Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add OpenLAIR/OpenSkill --skill evo-pdf-redaction-enginegit clone --depth 1 https://github.com/OpenLAIR/OpenSkillWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/openlair/openskill/evo-pdf-redaction-engine)<a href="https://agentmods.dev/skills/openlair/openskill/evo-pdf-redaction-engine"><img src="https://agentmods.dev/badge/skills/openlair/openskill/evo-pdf-redaction-engine/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/openlair/openskill/evo-pdf-redaction-engine"><img src="https://agentmods.dev/badge/skills/openlair/openskill/evo-pdf-redaction-engine.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00051 | $0.00352 |
| Opus 5 | $0.00026 | $0.00176 |
| Sonnet 5 | $0.00010 | $0.00070 |
| Haiku 4.5 | $0.00005 | $0.00035 |
Grade A, and why
evo-pdf-redaction-engine scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
evo-pdf-redaction-engine
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']
)
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- yesterday First seen · 35 lines · 51 tokens per session scan A e7d2d895936f
evo-pdf-redaction-engine is a skill published in the GitHub repository OpenLAIR/OpenSkill (90 stars, last pushed 2d ago), licensed Apache-2.0. It adds 51 tokens to every session and 352 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-11.
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