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 tomasz-tomczyk · Agent Tool · ★ 1.1k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is crit safe to install? View the security audit →
Crit Review and comment on plans, code diffs, frontend elements and send feedback directly to your agent. Adaptive UI for each type of output For agents, plans and code are all the same - it's just text, but for us, humans, reviewing generated plans and reviewing web application are two very different activities. Crit adds a proper interface for each type of output and lets you point at the exact thing that is wrong and leave a comment for the agent to fix: renders a markdown file with proper formatting and review UI auto-detects git changes and shows syntax-highlighted diffs for local review. proxies your running app and adds a review i
| Stars | 1,112 |
| Forks | 90 |
| Language | Go |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 66.9261031109751/100 |
| Open Issues | 15 |
| Last Updated | 2026-09-22 |
| Created | 2026-02-16 |
| Platforms | cli, go |
| Est. Tokens | ~21k |
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crit is Your feedback loop with the agent. It is categorized as a Agent Tool with 1.1k GitHub stars.
crit is primarily written in Go. It covers topics such as agentic-coding, ai-agents, ai-tools.
You can find installation instructions and usage details in the crit GitHub repository at github.com/tomasz-tomczyk/crit. The project has 1.1k stars and 90 forks, indicating an active community.
crit is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to crit on Agent Skills Hub include readme-ai, smart-ralph, roam-code. 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: