codegraph
codegraph is a Codebase mapping & onboarding skill for AI agents, published by idaholab in the moose repository on GitHub. Skillspace rates codegraph D (59/100) and it passed the safety scan; the rating is based on static analysis only.
Use CodeGraph to navigate MOOSE and avoid reinventing functionality it already has (MOOSE's "use existing functionality, don't reimplement it" rule - AGENTS.md, Simplicity First). Use this whenever writing or changing MOOSE C++/Python - before adding a new function, class, material, kernel, action, or utility - to check whether MOOSE, libMesh, MetaPhysicL, or MathUtils already provides it; to find the call sites and blast radius of a change; or to compare a new object against an existing sibling. CodeGraph is preferred but optional here: if the index is absent, fall back to grep/Read and suggest setting it up rather than blocking.
- Grade
- D
- Quality
- 59 / 100
- Safety
- Passed
- GitHub stars
- 2,346
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 84 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.