discover-systems-theory
discover-systems-theory is a Skill discovery & installation skill for AI agents, published by rand in the cc-polymath repository on GitHub. Skillspace rates discover-systems-theory C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Automatically discover eBPF, compiler, programming language theory, information retrieval, and formal verification skills when working with kernel tracing, parsers, type systems, Z3, Lean, or theorem proving
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 115
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
- Basic: a single SKILL.md
- 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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