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 juyterman1000 · MCP Server · ★ 466
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is entroly safe to install? View the security audit →
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| Stars | 466 |
| Forks | 69 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 61.1988777294361/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-22 |
| Created | 2026-03-07 |
| Platforms | claude-code, codex, mcp, python |
| Est. Tokens | ~19k |
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entroly is Cut AI context cost without trusting the compressor. Every reduction is reversible, byte-exact recoverable, and carries an auditable receipt. Local-first, works through proxy, MCP, SDK, or agent wrapp. It is categorized as a MCP Server with 466 GitHub stars.
entroly is primarily written in Python. It covers topics such as agent, ai-agents, ai-coding-agents.
You can find installation instructions and usage details in the entroly GitHub repository at github.com/juyterman1000/entroly. The project has 466 stars and 69 forks, indicating an active community.
entroly is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to entroly on Agent Skills Hub include openloomi, omni, tokless. 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: