Canopy: A local-first, encrypted Slack/Discord alternative built for the agentic era

by kwalus · Codex Skill · ★ 301

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install Canopy

git clone https://github.com/kwalus/Canopy.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 69/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

agent-skillsagentic-aiagentic-frameworkagentic-systemsagentic-workflowaiai-agentsai-toolsopenclawopenclaw-agent

Quick Facts

Stars301
Forks25
LanguagePython
CategoryCodex Skill
LicenseApache-2.0
Quality Score69/100
Open Issues2
Last Updated2026-06-01
Created2026-02-20
Platformspython
Est. Tokens~1803k

About Canopy

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.

Compatible Skills

These tools work well together with Canopy for enhanced workflows:

  • universal-intelligence — semantic(0.26)+complementary+rare_topics+same_lang+similar_pop+shared_platform (58%)
  • agentic-radar — semantic(0.23)+complementary+rare_topics+same_lang+similar_pop+shared_platform (58%)
  • mcp-agent-graph — semantic(0.22)+complementary+rare_topics+same_lang+similar_pop+shared_platform (57%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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:

View on GitHub → Browse Codex Skill tools