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Tracing
作者
mikeclaw007
· GitHub ↗
· v1.0.0
· MIT-0
151
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install tracing
功能描述
Deep distributed tracing workflow—instrumentation boundaries, context propagation, sampling, tail-based analysis, service maps, and using traces for latency...
安全使用建议
This skill is a text-only workflow for designing and operating distributed tracing; it does not request credentials or install code. Before using: ensure the recommendations align with your org's privacy and compliance requirements (PII redaction, retention policies), and map the guidance to the specific telemetry vendors and libraries you run. If you want the agent to act autonomously with this skill, be aware the platform allows autonomous invocation by default — that’s normal for skills but you should only enable it if you trust automated recommendations in your environment.
功能分析
Type: OpenClaw Skill
Name: tracing
Version: 1.0.0
The skill bundle contains purely educational and procedural documentation for implementing distributed tracing workflows (OpenTelemetry). There is no executable code, no network requests, and no instructions that would lead to data exfiltration or unauthorized access in SKILL.md or _meta.json.
能力评估
Purpose & Capability
Name/description (deep distributed tracing) match the SKILL.md content: a six-stage workflow for instrumentation, propagation, sampling, analysis, and governance. Nothing in the metadata or instructions requests unrelated capabilities (no cloud creds, no platform-specific secrets).
Instruction Scope
SKILL.md contains advisory guidance, questions to ask, and checklists for implementing tracing. It does not instruct the agent to read local files, environment variables, or send data to external endpoints, nor does it ask for credentials or system access. Instructions are narrowly scoped to tracing practices.
Install Mechanism
No install spec or code files — instruction-only. That minimizes disk writes and execution risk. No downloads or package installs are referenced.
Credentials
Requires no environment variables, credentials, or config paths. The guidance mentions common tracing systems (Jaeger, X-Ray, OpenTelemetry) but does not require tokens or keys for any vendor — proportional to an advisory skill.
Persistence & Privilege
Skill is not always-enabled and is user-invocable. It does not request persistent presence or attempt to modify other skills or agent-wide settings. Autonomous invocation is allowed by platform default but not combined with other concerning privileges.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install tracing - 安装完成后，直接呼叫该 Skill 的名称或使用
/tracing触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
- Initial release of deep distributed tracing workflow guidance.
- Covers six stages: goal-setting, instrumentation planning, context propagation, sampling, analysis, and governance/cost.
- Includes actionable checklists, trigger conditions, and best practices for OpenTelemetry, context propagation, and sampling strategy.
- Provides guidance for service maps, latency debugging, and handling high cardinality and PII.
- Offers tips on avoiding vendor lock-in, tracing in monoliths, and crisis management for trace signal/cost.
元数据
常见问题
Tracing 是什么？
Deep distributed tracing workflow—instrumentation boundaries, context propagation, sampling, tail-based analysis, service maps, and using traces for latency... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 151 次。
如何安装 Tracing？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install tracing」即可一键安装，无需额外配置。
Tracing 是免费的吗？
是的，Tracing 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Tracing 支持哪些平台？
Tracing 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Tracing？
由 mikeclaw007（@mikeclaw007）开发并维护，当前版本 v1.0.0。
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