reverse-engineering
reverse-engineering is a Codebase mapping & onboarding skill for AI agents, published by pssah4 in the digital-innovation-agents repository on GitHub. Skillspace rates reverse-engineering F (43/100) and it passed the safety scan; the rating is based on static analysis only.
Brownfield entry point for the V-Model workflow. Reverse-engineers an existing codebase into the standard V-Model artifacts: plan-context.md, ADRs, arc42 snapshot, FEATURE inventory, backlog seed, and an evidence-based BA draft. Walks the V backwards from Coding up to Business Analysis, filling every step only with what can be proven from the code or the existing documentation. Every claim is sourced (path:line or doc section); nothing is invented. Use this skill when the user mentions "existing project", "legacy codebase", "reverse engineer", "import existing code", "brownfield", "we already have code", "onboard existing project", or when the user wants to enter the V-Model workflow but artifacts do not exist yet.
- Grade
- F
- Quality
- 43 / 100
- Safety
- Passed
- GitHub stars
- 34
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
- 55 / 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
- 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
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