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 sollawen · Claude Skill · ★ 55
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is microNeo safe to install? View the security audit →
microNeo -- AI Partner []() The terminal editor that can discuss with AI agents Since vibe coding, I write code by hand less and less, and spend more and more time discussing with the AI. I always need to tell the AI exactly which part of a document I have thoughts about. I have to ctrl-c/ctrl-v all day long — it's given my fingers tendonitis. So here comes microNeo, an AI Partner. Open a markdown document with microNeo and select the text you want to comment on Press to open the input box, and write down your thoughts Press again to send it to the AI. The AI will then receive your comment. https://github.com/user-attachments/assets/95fa3c8f-fd3c-49f7-aa14-06cb12dca2bb Currently supports , , and . However, since is not open source, it works but isn't perfect. One-line Install bash curl -fsSL https://raw.githubusercontent.com/solla
| Stars | 55 |
| Forks | 2 |
| Language | Go |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 52.0310638192928/100 |
| Open Issues | 4 |
| Last Updated | 2026-08-16 |
| Created | 2026-05-31 |
| Platforms | claude-code, cli, go |
| Est. Tokens | ~15k |
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microNeo is The terminal editor that can discuss with OpenCode and Pi. It is categorized as a Claude Skill with 55 GitHub stars.
microNeo is primarily written in Go. It covers topics such as claude-code, cli, cross-platform.
You can find installation instructions and usage details in the microNeo GitHub repository at github.com/sollawen/microNeo. The project has 55 stars and 2 forks, indicating an active community.
microNeo is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to microNeo on Agent Skills Hub include gob, toktrack, vibepod-cli. 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: