evo-pdf-redaction-engine
SkillSearchPerforms physical redaction of identified content in PDF documents using PyMuPDF's redaction API. Handles exact string redaction, regex-based redaction, hyperlink removal, metadata scrubbing, and secure document saving.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the evo-pdf-redaction-engine skill
What this skill tells your AI
The instructions your AI receives, as published by openlair/openskill in tasks-evolved/paper-anonymizer/environment/skills/evo-pdf-redaction-engine/SKILL.md and read by ahel’s review.
Performs physical PDF redaction using PyMuPDF (fitz). Applies redaction annotations, removes hyperlinks, purges metadata, and saves securely with garbage collection.
Key Functions
redact_exact_strings(page, strings)- Add redaction annotations for exact string matchesredact_regex_patterns(page, patterns)- Add redaction annotations for regex matchesredact_page_region(page, rect)- Redact an entire rectangular regionscrub_hyperlinks(page, link_patterns)- Remove identifying hyperlinks and redact their textscrub_metadata(doc)- Purge standard and XMP metadataanonymize_pdf(input_path, output_path, exact_strings, regex_patterns, link_patterns)- Full pipelinesave_redacted_document(doc, output_path)- Save with garbage=4 and deflate=True
Usage
import sys
sys.path.insert(0, '/app/environment/skills/evo-pdf-redaction-engine/scripts')
from redaction import anonymize_pdf
anonymize_pdf(
input_path='/root/paper1.pdf',
output_path='/root/redacted/paper1.pdf',
exact_strings=['Author Name', 'University Name'],
regex_patterns=[r'arXiv:\d{4}\.\d{4,5}'],
link_patterns=['arxiv.org', 'github.com']
)
Signals
- GitHub stars
- 89
- Forks
- 4
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
evo-pdf-redaction-engine- Source
- github.com/openlair/openskill