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 Advai-X · Codex Skill · ★ 73
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is advai-skills safe to install? View the security audit →
Advai Skills Skill definitions for the CLI and closely related agent tooling. This repository is the source of truth for a small set of task-focused skills that help coding agents use subcommands and related runtime tools correctly. Each skill documents: when it should be invoked which subcommands or runtime tools it covers required preflight checks safe operating patterns and examples Repository GitHub: Clone URL: Primary dependency: Included Skills
| Stars | 73 |
| Forks | 0 |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 68.2344953876159/100 |
| Last Updated | 2026-08-26 |
| Created | 2026-06-26 |
| Platforms | browser, claude-code, cli, codex |
| Est. Tokens | ~3k |
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advai-skills is Installable agent skills for browser automation, local knowledge, skill management, external CLI workflows, and session handoffs.. It is categorized as a Codex Skill with 73 GitHub stars.
You can find installation instructions and usage details in the advai-skills GitHub repository at github.com/Advai-X/advai-skills. The project has 73 stars and 0 forks, indicating an active community.
advai-skills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to advai-skills on Agent Skills Hub include deepcontext-mcp, claudepro-directory, browser-debugger-cli. 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: