reverse-engineer

reverse-engineer is a Codebase mapping & onboarding skill for AI agents, published by AI-Unified-Process in the marketplace repository on GitHub. Skillspace rates reverse-engineer F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.

Reverse-engineers an existing software project into AI Unified Process artifacts: a PlantUML use case diagram, per-use-case specification documents, and an entity model with a Mermaid ER diagram. Use when the user asks to "reverse engineer this codebase", "extract use cases from existing code", "document the system we already have", "generate use case specs from controllers", "derive an entity model from the database", "create AIUP artifacts from a legacy project", or mentions reverse engineering, legacy documentation, or onboarding an inherited codebase. Trigger this skill whenever a user wants to produce use cases, an ER diagram, or a use case diagram from code that already exists rather than from a fresh vision document — even if they don't say "reverse engineer" explicitly.

Grade
F
Quality
45 / 100
Safety
Risky
GitHub stars
93

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.

Our review

Architecture
73 / 100
Maturity
Structured: ships references or scripts
Security scan
High-risk patterns
License
Apache-2.0
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • prompt-injection: ignore-previous

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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