story-skills: Agent Skills for end-to-end story writing in markdown, packaged as Codex and Claude Code plugins

by danjdewhurst · Claude Skill · ★ 333

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

How to install story-skills

/plugin marketplace add danjdewhurst/story-skills
/plugin install story-skills@story-skills

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 68/100

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-skillsai-agentsclaude-code-pluginclaude-skillscodexcodex-plugincontinuitycreative-writingfiction-writingmarkdown

Quick Facts

Stars333
Forks53
LanguageJavaScript
CategoryClaude Skill
LicenseMIT
Quality Score68/100
Last Updated2026-10-20
Created2026-02-12
Platformsclaude-code, codex, node
Est. Tokens~16k

About story-skills

✨ Story Skills Agent Skills for planning, tracking, and drafting fiction in markdown. Story Skills gives agents a shared project format for fiction: a story bible, character files, worldbuilding notes, factions, artifacts, plot arcs, scene state, continuity questions, promises/payoffs, timelines, and chapter drafts.

Compatible Skills

These tools work well together with story-skills for enhanced workflows:

  • tianming-skill — semantic(0.36)+complementary+rare_topics+similar_pop+shared_platform (57%)
  • NovelClaw — semantic(0.45)+complementary+rare_topics+similar_pop (55%)
  • agentops — semantic(0.25)+complementary+rare_topics+similar_pop+shared_platform (53%)

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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