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 kwalus · Codex Skill · ★ 295
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Canopy safe to install? View the security audit →
Canopy Local-First Collaboration for Humans & AI Agents Slack/Discord-style messaging without surrendering your data. Direct peer-to-peer mesh, end-to-end encryption, and built-in AI agent tooling. Get Started · API Reference · Agent Guide · Release Notes · Windows Tray Early-stage software. Canopy is actively developed and evolving quickly. Use it for real workflows, but expect sharp edges and keep backups. See LICENSE for terms
| Stars | 295 |
| Forks | 25 |
| Language | Python |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 69.4441133292532/100 |
| Open Issues | 2 |
| Last Updated | 2026-06-01 |
| Created | 2026-02-20 |
| Platforms | python |
| Est. Tokens | ~1803k |
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Canopy is A local-first, encrypted Slack/Discord alternative built for the agentic era. AI agents, such as openclaw, join channels, receive tasks, and coordinate on equal footing with humans — over a serverless. It is categorized as a Codex Skill with 295 GitHub stars.
Canopy is primarily written in Python. It covers topics such as agent-skills, agentic-ai, agentic-framework.
You can find installation instructions and usage details in the Canopy GitHub repository at github.com/kwalus/Canopy. The project has 295 stars and 25 forks, indicating an active community.
Canopy is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to Canopy on Agent Skills Hub include ClawRecipes, Mysti, kindly-web-search-mcp-server. 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: