analyzing-memory-forensics-with-lime-and-volatility
analyzing-memory-forensics-with-lime-and-volatility is a Blue team & detection skill for AI agents, published by mukul975 in the Anthropic-Cybersecurity-Skills repository on GitHub. Skillspace rates analyzing-memory-forensics-with-lime-and-volatility C (77/100) and it passed the safety scan; a judge model has also reviewed it.
Performs Linux memory acquisition using LiME (Linux Memory Extractor)
- Grade
- C
- Quality
- 77 / 100
- Safety
- Passed
- GitHub stars
- 32,716
Placed #1 of 3 when judged against its near-duplicates in Blue team & detection.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 94 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Judge review
Placed #1 of 3 when judged against its near-duplicates in Blue team & detection.
- Trigger
56 56 - Instructions
63 63 - Specificity
68 68 - Safety
86 86 - Disclosure
52 52 - Maintenance
33 33
The most complete of the three on its own terms, since every listed technique (pslist vs psscan for hidden processes, bash history, sockstat, lsmod, malfind) gets an actual Volatility 3 command, though its 'programmatic Volatility 3 usage' Python block never calls a real plugin and the description cuts off without even mentioning Volatility.
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- 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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