codegraph SKILL.md skillA

codegraph from qwenlm/qwen-code is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add qwenlm/qwen-code/codegraph@git:20260513.fd53527

Pins git:20260513.fd53527 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
qwenlm/qwen-code
Path
.qwen/skills/codegraph/SKILL.md
Versions recorded
2
Latest version
git:20260513.fd53527, committed May 13, 2026
First version recorded
May 11, 2026
Size
37,147 bytes
Repository stars
28,983
License
Apache-2.0

Analyze indexed codebases via graph database (neug) and vector index (zvec). Covers call graphs, dependencies, dead code, hotspots, module coupling, architecture reports, semantic search, impact analysis, bug root cause from GitHub issues, class diagrams (UML), and PR review (risk scoring, conflict detection, auto-merge candidates, labeling). Also covers creating, inspecting, and repairing a CodeScope index. Use for: code structure, who calls what, why something changed, similar functions…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# CodeScope Q&A

CodeScope indexes source code into a two-layer knowledge graph — **structure** (functions, calls, imports, classes, modules) and **evolution** (commits, file changes, function modifications) — plus **semantic embeddings** for every function. Supports **Python, JavaScript/TypeScript, C, and Java** (including Hadoop-scale repositories with 8K+ files). This combination enables analyses that grep, LSP, or pure vector search cannot do alone. It can also **fetch GitHub issues and trace bugs to code**, and **review open PRs** — scoring per-PR risk, detecting cross-PR conflicts, identifying auto-merge candidates, and applying GitHub labels.

## When to Use This Skill

- User asks about call chains, callers, callees, or dependencies
- User wants to find dead code, hotspots, or architectural layers
- User asks about code history, who changed what, or why something was modified
- User wants to find semantically similar functions across a codebase
- User wants a full architecture analysis or report
- User asks about module coupling, circular dependencies, or bridge functions
- User wants to index or analyze a Java project (Maven, Gradle, plain Java)
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add qwenlm/qwen-code/codegraph@sha256:06c2be5949acb8d7

The line at the top of this page pins the label git:20260513.fd53527, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_jyus4gxvmgg7ytwi.svg)](https://markdownregistry.com/a/art_jyus4gxvmgg7ytwi)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 2 versions of this file, between May 11, 2026 and May 13, 2026, about one every 2 days.

versioncommittedcommitsizeaudit
git:20260513.fd53527 latest2026-05-13 fd53527 37,147 BA view · diff
git:20260511.28a34392026-05-11 28a3439 30,442 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (37147 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

GitHub

qwenlm/qwen-code · 28,983 stars · license Apache-2.0 · pushed 2026-11-04 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_jyus4gxvmgg7ytwi
GET https://markdownregistry.com/api/v1/resolve?ref=qwenlm/qwen-code/codegraph
GET https://markdownregistry.com/api/v1/blob/06c2be5949acb8d77e5b013314ad3f6e001894f765d464ddb38f1073cb33f5d0

Your AI assistant 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.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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Every file in qwenlm/qwen-code

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