Overview
- Skill Key
- gakkiismywife/trace-debuger
- Author
- gakkiismywife
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/gakkiismywife/trace-debuger
- Latest Commit SHA
- 4e79d7cdc57eff2aeeef50dc7a2192af490e0098
End-to-end trace debugging from trace_id. Fetch Jaeger trace and Elasticsearch logs, analyze possible bugs (optionally with local repository context), and generate a fixed-structure Markdown report for CI or tickets.
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Installs
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Status
ACTIVE
Visibility
PUBLIC
直接复制以下提示词,发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 trace-debuger 技能。 若已安装,则直接安装 trace-debuger 技能。
# Trace Debuger
Use this skill to generate a self-contained Markdown trace debug report.
## Inputs
- `trace_id` (required)
- `jaeger_url` (optional, default `http://127.0.0.1:16686`)
- `es_url` (optional, default `http://127.0.0.1:9200`)
- `repo_path` (optional, absolute path, default `/Users/noodles/Desktop/code/go-components/examples/tracer`)
- `output_path` (optional, default `./trace_debug_report_{trace_id}.md`)
- `es_index` (optional, default `filebeat-tracer-*`)
- `es_size` (optional, default `2000`)
## Run
```bash
python3 skills/trace_debuger/scripts/trace_debuger.py \
--trace-id <TRACE_ID> \
[--jaeger-url http://127.0.0.1:16686] \
[--es-url http://127.0.0.1:9200] \
[--repo-path /Users/noodles/Desktop/code/go-components/examples/tracer] \
[--output-path ./trace_debug_report_<TRACE_ID>.md]
```
## Output
- Writes Markdown report to `output_path`
- **MUST send the generated Markdown report to the user as a file attachment via the chat window in the same session before finishing the task**
- **MUST send the report as ONE chat message only: attach the Markdown file and put the strict summary block in the same message caption/body.**
- **`【markdown报告文件】` is a placeholder and MUST be replaced with the real uploaded Markdown filename (example: `trace_debug_report_<trace_id>.md`).**
- **Use exactly this format in caption/body:**
```text
<真实markdown报告文件名>
trace_id: xxxx
status: xxx
jaeger_url: xxx
es_url: xxx
代码仓库路径:仓库路径
关键结论摘要:xxxx
```
- Prints fixed summary lines to stdout:
```text
trace_id: <trace_id>
status: SUCCESS/FAIL
jaeger_url: <jaeger_url>
es_url: <es_url>
代码仓库路径:<repo_path|N/A>
关键结论摘要:<summary>
```
## Notes
- Keep logs sorted by timestamp ascending.
- After fetching ES logs, run Codex in repository root (automated via `codex exec` equivalent to TUI paste workflow) with this prompt:
- `这是我的日志,请根据日志结合代码帮我排查分析bug,输出bug原因及解决方案,必须保持固定的格式。`
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