codebase-archaeologist
codebase-archaeologist is a Codebase mapping & onboarding skill for AI agents, published by itsmeadarsh2008 in the backlit-kbd repository on GitHub. Skillspace rates codebase-archaeologist D (60/100) and it passed the safety scan; the rating is based on static analysis only.
A deep structural intelligence layer that builds and queries a living model of any codebase — its dependency graph, semantic index, git history, defect density, coupling patterns, and hidden invariants. ALWAYS activate when: starting work on an unfamiliar codebase, before any refactoring or architectural change, before touching files that have a history of instability, when asked "what will break if I change X", or when the task requires understanding how parts of the system relate to each other. This skill transforms Mirage from an agent that reads files to one that understands systems. It is the structural memory layer — where adaptive-mind is episodic memory of what happened, codebase-archaeologist is semantic memory of what exists and how it connects.
- Grade
- D
- Quality
- 60 / 100
- Safety
- Passed
- GitHub stars
- 27
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
- 73 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 1 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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