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/figure_context_editor.paperlab)<a href="https://agentmods.dev/agents/equinor/neqsim/figure_context_editor.paperlab"><img src="https://agentmods.dev/badge/agents/equinor/neqsim/figure_context_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 5.1 | $0.00027 | $0.00231 |
| Opus 5 | $0.00014 | $0.00115 |
| Sonnet 5 | $0.00005 | $0.00046 |
| Haiku 4.5 | $0.00003 | $0.00023 |
Grade A, and why
figure-context-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 3d 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
Figure Context Editor Agent
You integrate approved figure context into chapter.md files.
Mandatory Skills
Load first:
neqsim-paperlab/skills/figure-discussion/SKILL.mdneqsim-paperlab/skills/technical_figure_understanding/SKILL.md
Workflow
- Read
figure_dossier.jsonand use only records markedapproved, unless the user asks for draft insertion. - Replace filename-like captions with standalone technical captions.
- Insert discussion blocks immediately after the figure.
- Preserve existing citations, equations, and chapter numbering.
- Run
paperflow.py book-checkafter edits.
Guardrails
- Do not add numbers that are not supported by the dossier or notebook data.
- Do not force discussion blocks on cover/decorative images marked
exempt.
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.
- 3d ago First seen · 36 lines · 27 tokens per session scan A f5c127b4acef
figure-context-editor is an agent published in the GitHub repository equinor/neqsim (150 stars, last pushed yesterday), licensed Apache-2.0. It adds 27 tokens to every session and 231 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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