ai-development-patterns: A comprehensive collection of AI development patterns for building software with AI assistance, organized

by PaulDuvall · Agent Tool · ★ 672

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

Security audit verdict: SAFE · quality 67/100

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-assisted-codingai-developmentai-toolsartificial-intelligenceautomationbest-practicesci-cdcoding-standardsdeveloper-productivitydevelopment-patterns

Quick Facts

Stars672
Forks56
LanguagePython
CategoryAgent Tool
LicenseMIT
Quality Score67/100
Open Issues10
Last Updated2026-11-02
Created2025-06-15
Platformspython
Est. Tokens~25k

About ai-development-patterns

AI Development Patterns A comprehensive collection of patterns based on my experience for building software with AI assistance, organized by implementation maturity and development lifecycle phases. These patterns are subject to change as the field evolves.

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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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