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 skills add icebird1998/scientific-illustrator --skill audit-scientific-figuregit clone --depth 1 https://github.com/icebird1998/scientific-illustratorWrote 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/skills/icebird1998/scientific-illustrator/audit-scientific-figure)<a href="https://agentmods.dev/skills/icebird1998/scientific-illustrator/audit-scientific-figure"><img src="https://agentmods.dev/badge/skills/icebird1998/scientific-illustrator/audit-scientific-figure/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/skills/icebird1998/scientific-illustrator/audit-scientific-figure"><img src="https://agentmods.dev/badge/skills/icebird1998/scientific-illustrator/audit-scientific-figure.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Anti-Refusal · line 76 Skill instructs the agent to omit warnings, disclaimers, or ethical commentary. Stripping safety caveats hides risk from the user and is a common jailbreak preamble.Fix: Remove instructions that suppress warnings, disclaimers, or ethical commentary. Let the agent surface safety-relevant caveats to the user.
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 | $0.00080 | $0.00997 |
| Opus 5 | $0.00040 | $0.00498 |
| Sonnet 5 | $0.00016 | $0.00199 |
| Haiku 4.5 | $0.00008 | $0.00100 |
Grade A, and why
audit-scientific-figure 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 11d 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 — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Audit Scientific Figure
Act as the Reviewer. Review read-only evidence and issue findings; do not draw during the review phase. A successful MCP call is not evidence that the figure is visually or structurally correct.
Collect both evidence channels
For PowerPoint or WPS, inspect the deck, run powerpoint_audit_figure, and export the slide through powerpoint_export_slide_image. Record whether the renderer is Office.js PowerPoint, COM PowerPoint, or the OOXML fallback. Treat renderer differences as application-specific evidence, not permission to flatten editable content. In Office.js, treat connector_mode=geometry_backed and implementation=officejs_editable_shape_composite as declared limitations that still require visual routing and editability review.
For draw.io, inspect the live model, run drawio_live_audit_figure, and capture the current renderer through drawio_live_screenshot.
When a reference exists, inspect the full reference and the crop matching the current region. Compare at readable resolution.
Review taxonomy
Review every region and the whole figure for:
- scientific semantics, exact readable text, topology, and arrow direction;
- editability coverage and meaningful object hierarchy;
- raster irreducibility and decomposition metadata;
- geometry, repeated alignment, equal spacing, margins, and whitespace;
- text fit, wrapping, font hierarchy, and color consistency;
- clipping, unintended overlap, z-order, and object bounds;
- arrowhead clearance, connector path-through-object, label intersection, backtracking, and route crossings;
- reference correspondence or no-reference design consistency.
Use the same categories and thresholds for draw.io and PowerPoint.
Deep editability audit
Inspect pictures semantically, not only by object count. Fail the region when one image still contains separable content such as:
- a row or grid of predictions, masks, heatmaps, or microscopy fields;
- a before/after or method comparison;
- multiple independent photographs or channels;
- editable titles, labels, borders, arrows, legends, axes, tables, or regular plots.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 11d ago First seen · 93 lines · 80 tokens per session scan A 1280febbadef
audit-scientific-figure is a skill published in the GitHub repository icebird1998/scientific-illustrator (789 stars, last pushed 3d ago), licensed MIT. It adds 80 tokens to every session and 997 once invoked, about $0.0004 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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