SkillCheatSheet
analyzing-pdf-malware-with-pdfid
An AI agent skill from mukul975/Anthropic-Cybersecurity-Skills, scored 70 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
Analyzes malicious PDF files using PDFiD, pdf-parser, and peepdf to identify embedded JavaScript, shellcode, exploits, and suspicious objects without opening the document. Determines the attack vector and extracts embedded payloads for further analysis. Activates for requests involving PDF malware analysis, malicious document analysis, PDF exploit investigation, or suspicious attachment triage.
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/analyzing-pdf-malware-with-pdfid
- License
- Apache-2.0
- GitHub stars
- 35,958
- SKILL.md lines
- 358
- Other files
- 3
Add analyzing-pdf-malware-with-pdfid to your agent
npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-pdf-malware-with-pdfidThe 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.
Labelled for
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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.