SkillCheatSheet
parsing-artifacts-with-eric-zimmerman-tools
An AI agent skill from mukul975/Anthropic-Cybersecurity-Skills, scored 64 out of 100 by code.
Code score by group
It loses the most points in Procedure (15), the group that checks whether the steps are numbered, read the context first and say what to do when something fails.
What the author says it does
Parse Windows forensic artifacts—$MFT/$J (MFTECmd), Prefetch (PECmd), registry hives (RECmd), shellbags, and Amcache—into normalized CSV/JSON with Eric Zimmerman's EZ Tools, then load results into Timeline Explorer for analysis. Use during DFIR/incident-response investigations, after triage collection (e.g. with KAPE), to establish program execution, file/folder access, and persistence evidence from acquired forensic images.
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/parsing-artifacts-with-eric-zimmerman-tools
- License
- Apache-2.0
- GitHub stars
- 35,958
- SKILL.md lines
- 171
- Other files
- 4
Add parsing-artifacts-with-eric-zimmerman-tools to your agent
npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill parsing-artifacts-with-eric-zimmerman-toolsThe 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.