correct-scientific-figure

correct-scientific-figure is a skill for Codex from icebird1998/scientific-illustrator. It costs 74 tokens per session (1,065 once invoked), scanned A, original, MIT.

A correction-planning guide for scientific illustrations made in draw.io, Microsoft PowerPoint, or WPS Presentation. It turns reviewer comments into small, ordered instructions for fixing visible objects.

In plain words
What is it for?
It helps identify whether a problem involves text, layout, connectors, layering, grouping, colors, or raster images, then specifies the exact object-level changes to make.
Why use it?
It prevents vague or overly broad fixes, such as redrawing an entire panel when only one object is wrong. It also requires a fresh review after corrections.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: $skill-name invocation.

Good fit It helps identify whether a problem involves text, layout, connectors, layering, grouping, colors, or raster images, then specifies the exact object-level changes to make.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/icebird1998/scientific-illustrator/correct-scientific-figure
Install

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.

Any agent
npx skills add icebird1998/scientific-illustrator --skill correct-scientific-figure
Clone the repo
git clone --depth 1 https://github.com/icebird1998/scientific-illustrator

Made for: Codex.

Wrote 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.

agentmods badge for correct-scientific-figure

README.md
[![agentmods](https://agentmods.dev/badge/skills/icebird1998/scientific-illustrator/correct-scientific-figure/github.svg)](https://agentmods.dev/skills/icebird1998/scientific-illustrator/correct-scientific-figure)
Your own site
<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.

agentmods 80×15 button for correct-scientific-figure

Your own site · 80×15
<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>
Per session 74 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,065 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 11d ago against content hash 08d8dbd39656, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

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.

plugins/scientific-illustrator/skills/correct-scientific-figure/SKILL.md · 98 lines

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

Read the full file on GitHub · 98 lines

Files

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.

Changes

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.

  1. 11d ago First seen · 98 lines · 74 tokens per session scan A 08d8dbd39656

Subscribe to this mod's changes

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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