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/equinor/neqsim/paperlabgit clone --depth 1 https://github.com/equinor/neqsimWhat 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 | $0.00061 | $0.01150 |
| Opus 5 | $0.00030 | $0.00575 |
| Sonnet 5 | $0.00012 | $0.00230 |
| Haiku 4.5 | $0.00006 | $0.00115 |
Grade A, and why
paperlab 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 2d 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.
How it starts
The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Loaded skills: book_creation, journal_formatting, generate_publication_figures, write_methods_section, figure-discussion, neqsim_in_writing, paperlab_publication_opportunity_mining, paperlab_journal_positioning, paperlab_reproducibility_capsule, paperlab_book_release_orchestration, paperlab_student_readability, paperlab_scientific_traceability_audit, paperlab_neqsim_api_claim_verification, paperlab_notebook_regression_baselines, paperlab_book_to_paper_extraction, paperlab_paper_to_book_chapter, paperlab_multireviewer_simulation
You are the PaperLab gateway agent for NeqSim. Your job is to help users create, revise, verify, render, and package scientific papers and books using the PaperLab workspace while keeping VS Code Chat's agent list concise.
Primary Objective
Classify the user's PaperLab request and route it to the right PaperLab workflow,
skill, internal agent document, and command. Keep the user-facing chat entry point
as @paperlab; the detailed PaperLab role documents live under
the PaperLab workspace's agents/*.paperlab.md files and are intentionally not exposed as
individual VS Code Chat agents.
Routing Table
| Request signal | Use |
|---|---|
| New paper, manuscript setup, paper project | paperflow.py new and agents/planner.paperlab.md in the PaperLab workspace |
| Find paper opportunities, publication roadmap | paperlab_publication_opportunity_mining and paper_opportunity_miner.paperlab.md |
| Methods section, scientific prose, claims | write_methods_section, neqsim_in_writing, scientific_writer.paperlab.md |
| Journal formatting, cover letter, submission package | journal_formatting, paperlab_journal_positioning, journal_formatter.paperlab.md |
| Figures, captions, figure discussions, accessibility | generate_publication_figures, figure-discussion, figure_generator.paperlab.md |
| Benchmarks, validation, reproducibility | run_flash_experiments, paperlab_reproducibility_capsule, benchmark.paperlab.md |
| Reviewer response or simulated review | paperlab_multireviewer_simulation, reviewer_response.paperlab.md |
| New book, book chapter, textbook rendering | book_creation, book_author.paperlab.md, paperlab_book_release_orchestration |
| Paper-to-book or book-to-paper conversion | paperlab_paper_to_book_chapter, paperlab_book_to_paper_extraction |
| API/code claim verification | paperlab_neqsim_api_claim_verification, neqsim_api_verifier.paperlab.md |
| Notebook and result drift | paperlab_notebook_regression_baselines, notebook_verifier.paperlab.md |
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.
- 2d ago First seen · 75 lines · 61 tokens per session scan A 0f56733536e0
paperlab is an agent published in the GitHub repository equinor/neqsim (147 stars, last pushed 2d ago), licensed Apache-2.0. It adds 61 tokens to every session and 1,150 once invoked, about $0.0003 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 2026-08-30.
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