent task spans: Parallel agent execution
  • API request spans: Claude API latency breakdown

Retention

All data stored for 365 days (configured in observability stack).

File Locations

Configuration File:

  • Linux/WSL: ~/.config/claude-code/.env.telemetry
  • macOS: ~/.config/claude-code/.env.telemetry
  • Windows: %USERPROFILE%\.config\claude-code\.env.telemetry

Managed Settings (organization-enforced, optional):

  • Linux: /etc/claude-code/managed-settings.json
  • macOS: /Library/Application Support/ClaudeCode/managed-settings.json
  • Windows: C:\ProgramData\ClaudeCode\managed-settings.json

Troubleshooting

Telemetry Not Appearing in Grafana

Check 1: Is telemetry enabled?

cat ~/.config/claude-code/.env.telemetry
# Should show CLAUDE_CODE_ENABLE_TELEMETRY=1

Check 2: Is OTLP endpoint reachable?

curl -v http://localhost:4317
# Should connect (may get empty response, that's ok)

Check 3: Is observability stack running?

docker compose -f .observability/docker-compose.yml ps
# All 5 services should be "running"

Check 4: Use Claude Code and check immediately

# After using Claude Code, query Loki:
curl -s 'http://localhost:3100/loki/api/v1/query?query={job="claude_code"}' | jq .
# Should show recent logs

Port Already in Use (4317)

If another service is using port 4317:

Option 1: Stop the conflicting service

sudo lsof -i :4317
sudo kill <PID>

Option 2: Change Alloy port in observability stack Edit .observability/docker-compose.yml:

ports:
  - "4318:4317"  # Expose on 4318 instead

Then update telemetry config:

OTEL_EXPORTER_OTLP_ENDPOINT=http://localhost:4318

Permission Denied

If configuration file creation fails:

# Create directory manually
mkdir -p ~/.config/claude-code
chmod 755 ~/.config/claude-code

# Try again

Next Steps

After enabling telemetry:

  1. Use Claude Code: Run tools (Read, Write, Bash, etc.)
  2. Generate telemetry: Each operation sends data
  3. View in Grafana: Open http://localhost:3000
  4. Check dashboards: Navigate to "Claude Code Overview"
  5. Verify metrics: See token usage, costs, tool calls

References

  • references/env-telemetry-local.txt - Local configuration template
  • references/env-telemetry-railway.txt - Railway configuration template
  • references/env-telemetry-custom.txt - Custom endpoint template
  • references/telemetry-variables.md - All environment variables explained
  • references/privacy-settings.md - Privacy configuration options

Scripts

  • scripts/enable-local.sh - Enable for local stack
  • scripts/enable-railway.sh - Enable for Railway
  • scripts/verify-telemetry.sh - Test configuration and connectivity
  • scripts/disable-telemetry.sh - Turn off telemetry

平台分布

github-copilot

26.39%
按下载量换算35

Claude Code

25.72%
按下载量换算34

mcpjam

20.22%
按下载量换算27

moltbot

12.97%
按下载量换算17

windsurf

8.35%
按下载量换算11

zencoder

3.98%
按下载量换算5

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

Snyk

未通过

权限和风险

接触敏感数据

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。

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