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 agentmods add instructions/sandraschi/pdf-mcp/copilot-instructionsgit clone --depth 1 https://github.com/sandraschi/pdf-mcpWrote 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/sandraschi/pdf-mcp/copilot-instructions)<a href="https://agentmods.dev/instructions/sandraschi/pdf-mcp/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/sandraschi/pdf-mcp/copilot-instructions.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 | $0.00246 | $0.00246 |
| Opus 5 | $0.00123 | $0.00123 |
| Sonnet 5 | $0.00049 | $0.00049 |
| Haiku 4.5 | $0.00025 | $0.00025 |
Grade A, and why
pdf-mcp copilot-instructions.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 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.
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
GitHub Copilot Instructions (pdf-mcp)
Session Context (pdf-mcp)
pdf-mcp is a PDF intelligence MCP server (FastMCP 3.4.4, Starlette HTTP on port
11131, React webapp on port 11130). Before starting work: run pdf_status to
confirm the server is alive and pdf_help to see the current tool surface. The 16
tools are pdf_extract, pdf_manipulate, pdf_annotate, pdf_forms, pdf_convert,
pdf_validate, pdf_rag, pdf_analyze, pdf_redact, pdf_classify, pdf_dedupe,
pdf_export, pdf_do, pdf_help, pdf_status, pdf_shutdown. Each domain tool is a
portmanteau with an operation param - read the docstring for operation names. At
end of work: save any generated PDFs to data/uploads/ and note the job_id in the
thread.
Standards
- Python: ruff + pyright, all gates via
just ci - Webapp: React + Vite + Tailwind + Zustand;
bun, not npm - Never commit
.envor secrets
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 · 20 lines · 246 tokens per session scan A 3203cf92e0e1
pdf-mcp copilot-instructions.md is an instructions file published in the GitHub repository sandraschi/pdf-mcp (1 stars, last pushed 3d ago), licensed MIT. It adds 246 tokens to every session, about $0.0012 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 2026-08-31.
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