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 correct-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/correct-scientific-figure)<a href="https://agentmods.dev/skills/icebird1998/scientific-illustrator/correct-scientific-figure"><img src="https://agentmods.dev/badge/skills/icebird1998/scientific-illustrator/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/icebird1998/scientific-illustrator/correct-scientific-figure"><img src="https://agentmods.dev/badge/skills/icebird1998/scientific-illustrator/correct-scientific-figure.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00074 | $0.01065 |
| Opus 5 | $0.00037 | $0.00532 |
| Sonnet 5 | $0.00015 | $0.00213 |
| Haiku 4.5 | $0.00007 | $0.00106 |
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 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 — 98 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 Reviewer finding and produce an executable correction plan. Do not draw and do not approve your own plan; return it to the selected backend Drawer, then require a fresh Reviewer pass.
Required inputs
Use:
- backend and current object inventory;
- region and stable object names/ids;
- Reviewer category, severity, evidence, and acceptance condition;
- current renderer image and reference crop when available;
- design or reconstruction specification;
- raster declarations and grouping/z-order.
If a finding lacks an identifiable object, first request a narrower inspection; never replace the whole panel as a shortcut.
Diagnose before prescribing
Classify the root cause as one or more of:
- incorrect text or scientific topology;
- wrong geometry, alignment, spacing, scale, or margin;
- text-frame or font-metric mismatch;
- wrong connector type, site, route, lane, endpoint clearance, or z-order;
- incorrect grouping or layer order;
- raster crop too broad, raster not atomic, or reconstructable overlay left inside an image;
- palette, hierarchy, or reference-correspondence mismatch.
Prefer the smallest change set that fixes the root cause and preserves already approved objects.
Emit an object-level plan
For every finding, return:
correction_id: stable id
finding_id: source finding
backend: powerpoint | drawio
region: stable region id
objects: exact names/ids
root_cause: concise diagnosis
operations: ordered backend tool calls with exact target values
preserve: objects/properties that must not change
acceptance: measurable rerender and re-audit condition
rollback_signal: evidence that the correction harmed an approved area
Order operations by dependency: decomposition and object creation, geometry, text fit, connectors, grouping, z-order, then exact alignment/distribution.
Equivalent backend operations
| Intent | PowerPoint Drawer | draw.io Drawer |
|---|---|---|
| Move/resize/restyle | powerpoint_update_shape |
drawio_live_update_cell |
| Align | powerpoint_align_shapes |
drawio_live_align_cells |
| Equal spacing | powerpoint_distribute_shapes |
drawio_live_distribute_cells |
| Table dimensions | powerpoint_update_table_layout |
drawio_live_update_table_layout |
| Free arrow clearance | redraw with powerpoint_add_line clearances |
redraw with drawio_live_add_line clearances |
| Attached relationship | COM/OOXML: powerpoint_add_connector with correct sites; Office.js: rebuild its named geometry-backed route and recheck after node movement |
drawio_live_add_edge with entry/exit and waypoints |
| Layer order | powerpoint_set_z_order |
drawio_live_set_z_order |
| Atomic image | powerpoint_add_image |
drawio_live_add_image |
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 · 98 lines · 74 tokens per session scan A 08d8dbd39656
correct-scientific-figure is a skill published in the GitHub repository icebird1998/scientific-illustrator (789 stars, last pushed 2d ago), licensed MIT. It adds 74 tokens to every session and 1,065 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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