cerberus-re
cerberus-re is a Penetration testing & red team skill for AI agents, published by OwenPawl in the cerberus-re-skill repository on GitHub. Skillspace rates cerberus-re B (81/100) and it passed the safety scan; the rating is based on static analysis only.
Cerberus RE is a local Apple-focused reverse-engineering workbench for building a repeatable three-headed static/dynamic/instrumentation loop around Ghidra, LLDB, and Frida. Trigger when the user wants static Ghidra analysis, LLDB dynamic/live analysis, Frida instrumentation, decompilation, runtime traces, or structured reversing artifacts such as functions, strings, symbols, Objective-C metadata, Swift metadata, xrefs, and runtime hits.
- Grade
- B
- Quality
- 81 / 100
- Safety
- Passed
- GitHub stars
- 170
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
- 100 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Apache-2.0
- 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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