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 0xmariowu · Codex Skill · ★ 53
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is AgentLint safe to install? View the security audit →
AgentLint The linter for your agent harness. ESLint was for the code humans wrote.AgentLint is for the context agents read. 🌐 Site · Blog · Install · Demo · Harness 101 · Checks · Evidence · FAQ · 中文 Agent = Model + Harness. The model isn't the bottleneck anymore — the harness is. Your , , CI config, hooks, and are the harness. When they're wrong, Claude Code, Cursor, and Codex ship AI slop. When they're r
| Stars | 53 |
| Forks | 3 |
| Language | Shell |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 67.9851058548822/100 |
| Open Issues | 2 |
| Last Updated | 2026-07-24 |
| Created | 2026-04-02 |
| Platforms | claude-code, cli, codex |
| Est. Tokens | ~116k |
These tools work well together with AgentLint for enhanced workflows:
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AgentLint is The linter for your agent harness. Works with Claude Code, Codex, and Cursor.. It is categorized as a Codex Skill with 53 GitHub stars.
AgentLint is primarily written in Shell. It covers topics such as agent-friendly, agents-md, ai-agent.
You can find installation instructions and usage details in the AgentLint GitHub repository at github.com/0xmariowu/AgentLint. The project has 53 stars and 3 forks, indicating an active community.
AgentLint is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to AgentLint on Agent Skills Hub include aspens, harness-engineering, 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: