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 Azhi-ss/academic-figure-skills --skill academic-figure-designergit clone --depth 1 https://github.com/Azhi-ss/academic-figure-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/azhi-ss/academic-figure-skills/academic-figure-designer)<a href="https://agentmods.dev/skills/azhi-ss/academic-figure-skills/academic-figure-designer"><img src="https://agentmods.dev/badge/skills/azhi-ss/academic-figure-skills/academic-figure-designer/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/azhi-ss/academic-figure-skills/academic-figure-designer"><img src="https://agentmods.dev/badge/skills/azhi-ss/academic-figure-skills/academic-figure-designer.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 | $0.00071 | $0.02496 |
| Opus 5 | $0.00036 | $0.01248 |
| Sonnet 5 | $0.00014 | $0.00499 |
| Haiku 4.5 | $0.00007 | $0.00250 |
Grade A, and why
academic-figure-designer 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 12d 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 — 164 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Academic Figure Designer and Spec Engine
Design evidence-grounded academic figures, make semantic color & surface decisions, and compile clean academic-figure/FigureSpec@1 specifications and normalized structured rendering briefs. This skill serves as the single authoritative designer and prompt compiler for all figure styles.
Load only as needed:
- spec contract →
json-schema.mdandfigure-spec.schema.json - prompt compilation →
references/json-to-prompt.md - visual brief guidance →
references/image-prompt-guide.md - composition scaffolds →
references/prompt-templates.md - visual anchors & SVMC →
references/architecture-icons.md - palette/style fallback →
references/palettes.mdand optionalreferences/styles/ - missing evidence →
references/missing-info-policy.md
Supported Style Profiles
Select one canonical style_profile (or compose with layer overlays from docs/styles/):
classic-technical(经典学术框线风):- Clean white background, thin 1.5pt crisp outlines, restrained subtle tints (Okabe-Ito, Nature Blue, Cool Gray).
- High contrast, orthogonal alignment, strict box/arrow engineering topology.
- High-density tabular parameters and formal sans-serif typography (Helvetica/Inter).
pastel-airy-ui(现代柔彩空气风):- White canvas with floating white cards and faint borders.
- Generous negative space, floating pills/tokens (P1 Warm, P2 Cool, P3 Earthy), and lightweight curves.
- Interface-like feel without multi-level nested boxes.
illustrated-modular(编辑手绘模块风 / 有色语义分区图示风):- White canvas with content-driven soft-tinted semantic zones (I1 paired tokens:
{soft_fill, dark_outline, title_text, icon_accent}). - Strong same-hue 1.5–2.5px dark outlines and no drop shadows.
- Asymmetric hero region (~35–55% visual focus) with supporting modules arranged by real semantics.
- Content-grounded editorial line art tied to declared semantics.
- White canvas with content-driven soft-tinted semantic zones (I1 paired tokens:
reference-led(参考图驱动自由风格):- Extracts observable visual grammar (composition, marks, stroke, typography, illustration level, paired color fills/outlines) directly from a user-supplied reference image without copying proprietary content or topology.
What ships with it
17 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.
- figure-spec.schema.json 8.1 KB
- json-schema.md 8.5 KB
- references/architecture-icons.md 11 KB
- references/image-prompt-guide.md 5.4 KB
- references/json-to-prompt.md 7.7 KB
- references/missing-info-policy.md 1.0 KB
- references/palettes.md 21 KB
- references/prompt-templates.md 8.2 KB
- references/render-audit.md 7.5 KB
- references/styles/双保真度引导闭环风.md 7.2 KB
- references/styles/对比消融实验风.md 3.3 KB
- references/styles/有色语义分区图示风.md 5.2 KB
- references/styles/现代前沿技术框线风.md 3.4 KB
- references/styles/现代柔彩空气风.md 8.0 KB
- references/styles/编辑手绘模块风.md 11 KB
- scripts/clean_image_metadata.py 5.8 KB runs code
- scripts/validate_figure_spec.py 43 KB runs code
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.
- 12d ago First seen · 164 lines · 71 tokens per session scan A ca460f406ad9
academic-figure-designer is a skill published in the GitHub repository Azhi-ss/academic-figure-skills (103 stars, last pushed 9d ago), licensed MIT. It adds 71 tokens to every session and 2,496 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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