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 always-further · MCP Server · ★ 2.2k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is nono safe to install? View the security audit →
Built by the team that brought you Sigstore The standard for secure software attestation, used by PyPI, npm, brew, and Maven Central [!NOTE] In the lead-up to a 1.0 release, APIs are stabilizing. API change
| Stars | 2,238 |
| Forks | 157 |
| Language | Rust |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 67.7993425979246/100 |
| Open Issues | 120 |
| Last Updated | 2026-05-05 |
| Created | 2026-01-31 |
| Platforms | mcp, rust |
| Est. Tokens | ~4844k |
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nono is nono - a capability-based, multiplexing sandbox tool, built for developers - lift'n'shift seamless path to prod. Run agents securely without needing any additional infra, zero setup, zero latency.. It is categorized as a MCP Server with 2.2k GitHub stars.
nono is primarily written in Rust. It covers topics such as agent-sandbox, agent-security, ai-agent-sandbox.
You can find installation instructions and usage details in the nono GitHub repository at github.com/always-further/nono. The project has 2.2k stars and 157 forks, indicating an active community.
nono is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to nono on Agent Skills Hub include hol-guard, Adrian, medusa. 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: