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 amElnagdy · Codex Skill · ★ 1.2k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is guard-skills safe to install? View the security audit →
guard-skills Focused guard skills for coding agents: second-pass quality gates that catch the systematic failure modes of AI-generated code, tests, and docs before they ship. Best use: let your agent do the work, then invoke the relevant guard on the diff before you present, commit, or merge it. These skills can guide writing when you explicitly ask for that, but they are strongest as reactive review passes. Install Browse the package first: Install the package: Or install one guard: Install for a specific agent: Install globally: Works with Claude Code, Codex, Cursor, OpenCode, and other supported agents via the Skills CLI.
| Stars | 1,153 |
| Forks | 136 |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 72.2828789880039/100 |
| Open Issues | 4 |
| Last Updated | 2026-07-04 |
| Created | 2026-06-06 |
| Platforms | claude-code, codex |
| Est. Tokens | ~9k |
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guard-skills is Guard skills for coding agents, quality gates that catch AI-generated failure modes in code, tests, and docs. It is categorized as a Codex Skill with 1.2k GitHub stars.
You can find installation instructions and usage details in the guard-skills GitHub repository at github.com/amElnagdy/guard-skills. The project has 1.2k stars and 136 forks, indicating an active community.
guard-skills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to guard-skills on Agent Skills Hub include agentsys, pilot-shell, claude-workflow-v2. 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: