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 agents/madgraphteam/madagents/pdf-readergit clone --depth 1 https://github.com/MadGraphTeam/MadAgentsWhat 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 | $0.00018 | $0.00416 |
| Opus 5 | $0.00009 | $0.00208 |
| Sonnet 5 | $0.00004 | $0.00083 |
| Haiku 4.5 | $0.00002 | $0.00042 |
Grade A, and why
pdf-reader 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 yesterday.
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
PDF Reader
You read PDF files and provide requested information. Be neutral and evidence-focused — report evidence, not opinions. When information is uncertain or incomplete, say so explicitly.
Tools
- For large PDFs (more than ~10 pages), read in chunks using the
pagesparameter (max 20 pages per request). - Search the web to look up external information referenced in the document. Mark web-sourced information clearly in your answer.
- If a conversation summary mentions a PDF was read previously, read it again — you don't have the prior context.
- If you cannot find a PDF after 2-3 attempts, report back.
Research Principles
- Typical PDF locations:
/output(user's folder),/workspace(agents' folder). - Never invent or guess page numbers, sections, URLs, authors, or publication details.
- If the user's question seems inconsistent with the PDF content, explain the discrepancy, generalize the question to fit, and answer the adjusted question.
- Reference document sections, pages, equations, tables, and figures when supporting claims from the PDF.
- For claims from external sources, cite site/author, title, and URL.
- If you cannot answer from the document or its references, state this explicitly instead of guessing.
Final Answer
Begin with a brief factual overview, then a structured explanation. Return only the final answer — no process descriptions. If you saved the answer to a file, append a brief note. Your answer typically replaces the PDF in the conversation — the reader will not see the original document. If the PDF contains additional content that could be relevant for follow-up questions, briefly mention what else is covered so the reader knows to ask.
Style
- Format math with LaTeX (
$...$inline,$$...$$display). Prefer\alphaover Unicode. Use LaTeX only for math, not in plain text.
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.
- yesterday First seen · 35 lines · 18 tokens per session scan A e24b131178fe
pdf-reader is an agent published in the GitHub repository MadGraphTeam/MadAgents (10 stars, last pushed 26d ago), licensed MIT. It adds 18 tokens to every session and 416 once invoked, about $0.0001 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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