This file is byte-identical to the first copy the registry indexed, one of 7 indexed copies. Same content hash, so the same checks give both the same grade.
pdf from letta-ai/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
Use when tasks involve reading, creating, or reviewing PDF files where rendering and layout matter; prefer visual checks by rendering pages (Poppler) and use Python tools such as `reportlab`, `pdfplumber`, and `pypdf` for generation and extraction.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# PDF Skill
## When to use
- Read or review PDF content where layout and visuals matter.
- Create PDFs programmatically with reliable formatting.
- Validate final rendering before delivery.
## Workflow
1. Prefer visual review: render PDF pages to PNGs and inspect them.
- Use `pdftoppm` if available.
- If unavailable, install Poppler or ask the user to review the output locally.
2. Use `reportlab` to generate PDFs when creating new documents.
3. Use `pdfplumber` (or `pypdf`) for text extraction and quick checks; do not rely on it for layout fidelity.
4. After each meaningful update, re-render pages and verify alignment, spacing, and legibility.
## Temp and output conventions
- Use `tmp/pdfs/` for intermediate files; delete when done.
- Write final artifacts under `output/pdf/` when working in this repo.
- Keep filenames stable and descriptive.
## Dependencies (install if missing)
Prefer `uv` for dependency management.
Python packages:
```
uv pip install reportlab pdfplumber pypdf
```
If `uv` is unavailable:
```
python3 -m pip install reportlab pdfplumber pypdf
```
System tools (for rendering):
```
# macOS (Homebrew)
brew install poppler
# Ubuntu/Debian
…
The line at the top of this page pins the label git:20260422.d32735f, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
A 17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
pass: Frontmatter block present
pass: Frontmatter declares a name
pass: Frontmatter declares a description
pass: Size between 200 bytes and 200 KB (2517 bytes)
pass: No zero-width or bidi control characters
pass: No instruction hidden inside an HTML comment
pass: No link to an exfiltration or paste host
pass: No credential-shaped string
pass: No instruction to send local credentials anywhere
pass: No text hidden with inline styles
pass: No prompt-injection phrasing
pass: No curl or wget piped into a shell
pass: No recursive delete of root, home or parent
pass: No instruction to read or print local credentials
pass: No base64 blob over 200 characters
pass: No link to a raw IP address
pass: No script tag
Source
GitHub
letta-ai/skills · 156 stars · license a license file GitHub does not identify · pushed 2026-10-01 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_r3hryy7vrjnje3i7
GET https://markdownregistry.com/api/v1/resolve?ref=letta-ai/skills/pdf
GET https://markdownregistry.com/api/v1/blob/d108cf2b36355ab37eb5962933f4d09785ec002f3105c506129320209306b9d2
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
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