academic-pdf-redaction
Redact text from PDF documents for blind review anonymization
Install / Use
npx skills add benchflow-ai/skillsbench --skill academic-pdf-redactionInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
Content & MediaSupported Platforms
Our assessment of academic-pdf-redaction
academic-pdf-redaction scores 85/100 on our quality scale, 713th of 1,209 Content & Media skills we index.
Its SKILL.md is 3.6 KB long, well organised into 9 sections with 3 code examples: a solid amount of guidance for an agent.
With 1,813 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated about 2 months ago, so academic-pdf-redaction is actively maintained.
- It is released under the Apache-2.0 license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
academic-pdf-redaction compared with similar skills
All 4 of these similar skills score higher than academic-pdf-redaction; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| academic-pdf-redaction (this skill)by benchflow-ai | 85 | 1.8k | 2mo ago | SKILL.md |
| Agent-Reachby Panniantong | 100 | 90.5k | 19d ago | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 74.4k | 1d ago | CLAUDE.md |
| Scraplingby D4Vinci | 100 | 85.6k | today | MCP Server |
| crawl4aiby unclecode | 100 | 84.8k | 9d ago | MCP Server |
Frequently asked questions
- How do I install academic-pdf-redaction?
- Run
npx skills add benchflow-ai/skillsbench --skill academic-pdf-redaction. The install tabs above show the steps for each supported agent. - Which AI agents does academic-pdf-redaction work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is academic-pdf-redaction safe to use?
- It is Apache-2.0-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is academic-pdf-redaction still maintained?
- The repository was last updated about 2 months ago, so academic-pdf-redaction is actively maintained.
Skill content
View source on GitHubname: academic-pdf-redaction description: Redact text from PDF documents for blind review anonymization
PDF Redaction for Blind Review
Redact identifying information from academic papers for blind review.
CRITICAL RULES
- PRESERVE References section - Self-citations MUST remain intact
- ONLY redact specific text matches - Never redact entire pages/regions
- VERIFY output - Check that 80%+ of original text remains
Common Pitfalls to AVOID
# ❌ WRONG - This removes ALL text from the page:
for block in page.get_text("blocks"):
page.add_redact_annot(fitz.Rect(block[:4]))
# ❌ WRONG - Drawing rectangles over text:
page.draw_rect(fitz.Rect(0, 0, 600, 100), fill=(0,0,0))
# ✅ CORRECT - Only redact specific search matches:
for rect in page.search_for("John Smith"):
page.add_redact_annot(rect)
Patterns to Redact (Before References Only)
IMPORTANT: Use FULL names/phrases, not partial matches!
- ✅ "John Smith" (full name)
- ❌ "Smith" (partial - would incorrectly match "Smith et al." citations in References)
- Author names - FULL names only (e.g., "John Smith", not just "Smith")
- Affiliations - Universities, companies (e.g., "Duke University")
- Email addresses - Pattern:
*@*.edu,*@*.com - Venue names - Conference/workshop names (e.g., "ICML 2024", "ICML Workshop")
- arXiv identifiers - Pattern:
arXiv:XXXX.XXXXX - DOIs - Pattern:
10.XXXX/... - Acknowledgement names - Names in "Acknowledgements" section
- Equal contribution footnotes - e.g., "Equal contribution", "* Equal contribution"
PyMuPDF (fitz) - Recommended Approach
import fitz
import os
def redact_with_pymupdf(input_path: str, output_path: str, patterns: list[str]):
"""Redact specific patterns from PDF using PyMuPDF."""
doc = fitz.open(input_path)
original_len = sum(len(p.get_text()) for p in doc)
# Find References page - stop redacting there
references_page = None
for i, page in enumerate(doc):
if "references" in page.get_text().lower():
references_page = i
break
for page_num, page in enumerate(doc):
if references_page is not None and page_num >= references_page:
continue # Skip References section
for pattern in patterns:
# ONLY redact exact search matches
for rect in page.search_for(pattern):
page.add_redact_annot(rect, fill=(0, 0, 0))
page.apply_redactions()
os.makedirs(os.path.dirname(output_path), exist_ok=True)
doc.save(output_path)
doc.close()
# MUST verify after saving
verify_redaction(input_path, output_path)
REQUIRED: Verification Function
Always run this after ANY redaction to catch errors early:
import fitz
def verify_redaction(original_path, output_path):
"""Verify redaction didn't corrupt the PDF."""
orig = fitz.open(original_path)
redc = fitz.open(output_path)
orig_len = sum(len(p.get_text()) for p in orig)
redc_len = sum(len(p.get_text()) for p in redc)
print(f"Original: {len(orig)} pages, {orig_len} chars")
print(f"Redacted: {len(redc)} pages, {redc_len} chars")
print(f"Retained: {redc_len/orig_len:.1%}")
# DEFENSIVE CHECKS - fail fast if something went wrong
if len(redc) != len(orig):
raise ValueError(f"Page count changed: {len(orig)} -> {len(redc)}")
if redc_len < 1000:
raise ValueError(f"PDF corrupted: only {redc_len} chars remain!")
if redc_len < orig_len * 0.7:
raise ValueError(f"Too much removed: kept only {redc_len/orig_len:.0%}")
orig.close()
redc.close()
print("✓ Verification passed")
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
