codexqa-rootcause-analyzer skillA
This file is byte-identical to the first copy the registry indexed. Same content hash, same audit grade.
codexqa-rootcause-analyzer is agent-read markdown (skill) from openqa-cn/openqa-skills: Diagnoses exception root causes from stack traces, logs, call-chain dumps, and debug output using the CodexQA CLI for structured repo analysis. Use when the user mentions codexqa-rootcause-analyzer, exception RCA, crash analysis, AI code diagnosis, stack diagnosis, 异常根因, 堆栈诊断, 崩溃分析, 异常诊断, or asks to turn an exception into a root-cause report. Not structure/impact analysis (that is codexqa-code-analyzer), not SAST + Agent LLM Detection code-risk scan reports (that is codexqa-defect-analyzer), and.
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# Root Cause Diagnosis
Turns exception evidence into an **English** root-cause report. Structured understanding of the business codebase comes from the CodexQA CLI; this skill diagnoses **on top of** that analysis.
CLI: `node {baseDir}/scripts/diagnose.ts` (`$SKILL_SCRIPT`). Task data: `{baseDir}/data/{taskId}/`.
`README.md` / `README.zh-CN.md` / `HOW_IT_WORKS.md` / `KNOWN_LIMITATIONS.md` (and their `.zh-CN` twins) are human-facing. Do not load them at runtime.
## Boundaries
| Need | Skill |
|---|---|
| Symbol-graph change impact, callers, test gaps, entry risk | `codexqa-code-analyzer` |
| Exception RCA from stacks/logs on top of CLI analysis | **this skill** |
| SAST + Agent LLM Detection → `report_scan.*` | `codexqa-defect-analyzer` |
| CodexQA evidence-pack + Agent LLM judgment → bilingual `REVIEW-REPORT.html` | `codexqa-code-reviewer` |
## Split of work
| Layer | Owns |
|---|---|
| TypeScript (`draft-report`) | First-level English headings, extracted facts (`facts.json`), mechanical `storyGaps` |
| Model | Report narrative inside those headings, using only cited facts |
…Read the whole file at its exact version.
How to install
mdr add openqa-cn/openqa-skills/codexqa-rootcause-analyzer@v0.0.1mdr add openqa-cn/openqa-skills/codexqa-rootcause-analyzer@sha256:db3857e16a14e267Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_hpzp7zubkpgvw6et)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v0.0.1 latest | 2026-09-21 | 6212b9b | 10,452 B | A | view · diff |
| v0.0.1 | 2026-09-21 | 32a4af3 | 10,436 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (10452 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
openqa-cn/openqa-skills · 8 stars · license Apache-2.0 · pushed 2026-09-23 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_hpzp7zubkpgvw6et GET https://markdownregistry.com/api/v1/resolve?ref=openqa-cn/openqa-skills/codexqa-rootcause-analyzer GET https://markdownregistry.com/api/v1/blob/db3857e16a14e267ed7b58592c379086e641a37c9068fb17fe27f98bc7b1124b
Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
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