sci-figure-workflow: Claude Code Skill: AIGC 科研绘图 4 步工作流— 把顶会论文配图从半天压缩到 10 分钟,产出可编辑 .drawio/.pptx/.svg

by james20141606 · Claude Skill · ★ 39

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Security audit verdict: SAFE · quality 55/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

Quick Facts

Stars39
Forks1
CategoryClaude Skill
Quality Score55/100
Last Updated2026-04-25
Created2026-04-25
Platformsclaude-code, gemini
Est. Tokens~2k

About sci-figure-workflow

Claude Code Skill: AIGC 科研绘图 4 步工作流(GPT-image-2 × Gemini Vision × Nano Banana 2 × draw.io)— 把顶会论文配图从半天压缩到 10 分钟,产出可编辑 .drawio/.pptx/.svg

Compatible Skills

These tools work well together with sci-figure-workflow for enhanced workflows:

  • mcp-image — semantic(0.43)+complementary+similar_pop+shared_platform (55%)
  • image-gen-mcp — semantic(0.42)+complementary+similar_pop+shared_platform (55%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

View on GitHub → Browse Claude Skill tools