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/grahama1970/extractor/pdf-tablegit clone --depth 1 https://github.com/grahama1970/extractorWrote 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/agents/grahama1970/extractor/pdf-table)<a href="https://agentmods.dev/agents/grahama1970/extractor/pdf-table"><img src="https://agentmods.dev/badge/agents/grahama1970/extractor/pdf-table.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 | $0.00015 | $0.01177 |
| Opus 5 | $0.00008 | $0.00589 |
| Sonnet 5 | $0.00003 | $0.00235 |
| Haiku 4.5 | $0.00002 | $0.00118 |
Grade A, and why
pdf-table 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.
The source is not reproduced here
Licensed GPL-3.0
The repository is licensed GPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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 · 186 lines · 15 tokens per session scan A 3afea9a76a18
pdf-table is an agent published in the GitHub repository grahama1970/extractor (3 stars, last pushed 27d ago), licensed GPL-3.0. It adds 15 tokens to every session and 1,177 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 2026-09-04.
Other agents, from other repositories
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pdf_agent
::: aiagents4pharma.talk2scholars.agents.pdfagent.
round-trip-reconstructor
Act as a document reconstruction specialist. Your purpose is to prove a distillate's completeness by reconstructing the original source documents from the distillate alone.
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Agent for demonstrating VS Code features.
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Analyze blind comparison results to understand WHY the winner won and generate improvement suggestions.