analyzing-malicious-pdf-with-peepdf
analyzing-malicious-pdf-with-peepdf is a Document generation & office files skill for AI agents, published by mukul975 in the Anthropic-Cybersecurity-Skills repository on GitHub. Skillspace rates analyzing-malicious-pdf-with-peepdf C (77/100) and it passed the safety scan; a judge model has also reviewed it.
Perform static analysis of malicious PDF documents using peepdf, pdfid,
- Grade
- C
- Quality
- 77 / 100
- Safety
- Passed
- GitHub stars
- 32,716
Placed #5 of 6 in the judged category final for Document generation & office files.
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
- 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 #5 of 6 in the judged category final for Document generation & office files.
- Trigger
40 40 - Instructions
68 68 - Specificity
60 60 - Safety
82 82 - Disclosure
70 70 - Maintenance
45 45
A reasonable static-malware-analysis playbook with sandboxing awareness, hurt by a description that cuts off mid-sentence and a lack of any concrete command syntax.
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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