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 ymo6/illustrator-figure-mcp --skill correct-scientific-figuregit clone --depth 1 https://github.com/ymo6/illustrator-figure-mcpWrote 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/ymo6/illustrator-figure-mcp/correct-scientific-figure)<a href="https://agentmods.dev/skills/ymo6/illustrator-figure-mcp/correct-scientific-figure"><img src="https://agentmods.dev/badge/skills/ymo6/illustrator-figure-mcp/correct-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/ymo6/illustrator-figure-mcp/correct-scientific-figure"><img src="https://agentmods.dev/badge/skills/ymo6/illustrator-figure-mcp/correct-scientific-figure.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 | $0.00068 | $0.01316 |
| Opus 5 | $0.00034 | $0.00658 |
| Sonnet 5 | $0.00014 | $0.00263 |
| Haiku 4.5 | $0.00007 | $0.00132 |
Grade A, and why
correct-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 10d 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.
This is a copy
86% identical to bio-causal-genomics-pleiotropy-detection — 467 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Correct Scientific Figure
Act as the Corrector. Diagnose each finding and produce an executable plan. Do not draw, and do not approve your own plan: hand it to the Drawer, then require a fresh Reviewer pass.
Required inputs
- the current object inventory (
get_document_structure/find_objects); - region and exact object names;
- the Reviewer's category, severity, evidence, and acceptance condition;
- the current export and the reference crop, when one exists;
- the design or reconstruction spec;
- raster declarations, grouping, and z-order.
If a finding does not identify an object, request a narrower inspection first. Never replace a whole panel as a shortcut — that is flattening with extra steps.
Diagnose before prescribing
Classify the root cause:
- incorrect text or scientific topology;
- wrong geometry, alignment, spacing, scale, or margin;
- text-frame or font-metric mismatch (overset text);
- wrong connector site, route, clearance, or a stale binding;
- incorrect grouping or z-order;
- raster crop too broad, raster not atomic, or a reconstructable overlay left inside an image;
- palette, hierarchy, or reference-correspondence mismatch;
- traced or pasted geometry standing in for reconstruction.
Prefer the smallest change that fixes the root cause and preserves already-approved objects.
Emit an object-level plan
For every finding:
correction_id: stable id
finding_id: source finding
region: stable region id
objects: exact object names
root_cause: concise diagnosis
operations: ordered tool calls with exact target values
preserve: objects/properties that must not change
acceptance: measurable re-export and re-audit condition
rollback_signal: evidence that this correction harmed an approved area
Order operations by dependency: decomposition and creation → geometry → text fit → connectors → grouping → z-order → exact alignment and distribution. Then reflow connectors.
Illustrator operations
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.
- 10d ago First seen · 112 lines · 68 tokens per session scan A 1075cf70a990
correct-scientific-figure is a skill published in the GitHub repository ymo6/illustrator-figure-mcp (0 stars, last pushed 15d ago), licensed MIT. It adds 68 tokens to every session and 1,316 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 86% identical to bio-causal-genomics-pleiotropy-detection, differing in 467 lines, and is treated as a copy.
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