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-enterprise-doc-parsergit 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-enterprise-doc-parser)<a href="https://agentmods.dev/skills/openlair/openskill/evo-enterprise-doc-parser"><img src="https://agentmods.dev/badge/skills/openlair/openskill/evo-enterprise-doc-parser/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-enterprise-doc-parser"><img src="https://agentmods.dev/badge/skills/openlair/openskill/evo-enterprise-doc-parser.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 | $0.00070 | $0.00438 |
| Opus 5 | $0.00035 | $0.00219 |
| Sonnet 5 | $0.00014 | $0.00088 |
| Haiku 4.5 | $0.00007 | $0.00044 |
Grade A, and why
evo-enterprise-doc-parser 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
evo-enterprise-doc-parser
Utility functions for discovering and extracting text from enterprise document formats.
Key Functions
ensure_dependencies(required_packages)- Install missing Python packages at runtime (handles PEP 668/Ubuntu 24.04)discover_files(root_dir)- Recursively scan directory, return list of Path objectsextract_text_from_pdf(filepath)- Extract text from PDF using PyMuPDF (fitz)extract_text_from_docx(filepath)- Extract text from DOCX including headers, footers, tablesextract_text_from_xlsx(filepath)- Extract text from XLSX handling merged cellsextract_text_from_pptx(filepath)- Extract text from PPTX including presenter notessafe_read_text(filepath)- Read text files with encoding detection fallbackprocess_file(filepath)- Route file to appropriate extractor based on extensionextract_all_documents(root_dir)- Discover and extract text from all files in directory
Usage
import sys
sys.path.insert(0, "/app/environment/skills/evo-enterprise-doc-parser/scripts")
from utils import ensure_dependencies, extract_all_documents
# Install dependencies first
ensure_dependencies({
"fitz": "pymupdf",
"docx": "python-docx",
"openpyxl": "openpyxl",
"pptx": "python-pptx",
"yaml": "pyyaml",
"charset_normalizer": "charset-normalizer",
"tiktoken": "tiktoken"
})
# Extract all documents
docs = extract_all_documents("/root/DATA")
for doc in docs:
print(f"{doc['filename']}: {len(doc['content'])} chars")
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 · 45 lines · 70 tokens per session scan A 0e447f3bf0cd
evo-enterprise-doc-parser is a skill published in the GitHub repository OpenLAIR/OpenSkill (88 stars, last pushed yesterday), licensed Apache-2.0. It adds 70 tokens to every session and 438 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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