toh-framework: Type one sentence, approve once, walk away — Toh Framework installs an AI build department into your project

by wasintoh · Codex Skill · ★ 95

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

How to install toh-framework

npx toh-framework install
npx toh-framework install --quick

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 62/100

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.

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-skillsagenticagentic-workflowaiai-agentsantigravityautonomous-agentsclaudeclaude-codecli

Quick Facts

Stars95
Forks19
LanguageJavaScript
CategoryCodex Skill
LicenseMIT
Quality Score62/100
Last Updated2026-09-02
Created2025-11-27
Platformsclaude-code, cli, codex, node
Est. Tokens~17k

About toh-framework

"Type Once, Have it all!" — AI-Orchestration Driven Development Approve once. Walk away. Come back to a finished, verified app. Toh Framework installs an AI "build department" into your project: 14 slash commands, 8 specialist agents, and 23 skills — configured for Claude Code, Cursor, Antigravity, Codex, and ZCode in one install.

Compatible Skills

These tools work well together with toh-framework for enhanced workflows:

  • antigravity-workflows — semantic(0.26)+complementary+same_lang+similar_pop+shared_platform (59%)
  • agent-starter — semantic(0.26)+complementary+same_lang+similar_pop+shared_platform (59%)

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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 Codex Skill tools