binary-analysis
binary-analysis is an Application security skill for AI agents, published by prime-radiant-inc in the greenfield repository on GitHub. Skillspace rates binary-analysis D (62/100) and it passed the safety scan; the rating is based on static analysis only.
Layer 1 methodology for extracting behavioral intelligence from compiled binaries, bytecode archives, managed assemblies, and bundled applications. Covers artifact identification, string extraction strategy, decompilation workflows, provenance requirements, and handoff to source code mode.
- Grade
- D
- Quality
- 62 / 100
- Safety
- Passed
- GitHub stars
- 211
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 96 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
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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