manga-generator: 原作から脚本・画像生成・組版・PDF出力まで進める、Codex向け漫画制作ツール

by stockedge · Codex Skill · ★ 111

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

Security audit verdict: SAFE · quality 56/100

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.

ai-agentsai-comicai-comicsai-mangacharacter-consistencyclaude-codecodexcomfyuicomic-creationcomic-generation

Quick Facts

Stars111
Forks19
LanguageJavaScript
CategoryCodex Skill
LicenseMIT
Quality Score56/100
Open Issues1
Last Updated2026-10-26
Created2026-10-22
Platformsclaude-code, codex, node
Est. Tokens~13k

About manga-generator

Manga Generator English | 日本語 小説や文章の原作から、脚本・ネーム・画像生成・文字入れ・検品・PDF出力までをCodexと進める漫画制作ツールです。 文字や吹き出しを絵と分けて配置するため、後から台詞を直しやすい仕組みです。 完成原稿の例：『クラスの高嶺の花に俺の小説アカウントがバレた』冒頭の２コマ。画像生成後にセリフと吹き出しを組版しています。 制作例 Amazonの作品ページ Xで公開している漫画 英語の導入・制作例 はじめかた（3ステップ） 環境の準備から漫画の制作まで、コマンド操作はCodexに任せられます。 準備を依頼する：下の枠内の文章をコピーして、Codexの新しいチャットに送ります。 案内に従う：必要なソフトの確認と導入が自動で進みます。OSの許可画面などが出た場合や、Codexから操作の案内があった場合のみ対応してください。...

Compatible Skills

These tools work well together with manga-generator for enhanced workflows:

  • mangav — semantic(0.36)+complementary+rare_topics+similar_pop+shared_platform (66%)
  • novella — semantic(0.36)+complementary+rare_topics+similar_pop+shared_platform (66%)
  • codex-image-context-runtime — semantic(0.30)+complementary+rare_topics+same_lang+similar_pop+shared_platform (65%)
  • agent-storyboard — semantic(0.25)+complementary+rare_topics+same_lang+similar_pop+shared_platform (63%)

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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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