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 Evolutionairy-AI · Agent Tool · ★ 31
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is MINDLAS safe to install? View the security audit →
Mindlas catches your coding agent drifting before the bad code lands. Real-time tracking and correction for context rot, unverified done claims, patch sprawl, and tool loops in your Claude Code session.
| Stars | 31 |
| Forks | 5 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 63.2082699037272/100 |
| Last Updated | 2026-09-30 |
| Created | 2026-07-14 |
| Platforms | claude-code, python |
| Est. Tokens | ~17k |
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MINDLAS is Mindlas catches your coding agent drifting before the bad code lands. Real-time tracking and correction for context rot, unverified done claims, patch sprawl, and tool loops in your Claude Code sessio. It is categorized as a Agent Tool with 31 GitHub stars.
MINDLAS is primarily written in Python. It covers topics such as agent-monitoring, agentic-workflow, agents.
You can find installation instructions and usage details in the MINDLAS GitHub repository at github.com/Evolutionairy-AI/MINDLAS. The project has 31 stars and 5 forks, indicating an active community.
The top alternatives to MINDLAS on Agent Skills Hub include contextrot, honeymux, claude-emporium. 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: