awesome-ai-coding-techniques: Practical techniques for coding with ai assistants (Claude Code, Codex CLI, Cursor, GitHub Copilot, etc)

by inmve · Codex Skill · ★ 349

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.

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.

aiai-agentsai-codingai-toolsawesomeawesome-listbest-practicesclaude-codecodexcoding-assistant

Quick Facts

Stars349
Forks27
CategoryCodex Skill
Quality Score53/100
Open Issues16
Last Updated2025-11-26
Created2025-08-24
Platformsclaude-code, cli, codex
Est. Tokens~53k

About awesome-ai-coding-techniques

Available Languages: English Português Active Development - Updated November 26, 2025 coding-with-ai.dev Awesome AI Coding Techniques Practical techniques for coding with AI - Community-driven and practitioner-tested This resource organizes techniques for working with coding assistants by development stage (from requirements and planning through review and refactoring).

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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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