minorun-marp-skill: Marpで登壇スライドを作るための、ストーリー・図・デザインバランスのスキル集と黒地テーマ、検査ツール

by minorun365 · Agent Tool · ★ 410

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 65/100

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.

agent-skillsclaude-codemarppresentation

Quick Facts

Stars410
Forks16
LanguagePython
CategoryAgent Tool
LicenseApache-2.0
Quality Score65/100
Last Updated2026-10-21
Created2026-09-20
Platformsclaude-code, python
Est. Tokens~13k

About minorun-marp-skill

minorun-marp-skill 登壇スライドを Marp で作るときの、ストーリー・図・デザインバランスの型をまとめたものです。AIエージェント（Claude Code など）に読ませるスキルの形にしてあり、人が読んでもそのまま使えます。 AIにスライドを書かせると、体裁は整うのに話が薄くなりがちです。作者（@minorun365）が自分の登壇資料を作るなかで、エージェントへ繰り返し伝えてきた直し方を、規則と検査スクリプトに落としました。 中身 使い方 Claude Code で使うなら、 の3つを自分のスキル置き場へコピーします。 テーマと検査スクリプトは、スライドを置くリポジトリへ と ごとコピーしてください。 検査スクリプトが使うもの: Marp CLI（）と Google Chrome poppler（ ）と mupdf-tools（）。macOS なら Python 3 と

Compatible Skills

These tools work well together with minorun-marp-skill for enhanced workflows:

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  • zhuangxiu-skills — semantic(0.48)+complementary+same_lang+similar_pop+shared_platform (67%)
  • claude-prime — semantic(0.43)+complementary+same_lang+similar_pop+shared_platform (65%)
  • reddit-research-skills — semantic(0.42)+complementary+same_lang+similar_pop+shared_platform (65%)

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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:

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