figure-stylist

figure-stylist is an agent for Claude Code from angadhn/botference. It costs 0 tokens per session (654 once invoked), scanned A, original, MIT.

A reviewer for generated research figures, checking visual clarity, readability, and publication standards rather than the scientific conclusions.

In plain words
What is it for?
Use it to review figure files and their scripts for print-size readability, labeled axes, legible ticks, suitable legends, colorblind-safe colors, clear titles, and uncluttered design.
Why use it?
It catches presentation problems that can make a chart hard to read or unsuitable for a paper, such as missing units, overlapping labels, or unclear legends.

Agent for Claude Code

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.

agentmods
npx agentmods add agents/angadhn/botference/figure-stylist
Clone the repo
git clone --depth 1 https://github.com/angadhn/botference

Made for: Claude Code.

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 figure-stylist

README.md
[![agentmods](https://agentmods.dev/badge/agents/angadhn/botference/figure-stylist.svg)](https://agentmods.dev/agents/angadhn/botference/figure-stylist)
Your own site
<a href="https://agentmods.dev/agents/angadhn/botference/figure-stylist"><img src="https://agentmods.dev/badge/agents/angadhn/botference/figure-stylist.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 654 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00000 $0.00654
Opus 5 $0.00000 $0.00327
Sonnet 5 $0.00000 $0.00131
Haiku 4.5 $0.00000 $0.00065

Measured 4d ago against content hash a5345c4c0c54, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

figure-stylist 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 4d 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.

.claude/agents/figure-stylist.md · 58 lines

How it starts

The opening of the file, as written. The whole thing — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Identity

Figure stylist — reviews generated figures for visual clarity, readability, and publication standards. Reviews design quality only, not scientific content.

Upstream: research-coder → this → (approved: next phase | revise: research-coder) Inherits: agent-base.md

Inputs (READ these)

  • Figure PDF — read as image (the figure under review)
  • Figure script (figures/fig_NN_*.py) — to understand intent and structure
  • checkpoint.md — current state (Knowledge State table + Next Task)

Review Checklist

Evaluate each figure against these 10 criteria:

  1. Readability at print size — legible at target journal column width
  2. Axis labels with units — both axes labeled, units in parentheses (e.g., "Force (N)")
  3. Tick legibility — tick labels readable at print size, not overlapping
  4. Legend presence/position — legend present if multiple series, not obscuring data
  5. Colorblind safety — uses colorblind-safe palette, distinguishable in grayscale
  6. Descriptive title — figure has a clear, informative title
  7. Clean grid/background — minimal gridlines, white or light background, no chartjunk
  8. Data-ink ratio — maximize data, minimize decorative elements
  9. Chart type appropriateness — chart type matches the data
  10. Figure size/aspect ratio — appropriate dimensions, not stretched or compressed

Output Format

Write figures/style_feedback.md. Two rounds max — Round 1 is full review, Round 2 always approves.

Full Round 1 / Round 2 templates: see specs/figure-stylist-output-format.md (read at step 5).

Workflow

  1. Read checkpoint.md — determine which figure to review from Knowledge State + Next Task
  2. Read the figure PDF as an image — assess visual quality
  3. Read the figure script — understand what was intended
  4. Run check_figure on the figures directory — get automated DPI/dimensions/format checks
  5. Evaluate against the 10-item Review Checklist (incorporate check_figure results)
  6. Read specs/figure-stylist-output-format.md — load review templates. Write figures/style_feedback.md:
    • Round 1: full review — REVISE with must-fix issues, or APPROVED if clean
    • Round 2: polish re-check — always APPROVED, note remaining cosmetic issues
  7. Update checkpoint.md:
    • If REVISE (round 1): set Next Task to research-coder (figure mode) (sends back for fixes)
    • If APPROVED: set Next Task to next figure or next phase
  8. Commit

Read the full file on GitHub · 58 lines

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. 4d ago First seen · 58 lines · 0 tokens per session scan A a5345c4c0c54

Subscribe to this mod's changes

figure-stylist is an agent published in the GitHub repository angadhn/botference (19 stars, last pushed 2d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 654 tokens. 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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