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 Agile-V · Agent Tool · ★ 54
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is agile_v_skills safe to install? View the security audit →
Agile V™ Agent Skills Library 🔬 Verifiable AI-Augmented Engineering - Stop AI Hallucinations with Formal Traceability 🎯 The Problem with AI Agents
| Stars | 54 |
| Forks | 10 |
| Language | Python |
| Category | Agent Tool |
| License | CC-BY-SA-4.0 |
| Quality Score | 68.1306428250765/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-17 |
| Created | 2026-02-05 |
| Platforms | claude-code, python, vscode |
| Est. Tokens | ~25k |
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agile_v_skills is Agent Skills for traceable requirements, independent verification, human approval gates, and auditable AI-assisted engineering. Supports Claude Code, Cursor, VS Code, and GitHub Copilot; ISO 9001/2700. It is categorized as a Agent Tool with 54 GitHub stars.
agile_v_skills is primarily written in Python. It covers topics such as agent-skills, agile, ai-agents.
You can find installation instructions and usage details in the agile_v_skills GitHub repository at github.com/Agile-V/agile_v_skills. The project has 54 stars and 10 forks, indicating an active community.
agile_v_skills is released under the CC-BY-SA-4.0 license, making it free to use and modify according to the license terms.
The top alternatives to agile_v_skills on Agent Skills Hub include agent-skills-cli, agent-skills, awesome-ai-agent-skills. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
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: