searching-codebases
searching-codebases is a Codebase mapping & onboarding skill for AI agents, published by oaustegard in the claude-skills repository on GitHub. Skillspace rates searching-codebases D (67/100) and it passed the safety scan; the rating is based on static analysis only.
Binding-resolved Python symbol queries — find all true callers (--refs), go-to-definition (--def), or inferred signature (--hover) of a .py symbol via pyright, excluding same-named false positives that text grep cannot. Use when a task needs ALL callers/users of a Python symbol or its real definition and text matching would over-match. For everything else — literal tokens, regex patterns, concept/natural-language search, any repo size — plain ripgrep is faster and equally accurate: measured 2026-07-04 on real issue-localization tasks, the semantic and indexed-regex tiers tied or lost against naive rg at 4-60x the wall-clock cost. Those tiers remain available below but are NOT recommended as a default.
- Grade
- D
- Quality
- 67 / 100
- Safety
- Passed
- GitHub stars
- 129
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
- 76 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked 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
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