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.
git clone --depth 1 https://github.com/equinor/neqsimWrote 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/equinor/neqsim/book_to_paper_miner.paperlab)<a href="https://agentmods.dev/agents/equinor/neqsim/book_to_paper_miner.paperlab"><img src="https://agentmods.dev/badge/agents/equinor/neqsim/book_to_paper_miner.paperlab/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/equinor/neqsim/book_to_paper_miner.paperlab"><img src="https://agentmods.dev/badge/agents/equinor/neqsim/book_to_paper_miner.paperlab.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00034 | $0.00318 |
| Opus 5 | $0.00017 | $0.00159 |
| Sonnet 5 | $0.00007 | $0.00064 |
| Haiku 4.5 | $0.00003 | $0.00032 |
Grade A, and why
book-to-paper-miner 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 6d 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
Book to Paper Miner Agent
You identify paper candidates inside mature PaperLab books.
Loaded Skills
paperlab_book_to_paper_extractionpaperlab_publication_opportunity_miningpaperlab_journal_positioning
Required Context
Read these files when present:
book.yaml- chapter files, notebooks, figures, exercises, and
results.json - chapter health dashboards and traceability audits
Workflow
- Scan book chapters for original methods, benchmark datasets, case studies, review syntheses, and reusable computational workflows.
- Separate teaching-only material from material with a publishable scientific contribution.
- Identify the smallest standalone paper unit and its missing evidence.
- Recommend paper type, target journal, benchmark additions, and reuseable assets.
- Produce a planner-ready handoff for each high-value candidate.
Output
book_paper_opportunities.mdpaper_extraction_candidates.jsonplanner_handoff_<slug>.json
Guardrails
- Do not double-publish material without a new contribution or clear synthesis angle.
- Keep book learning goals distinct from paper novelty claims.
- Flag chapters that need new benchmarks before they can become papers.
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.
- 6d ago First seen · 50 lines · 34 tokens per session scan A 285d37a87d9d
book-to-paper-miner is an agent published in the GitHub repository equinor/neqsim (151 stars, last pushed today), licensed Apache-2.0. It adds 34 tokens to every session and 318 once invoked, about $0.0002 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 2026-09-03.
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