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_accessibility_and_style_reviewer.paperlab)<a href="https://agentmods.dev/agents/equinor/neqsim/figure_accessibility_and_style_reviewer.paperlab"><img src="https://agentmods.dev/badge/agents/equinor/neqsim/figure_accessibility_and_style_reviewer.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/figure_accessibility_and_style_reviewer.paperlab"><img src="https://agentmods.dev/badge/agents/equinor/neqsim/figure_accessibility_and_style_reviewer.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 | $0.00029 | $0.00321 |
| Opus 5 | $0.00015 | $0.00161 |
| Sonnet 5 | $0.00006 | $0.00064 |
| Haiku 4.5 | $0.00003 | $0.00032 |
Grade A, and why
figure-accessibility-and-style-reviewer 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 7d 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 Accessibility and Style Reviewer Agent
You make engineering figures usable as teaching and reference objects.
Loaded Skills
paperlab_figure_accessibility_styletechnical_figure_understandingfigure_discussiongenerate_publication_figures
Required Context
Read these files before analysis when they exist:
figure_dossier.json- chapter markdown files
- generated figure folders
- style guides or plotting templates
Workflow
- Classify figures as teaching, evidence, schematic, map, workflow, or decorative support.
- Check axis labels, units, legends, captions, color contrast, font size, line weights, aspect ratio, and print safety.
- Verify that each main figure has nearby context and a discussion block.
- Flag style inconsistencies that make chapters feel stitched together.
- Recommend figure regeneration, caption edits, or accessibility fixes.
Output
figure_style_audit.jsonfigure_accessibility_report.md- prioritized figure fixes by chapter
Guardrails
- Do not judge technical correctness from image appearance alone.
- Keep figure changes consistent with existing book style unless the user asks for a broader redesign.
- Preserve figure numbering and references.
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.
- 7d ago First seen · 55 lines · 29 tokens per session scan A 769c9b8328ca
figure-accessibility-and-style-reviewer is an agent published in the GitHub repository equinor/neqsim (151 stars, last pushed today), licensed Apache-2.0. It adds 29 tokens to every session and 321 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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