Borrowing it
Nothing to install: this file belongs to appautomaton/document-SKILLs. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/appautomaton/document-SKILLs/master/AGENTS.mdgit clone --depth 1 https://github.com/appautomaton/document-SKILLsWrote 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/instructions/appautomaton/document-skills/agents-md)<a href="https://agentmods.dev/instructions/appautomaton/document-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/appautomaton/document-skills/agents-md/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/instructions/appautomaton/document-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/appautomaton/document-skills/agents-md.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 | $0.01249 | $0.01249 |
| Opus 5.5 | $0.00500 | $0.00500 |
| Sonnet 5.5 | $0.00250 | $0.00250 |
| Haiku 4.5 | $0.00125 | $0.00125 |
Grade A, and why
document-SKILLs AGENTS.md 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 8d ago.
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.
How it starts
The opening of the file, as written. The whole thing — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Document Skills
Skills for creating, reading, and manipulating PDF, PPTX, XLSX, and DOCX files.
CLAUDE.mdin this directory is a symlink to this file (AGENTS.md).
Python
- Always use
uv runto execute Python scripts in these skills. - All directly-run scripts declare their dependencies via PEP 723 inline metadata —
uv runresolves them automatically. (Library modules imported by those scripts inherit the runner's environment and need no header of their own.) No manualpip installneeded. - When writing a new script, add a PEP 723 header:
# /// script # requires-python = ">=3.12" # dependencies = ["pypdf", "Pillow"] # /// - Never run bare
pip install. Never use the system Python (/usr/bin/python3).
Python Packages
| Package | PyPI name | Used by | Purpose |
|---|---|---|---|
| pypdf | pypdf |
PDF reading/writing, form fields, annotations | |
| pdf2image | pdf2image |
PDF page to image conversion (requires poppler) | |
| Pillow | Pillow |
pdf, pptx | Image processing, drawing, fonts |
| pdfplumber | pdfplumber |
Text and table extraction | |
| reportlab | reportlab |
PDF creation from scratch | |
| pytesseract | pytesseract |
OCR wrapper for Tesseract | |
| pypdfium2 | pypdfium2 |
PDF rendering using PDFium engine | |
| python-pptx | python-pptx |
pptx | PowerPoint file manipulation |
| markitdown | markitdown[pptx] |
pptx | Extract PPTX text as Markdown |
| openpyxl | openpyxl |
xlsx | Excel file manipulation |
| pandas | pandas |
xlsx | Data analysis, table operations |
| matplotlib | matplotlib |
xlsx | Chart and visualization creation |
| lxml | lxml |
pptx, docx | XML processing and XSD schema validation |
| defusedxml | defusedxml |
pptx, docx | Secure XML parsing (XXE protection) |
Node.js
Each skill that needs Node packages has its own package.json and node_modules/. Run npm install in the skill directory once to set up.
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.
- 8d ago Changed · +12 lines · +258 tokens per session e53b60b153bf
- 1mo ago First seen · 78 lines · 991 tokens per session scan A 18cc4b099436
document-SKILLs AGENTS.md is an instructions file published in the GitHub repository appautomaton/document-SKILLs (174 stars, last pushed 9d ago), licensed MIT. It adds 1,249 tokens to every session, about $0.0050 per session on Opus 5.5. 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 2026-08-30.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).