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 skyfox675/agents-skills --skill pdfgit clone --depth 1 https://github.com/skyfox675/agents-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/skills/skyfox675/agents-skills/pdf)<a href="https://agentmods.dev/skills/skyfox675/agents-skills/pdf"><img src="https://agentmods.dev/badge/skills/skyfox675/agents-skills/pdf.svg" alt="Measured on agentmods" 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 | $0.00092 | $0.00398 |
| Opus 5 | $0.00046 | $0.00199 |
| Sonnet 5 | $0.00018 | $0.00080 |
| Haiku 4.5 | $0.00009 | $0.00040 |
Grade B, and why
pdf scanned grade B with 1 finding 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 4d 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.
Enumerates other installed skillsmediumAgent snooping
Other skills' SKILL.md files reveal prompts, capabilities and secrets that should be invisible to peers.
- **Cursor / GitHub Copilot:** copy `skills/pdf/` from anthropics/skills into your skills dir (`.cursor/skills/`, `.github/skills/`, or the shared `.claude/skills/`). What it actually says
pdf (pointer skill)
Pointer skill — the implementation is not stored here. The name above is the stable local contract; the body lives upstream and is fetched/installed from source so consumers always get the latest version.
- Canonical source: https://github.com/anthropics/skills/blob/main/skills/pdf/SKILL.md
- Raw SKILL.md: https://raw.githubusercontent.com/anthropics/skills/main/skills/pdf/SKILL.md
- What it does: Comprehensive PDF manipulation — extract text/tables, merge/split, rotate, watermark, fill forms, encrypt/decrypt, extract images, OCR scanned PDFs, create new PDFs.
- License: see the anthropics/skills repo LICENSE.
Installing this skill
- Claude Code (recommended):
/plugin marketplace add anthropics/skills, then/plugin install document-skills@anthropic-agent-skills— this skill ships in the document-skills plugin. - Claude.ai (paid plans): already available, no install.
- Claude API: upload/enable via the Skills API.
- Cursor / GitHub Copilot: copy
skills/pdf/from anthropics/skills into your skills dir (.cursor/skills/,.github/skills/, or the shared.claude/skills/).
Do not copy the upstream body into this file; that would freeze the version and defeat the pointer.
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.
- 4d ago First seen · 23 lines · 92 tokens per session scan B 684ff96d5360
pdf is a skill published in the GitHub repository skyfox675/agents-skills (10 stars, last pushed 7d ago), licensed MIT. It adds 92 tokens to every session and 398 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it B with 1 finding (enumerates other installed skills). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
pydicom
Use pydicom to read, inspect, write, transform, and safely preflight local DICOM datasets and pixel data. Applies to DICOM metadata, transfer syntaxes, compression plugins, frames, private elements, JSON, and bounded de-identification review.
foundry-hosted-agent-validation
Step-by-step process for validating a Python Foundry hosted agent sample (under python/samples/04-hosting/foundry-hosted-agents/) end to end — running it locally (native runtime and azd ai agent run) and after deploying it to an Azure AI Foundry project with azd. Use this when asked to validate a hosted agent sample.
skill-doc-delivery
Convert markdown to DOCX, PPTX, XLSX, PDF office documents — use when you need exportable deliverables.
pdf-extract-create-workflow
Complete PDF lifecycle: download, extract, and generate structured documents with reportlab.
document-direct-python
Use direct Python execution for reliable document creation including spreadsheets, PDFs, and structured reports.
pdf-text-extraction-fallback-85d5ca
Fallback workflow for extracting text from PDFs when readfile returns binary data.