ai-full-figure

ai-full-figure is a skill for Claude Code from neuromechanist/research-skills. It costs 155 tokens per session (2,295 once invoked), scanned A, original, BSD-3-Clause.

A workflow for creating scientific figures with an AI-generated pictorial background and programmatically added labels, arrows, or scale bars.

In plain words
What is it for?
Use it for pictorial figures such as brain renderings, microscope or apparatus illustrations, anatomical scenes, and graphical-abstract backgrounds.
Why use it?
It separates the illustrative scene from the precise annotations that AI image generation may render unreliably.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions subagents; mentions Codex.

Part of the figures plugin — 8 skills, 1 agent shipped together

Good fit Use it for pictorial figures such as brain renderings, microscope or apparatus illustrations, anatomical scenes, and graphical-abstract backgrounds.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/neuromechanist/research-skills/ai-full-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 neuromechanist/research-skills --skill ai-full-figure
Clone the repo
git clone --depth 1 https://github.com/neuromechanist/research-skills

Made for: Claude Code.

Or install figures, the plugin that ships this one along with the rest of its 8 skills, 1 agent.

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 ai-full-figure

README.md
[![agentmods](https://agentmods.dev/badge/skills/neuromechanist/research-skills/ai-full-figure/github.svg)](https://agentmods.dev/skills/neuromechanist/research-skills/ai-full-figure)
Your own site
<a href="https://agentmods.dev/skills/neuromechanist/research-skills/ai-full-figure"><img src="https://agentmods.dev/badge/skills/neuromechanist/research-skills/ai-full-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 ai-full-figure

Your own site · 80×15
<a href="https://agentmods.dev/skills/neuromechanist/research-skills/ai-full-figure"><img src="https://agentmods.dev/badge/skills/neuromechanist/research-skills/ai-full-figure.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 155 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,295 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 $0.00155 $0.02295
Opus 5.5 $0.00062 $0.00918
Sonnet 5.5 $0.00031 $0.00459
Haiku 4.5 $0.00015 $0.00230

Measured 1mo ago against content hash 267c537b9693, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ai-full-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 1mo ago.

The scan reads SKILL.md. This mod also ships 4 executable files (examples/poster_substrate.py, scripts/build_figure.py, scripts/generate_figure.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/figures/skills/ai-full-figure/SKILL.md · 151 lines

How it starts

The opening of the file, as written. The whole thing — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AI Full Figure

Generate single panels or whole multi-panel figures with the image model (gpt-image-2 through the Codex CLI, or the OpenAI Images API when a key exists), with the titles, panel letters, and short labels rendered by the model at large size, then run figures:figure-qa and iterate until the figure ships. The output is an opaque PNG per panel plus a composed SVG, PDF, and PNG when more than one panel is built.

Sister skills are invoked by their fully qualified figures:<skill> names through the host's skill-invocation mechanism. Keep host-specific command or tool syntax in the host adapter, not in shared skill instructions.

The workflow

  1. Bible first. A project keeps one figures/theme.json. If it does not exist, invoke figures:figure-bible before generating anything. The theme supplies the palette, typography, style and negative tokens, the text limits, and the Codex model settings.
  2. Generate. One panel with generate_figure.py, or a whole figure with build_figure.py and a spec file. Text that the model should render is passed as verbatim items with a role and a placement.
  3. QA. Invoke figures:figure-qa on every candidate, passing the expected verbatim strings, the theme path, and the journal. The report ends with a JSON block whose status and findings[].action drive the next step.
  4. Iterate. Follow the iterate-loop reference shipped with figures:figure-qa (iterate-loop.md): N candidates in parallel, QA in one parallel dispatch, pick the best, apply one targeted change, re-QA, stop at ship or after three iterations.

When to use this skill

Reach for ai-full-figure when the figure's picture is the point: a headset on a head, a microscope, an anatomical scene, a schematic scene for a poster or a talk, or a graphical-abstract panel.

Route elsewhere when the figure is information-dense:

Figure type Skill
Data plot with axes and numerals figures:plot-styling, then figures:scientific-figure to compose
Boxes, arrows, and process flow with many labels figures:svg-primitives
Flat icon to drop into another figure figures:transparent-icons
Composing panels that already exist figures:scientific-figure

Read the full file on GitHub · 151 lines

Files

What ships with it

7 files 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. 1mo ago Changed · +23 lines · -11 tokens per session 267c537b9693
  2. 2mo ago First seen · 128 lines · 166 tokens per session scan A 32261a2c22c9

Subscribe to this mod's changes

ai-full-figure is a skill published in the GitHub repository neuromechanist/research-skills (51 stars, last pushed yesterday), licensed BSD-3-Clause. It adds 155 tokens to every session and 2,295 once invoked, about $0.0006 per session on Opus 5.5. 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.

Related

ai-full-figure compared with skills from other repositories

ai-full-figure next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
ai-full-figureneuromechanist/research-skillsSkill51yesterdayBSD-3-ClauseA155Claude Code
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food-analyzermickpletcher/AI-SkillsSkill203d agoMITA41Claude Code, Codex
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scienceworld-measurement-takerzjunlp/SkillNetSkill1.4k5d agoMITA81Claude Code, Codex
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scienceworld-animal-identifierzjunlp/SkillNetSkill1.4k5d agoMITA83Claude Code, Codex