# Figure Review

> Audit a scientific figure for publication-readiness: colormaps, uncertainty, axis labels, caption completeness, and claim support. Use this whenever the user shares or references a figure, plot, panel, or colorbar for a paper, report, or brief and wants it checked, reviewed, or made publication-ready — even if they just say "does this figure work?" or "review my plot." Emits a per-criterion repor…

- **Type:** Skill
- **Install:** `agentstack add skill-dgilford-ai-science-toolkit-figure-review`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [dgilford](https://agentstack.voostack.com/s/dgilford)
- **Installs:** 0
- **Category:** [AI & ML](https://agentstack.voostack.com/c/ai-and-ml)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [dgilford](https://github.com/dgilford)
- **Source:** https://github.com/dgilford/ai-science-toolkit/tree/main/skills/figure-review

## Install

```sh
agentstack add skill-dgilford-ai-science-toolkit-figure-review
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

## Colorblind reference (loaded at runtime)

```!
cat ~/.claude/skills/figure-review/COLORBLIND.md 2>/dev/null || echo "(colorblind guide not found)"
```

## House style (loaded at runtime)

```!
cat ~/.claude/skills/figure-review/CC-STYLE.md 2>/dev/null || echo "(no house style configured — criterion 6 skipped)"
```

## Inputs

Accept any subset of: figure image, plotting code, caption, surrounding text claim. Mark `cant-assess` for any criterion that requires input not provided.

## Criteria

**1. Colormap**
Flag colormaps listed as unsafe in the colorblind reference above (jet, rainbow, red–green). Verify sequential vs diverging choice matches data type. Assess luminance contrast. Warn if color is the sole encoding channel (no redundant shape/line style).

**2. Uncertainty**
Flag if a quantitative claim is made and no uncertainty representation is shown (CI, spread, error bars, ensemble range, shading). If no quantitative claim is present, mark `pass`.

**3. Axes**
Labels and units on all axes. Scale (linear/log) appropriate for the data range. Ticks legible.

**4. Caption**
Self-contained. Defines all symbols, abbreviations, line styles. States n, time period, data source.

**5. Claim support**
The figure shows what the surrounding text asserts. Flag over-reach. Requires the text claim as input; otherwise `cant-assess`.
*Example over-reach: figure shows 2°C warming at one station; text claims "warming is accelerating across the region."*

**6. House style** *(only when `--style` is passed)*
Check colors against the CC palette above, graphic fonts (Effra/Bebas/Work Sans), and visual direction (minimal clutter, white space).

## Report

**[Criterion]**: `pass` / `flag` / `cant-assess` — [detail; if flagged, specific fix]
*Example: **Colormap**: `flag` — Uses jet. Replace with viridis or cmo.thermal.*

## Does not

- Make aesthetic or branding calls beyond the six criteria.
- Rewrite plotting code unless explicitly asked after the report.

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [dgilford](https://github.com/dgilford)
- **Source:** [dgilford/ai-science-toolkit](https://github.com/dgilford/ai-science-toolkit)
- **License:** MIT

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-dgilford-ai-science-toolkit-figure-review
- Seller: https://agentstack.voostack.com/s/dgilford
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.
