festival: Vibe Engineering Framework, Organize your intent, loop your work and achieve the outcome you want from AI

by Obedience-Corp · Codex Skill · ★ 104

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

How to install festival

npm install -g @obedience-corp/festival
brew install --cask Obedience-Corp/tap/festival

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

Security audit verdict: SAFE · quality 66/100

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-skillsaiai-agentsai-toolsai-workflowai-workspaceautonomous-agentscampclaude-codecli

Quick Facts

Stars104
Forks10
LanguageShell
CategoryCodex Skill
LicenseApache-2.0
Quality Score66/100
Open Issues4
Last Updated2026-10-30
Created2025-09-09
Platformsclaude-code, cli, codex
Est. Tokens~14k

About festival

Festival A standardized workspace and workflow for solving difficult, multi-faceted problems with AI. To use AI to solve hard problems you need three things: context, direction, and verification. Festival provides a structured layer for each, resulting in dramatically fewer tokens and less time spent getting to the outcome you want. Get started (takes 5 minutes).

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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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