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 emanueleielo · Agent Tool · ★ 76
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is ciana-parrot safe to install? View the security audit →
Self-hosted AI assistant with multi-channel support, scheduled tasks, and extensible skills. CianaParrot is a self-hosted AI personal assistant that runs on your own infrastructure — sandboxed inside Docker, but connected to your OS through secure bridges. Built on the DeepAgents framework with LangChain/LangGraph, it combi
| Stars | 76 |
| Forks | 17 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 64.9167246137521/100 |
| Last Updated | 2026-04-20 |
| Created | 2026-02-15 |
| Platforms | claude-code, docker, python |
| Est. Tokens | ~82k |
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ciana-parrot is Self-hosted AI assistant with multi-channel support, scheduled tasks, and extensible skills. It is categorized as a Agent Tool with 76 GitHub stars.
ciana-parrot is primarily written in Python. It covers topics such as ai-agent, ai-assistant, automation.
You can find installation instructions and usage details in the ciana-parrot GitHub repository at github.com/emanueleielo/ciana-parrot. The project has 76 stars and 17 forks, indicating an active community.
ciana-parrot is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to ciana-parrot on Agent Skills Hub include chibi, daymon, lazy-bird. 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: