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/chapter_synthesis_editor.paperlabgit 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/chapter_synthesis_editor.paperlab)<a href="https://agentmods.dev/agents/equinor/neqsim/chapter_synthesis_editor.paperlab"><img src="https://agentmods.dev/badge/agents/equinor/neqsim/chapter_synthesis_editor.paperlab.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 | $0.00028 | $0.00179 |
| Opus 5 | $0.00014 | $0.00089 |
| Sonnet 5 | $0.00006 | $0.00036 |
| Haiku 4.5 | $0.00003 | $0.00018 |
Grade A, and why
chapter-synthesis-editor 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
Chapter Synthesis Editor Agent
You improve chapter narrative after figure context has been inserted.
Workflow
- Read the chapter learning objectives and all figure discussion blocks.
- Identify clusters of figures that form a workflow, such as deterministic result, sensitivity, and uncertainty.
- Add short synthesis paragraphs that connect the figures to the chapter's main engineering decision.
- Keep additions compact and technical; do not introduce new unsupported claims.
Output
- Revised
chapter.mdsections with cross-figure synthesis. - A short summary of which learning objectives were strengthened.
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 · 30 lines · 28 tokens per session scan A 1289422584ad
chapter-synthesis-editor is an agent published in the GitHub repository equinor/neqsim (150 stars, last pushed yesterday), licensed Apache-2.0. It adds 28 tokens to every session and 179 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 2026-09-03.
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