ai-driven-dev-community — security grade SAFE, quality 45/100

Security audit verdict: SAFE · quality 45/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by ai-driven-dev · Agent Tool · ★ 169

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

🔒 Is ai-driven-dev-community safe to install? View the security audit →

About ai-driven-dev-community

AI Driven Dev Community La communauté s'est agrandie ! Retrouver désormais la v2 du dépôt dans notre organisation AI-Driven Dev. ❤️

aigenaipromptssoftware-developmentsoftware-engineering

Quick Facts

Stars169
Forks24
LanguageShell
CategoryAgent Tool
Quality Score45.3251877963421/100
Open Issues1
Last Updated2024-11-23
Created2023-11-19
Platformscli
Est. Tokens~1144k

Compatible Skills

These tools work well together with ai-driven-dev-community for enhanced workflows:

  • SWE-AF — semantic(0.23)+complementary+rare_topics+similar_pop+shared_platform (48%)

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Frequently Asked Questions

What is ai-driven-dev-community?

ai-driven-dev-community is A collection of tools, prompts, snippets and agents for developers that use AI, daily.. It is categorized as a Agent Tool with 169 GitHub stars.

What programming language is ai-driven-dev-community written in?

ai-driven-dev-community is primarily written in Shell. It covers topics such as ai, genai, prompts.

How do I install or use ai-driven-dev-community?

You can find installation instructions and usage details in the ai-driven-dev-community GitHub repository at github.com/ai-driven-dev/ai-driven-dev-community. The project has 169 stars and 24 forks, indicating an active community.

What are the best alternatives to ai-driven-dev-community?

The top alternatives to ai-driven-dev-community on Agent Skills Hub include remind, agentic-design-patterns, sdk-typescript. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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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