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-context-extractorgit 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-context-extractor)<a href="https://agentmods.dev/skills/openlair/openskill/evo-pdf-context-extractor"><img src="https://agentmods.dev/badge/skills/openlair/openskill/evo-pdf-context-extractor/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-context-extractor"><img src="https://agentmods.dev/badge/skills/openlair/openskill/evo-pdf-context-extractor.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 | $0.00046 | $0.00233 |
| Opus 5 | $0.00023 | $0.00117 |
| Sonnet 5 | $0.00009 | $0.00047 |
| Haiku 4.5 | $0.00005 | $0.00023 |
Grade A, and why
evo-pdf-context-extractor 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 today.
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
PDF Context Extractor
Extracts text content from PDF files using pypdf 5.x (PdfReader API).
Usage
import sys
sys.path.insert(0, '/app/environment/skills/evo-pdf-context-extractor/scripts')
from utils import extract_pdf_text, get_all_pages_text
# Get all text from a PDF
text = extract_pdf_text('/path/to/file.pdf')
# Get text as list of pages
pages = get_all_pages_text('/path/to/file.pdf')
Key Functions
extract_pdf_text(filepath)- Returns all text from PDF as single stringget_all_pages_text(filepath)- Returns list of strings, one per page
Technical Notes
- Uses
from pypdf import PdfReader(NOT PyPDF2) - Uses
page.extract_text()method - Handles malformed PDFs gracefully
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.
- today First seen · 34 lines · 46 tokens per session scan A 5c0a786440ee
evo-pdf-context-extractor is a skill published in the GitHub repository OpenLAIR/OpenSkill (88 stars, last pushed yesterday), licensed Apache-2.0. It adds 46 tokens to every session and 233 once invoked, about $0.0002 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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