noton: A free and open documentation platform built with Laravel and Filament, enhanced by Ollama and OpenClaw

by bartvantuijn · Codex Skill · ★ 201

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

Security audit verdict: SAFE · quality 53/100

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.

dockerfilamentlaravelollamaopenclaw

Quick Facts

Stars201
Forks15
LanguagePHP
CategoryCodex Skill
Quality Score53/100
Last Updated2026-09-21
Created2025-04-23
Platformsdocker
Est. Tokens~16k

About noton

A free and open documentation platform built with [Laravel][laravel] and [Filament][filament], enhanced by [Ollama][ollama] and [OpenClaw][openclaw] for private AI features, focused on clarity, structure, and self-hosted simplicity.

Compatible Skills

These tools work well together with noton for enhanced workflows:

  • relaticle — semantic(0.27)+complementary+rare_topics+same_lang+similar_pop (64%)
  • laravel-vue-starter — semantic(0.35)+complementary+rare_topics+same_lang+similar_pop (57%)
  • atlas — semantic(0.32)+complementary+rare_topics+same_lang+similar_pop (56%)
  • laravel-gemini-translator — semantic(0.31)+complementary+rare_topics+same_lang+similar_pop (55%)
  • vizra-adk — semantic(0.29)+complementary+rare_topics+same_lang+similar_pop (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:

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