SkillCheatSheet
performing-memory-forensics-with-volatility3
An AI agent skill from mukul975/Anthropic-Cybersecurity-Skills, scored 69 out of 100 by code.
Code score by group
It loses the most points in Done criteria (11), the group that checks whether there is a checklist and a step that verifies the work.
What the author says it does
Analyze volatile memory (RAM) dumps using the Volatility 3 framework to extract running processes, network connections, loaded modules, credentials, and encryption keys, and to detect process hollowing, DLL injection, or hidden processes/rootkits. Use during incident response on a compromised or suspect system when disk-based forensics alone is insufficient and volatile evidence of malware or intrusion must be recovered from memory.
This is the description in the skill's own SKILL.md, written by its author, not by SkillCheatSheet.
- Repository
- mukul975/Anthropic-Cybersecurity-Skills
- Folder
- skills/performing-memory-forensics-with-volatility3
- License
- Apache-2.0
- GitHub stars
- 35,958
- SKILL.md lines
- 306
- Other files
- 4
Add performing-memory-forensics-with-volatility3 to your agent
npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-memory-forensics-with-volatility3The command uses the open skills CLI. A skill is instructions and scripts your agent will follow, so read it first: open the folder on GitHub at the commit that was scored.
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All skills in mukul975/Anthropic-Cybersecurity-Skills
Scores come from a snapshot of 300 public GitHub repositories taken on 12 November 2026. Every score is the result of fixed checks run by code; no AI is involved. How scoring works.