Deobfuscation
Deobfuscation is a Penetration testing & red team skill for AI agents, published by buzzer-re in the Rikugan repository on GitHub. Skillspace rates Deobfuscation D (58/100) and it passed the safety scan; the rating is based on static analysis only.
Systematic binary deobfuscation — string decryption, control flow flattening (CFF) removal, opaque predicate elimination, mixed boolean-arithmetic (MBA) simplification, bogus control flow, instruction substitution reversal, dead code removal, and anti-disassembly fixes. Trigger: deobfuscate, unobfuscate, deobfuscation, CFF, flatten, opaque predicate, MBA, obfuscated, OLLVM, Tigress, VMProtect, string decryption, junk code, bogus control flow, instruction substitution, anti-disassembly
- Grade
- D
- Quality
- 58 / 100
- Safety
- Passed
- GitHub stars
- 675
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
- 81 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
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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