Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/Azhi-ss/academic-figure-skillsnpx agentmods add skills/azhi-ss/academic-figure-skills/academic-figure-workflowWrote 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-workflow)<a href="https://agentmods.dev/skills/azhi-ss/academic-figure-skills/academic-figure-workflow"><img src="https://agentmods.dev/badge/skills/azhi-ss/academic-figure-skills/academic-figure-workflow/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-workflow"><img src="https://agentmods.dev/badge/skills/azhi-ss/academic-figure-skills/academic-figure-workflow.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 | $0.00048 | $0.02670 |
| Opus 5 | $0.00024 | $0.01335 |
| Sonnet 5 | $0.00010 | $0.00534 |
| Haiku 4.5 | $0.00005 | $0.00267 |
Grade A, and why
academic-figure-workflow 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 — 208 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Academic Figure Workflow
Produce a grounded academic figure and a stable local artifact. Preserve the user's chosen backend, reference assets, style direction, review preference, and output scope.
Load only what the current stage needs:
- missing evidence →
references/missing-info-policy.md - palette/style fallback →
references/palettes.mdand, when installed,references/styles/ - Codex native image execution →
references/codex-image-workflow.md - render inspection →
references/render-audit.mdwhen present
Route inputs by inspected content
A URL is not automatically a repository. Inspect it first.
| Input | Route | Execution Behavior |
|---|---|---|
| Direct User Architecture (Passthrough) | ../academic-figure-designer/SKILL.md |
Skip analyzers. User gave explicit nodes/flow; compile FigureSpec v1 and render directly. |
| Draft Notes / Outline / Partial Draft | ../academic-figure-draft-analyzer/SKILL.md |
Draft-to-Figure Fast-Track. For rough notes, outlines, or sections without full results: focus on Figure 1 framework. |
| Complete Manuscript (Markdown / LaTeX / PDF / URL) | ../academic-figure-draft-analyzer/SKILL.md |
Full Planning. For complete papers with experiments/results: multi-figure strategy, claim verification, and constraints. |
| Repository path or repository URL | ../academic-repo-analyzer/SKILL.md |
Extract semantic architecture graph; omit engineering plumbing (data loaders, trainers). |
| Paper plus repository | Hybrid | Paper/user defines narrative & topology; repository supplies parameter & dimension verification. |
| Reference figure or existing render | ../academic-figure-architecture-extractor/SKILL.md |
Extract transferable Style Grammar; drop reference's method labels and content. |
For an article URL, use an available web/browser/document reader to obtain the paper text, captions, and linked figures. For a PDF, use a PDF-capable reader for paper content and the architecture extractor only for figure images. If a sibling skill is missing, perform the minimum equivalent analysis and mark the degraded path.
What ships with it
11 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.
- prompts/figure-worker.md 4.4 KB
- references/codex-image-workflow.md 8.7 KB
- references/missing-info-policy.md 1.0 KB
- references/palettes.md 21 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
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 · 208 lines · 48 tokens per session scan A 6af4c2258c35
academic-figure-workflow is a skill published in the GitHub repository Azhi-ss/academic-figure-skills (103 stars, last pushed 9d ago), licensed MIT. It adds 48 tokens to every session and 2,670 once invoked, about $0.0002 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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