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 Boom5426/Nature-Paper-Skills --skill figure-plannergit clone --depth 1 https://github.com/Boom5426/Nature-Paper-SkillsWrote 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/boom5426/nature-paper-skills/figure-planner)<a href="https://agentmods.dev/skills/boom5426/nature-paper-skills/figure-planner"><img src="https://agentmods.dev/badge/skills/boom5426/nature-paper-skills/figure-planner/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/boom5426/nature-paper-skills/figure-planner"><img src="https://agentmods.dev/badge/skills/boom5426/nature-paper-skills/figure-planner.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 | $0.00045 | $0.02278 |
| Opus 5.5 | $0.00018 | $0.00911 |
| Sonnet 5.5 | $0.00009 | $0.00456 |
| Haiku 4.5 | $0.00005 | $0.00228 |
Grade A, and why
figure-planner 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 29d 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 — 232 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Figure Planner
Overview
Use this skill when the bottleneck is no longer sentence writing but figure logic. The goal is to make each figure carry a defensible scientific job, keep the panel set coherent, and ensure that the legend and Results text tell the same story.
This skill is narrower than manuscript-optimizer. Use manuscript-optimizer when the whole paper structure is unstable. Use figure-planner when the central issue is what each figure should prove and how each panel should function.
When To Use
Use this skill when:
- a figure feels overloaded, fragmented, or hard to summarize
- the paper has too many Results subsections driven by panel count
- it is unclear what belongs in the main figure versus the supplement
- legends, panel letters, and Results text may have drifted apart
- you need to redesign figure titles or panel grouping around claims rather than around plotting convenience
Do not use this skill for:
- low-level visual styling only
- final proofreading without figure changes
- manuscript-wide claim restructuring that exceeds the figures themselves
Core Rule
Each main figure should earn its place by carrying one dominant claim.
If a figure cannot be summarized by one clean sentence, either:
- split it,
- demote part of it to the supplement,
- or rewrite the figure around a clearer claim.
Panel Roles
Assign each panel one primary role before writing the legend or Results paragraph:
- claim-supporting evidence
- methodological bridge or definition
- validation under a new regime
- ranking or benchmark comparison
- translational or practical consequence
- case illustration
- null or negative result, stated as a finding
Do not let one panel pretend to do three jobs at once.
Planning Order
- Write the single-sentence claim of the figure.
- List the minimum panels needed to support that claim.
- Assign each panel one role.
- Decide which panel is the anchor panel:
- the panel the Results paragraph should revolve around
- Move secondary detail to:
- another figure
- the supplement
- the legend
- Rewrite the figure title and legend to match the actual claim.
- Check that the Results subsection matches the same panel logic.
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.
- 29d ago Changed · +16 lines d257b2ef12ec
- 1mo ago Changed · +36 lines 5558bb885c30
- 2mo ago First seen · 180 lines · 45 tokens per session scan A 15b8c7dcba8c
figure-planner is a skill published in the GitHub repository Boom5426/Nature-Paper-Skills (641 stars, last pushed 16d ago), licensed MIT. It adds 45 tokens to every session and 2,278 once invoked, about $0.0002 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.
Other skills, from other repositories
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Submission-grade Nature/high-impact journal figure workflow for Python or R. Use whenever the user asks to create, revise, audit, or polish manuscript figures, multi-panel scientific plots, figures4papers-style matplotlib plots, or journal-ready SVG/PDF/TIFF outputs, especially for Nature-family or other high-impact…
creating-figures
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paper-poster-html
A workflow for building an academic conference poster as one HTML/CSS file and printing it to a PDF at an exact page size. It uses the paper’s real figures and checks layout details before review.
paperFig
Design, implement, revise, and validate publication-quality scientific figures from references, existing plotting code, and real project data. Trace every figure to source code and inputs; deconstruct reference figures; plan the scientific story and multi-panel structure; build complex model architecture and…
anti-defensive-writing-en
Stops defensive writing across the entire paper lifecycle — writing, revising, cutting, and organizing experiments. Treats the paper as a press conference, not a project summary, lab log, or self-audit: identify the single most publishable strength of the work and build the most favorable, complete, and persuasive…