project-teardown
project-teardown is a Codebase mapping & onboarding skill for AI agents, published by Yirzzzz in the project-teardown-skill repository on GitHub. Skillspace rates project-teardown C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Progressively break down software projects, Agent systems, RAG systems, backend systems, and mature open-source projects. The first output should provide only a global overview and save it as a Markdown document; subsequent outputs should progressively dive deeper into dimensions such as concurrency, caching, data storage, RAG, context, memory, tool calling, async tasks, observability, permissions, multi-user isolation, middleware, configuration management, deployment boundaries, evaluation, and scaling bottlenecks. Suitable for users who want to move from a research perspective toward an Agent / backend / system architecture perspective.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 29
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
- 100 / 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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