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 nowledge-co · Codex Skill · ★ 182
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is community safe to install? View the security audit →
Nowledge Community Community integrations for Nowledge Mem Registry The canonical source of truth for all integrations is . Capabilities, install commands, transport, tool naming, thread save methods, and the user-facing autonomy contract are tracked there. Update the registry first when adding or modifying integrations. The autonomy contract uses one shared language across integrations: : the host/plugin enforces it through hooks or lifecycle wiring : the package/rules/skills strongly teach it, but the model still decides : it only happens when the user or agent asks directly This keeps one critical distinction honest for fresh users: having tools available is not the same thing as getting autonomous memory behavior. For behavioral guidance (when to read Context Bundle, use Working Memory fallback, search, save, and route ambient spaces), see . For plugin authorin
| Stars | 182 |
| Forks | 37 |
| Language | Python |
| Category | Codex Skill |
| Quality Score | 60.5313863273722/100 |
| Open Issues | 188 |
| Last Updated | 2026-10-01 |
| Created | 2025-08-07 |
| Platforms | claude-code, cli, gemini, python |
| Est. Tokens | ~17k |
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community is Community Repo for Nowledge Labs Products. It is categorized as a Codex Skill with 182 GitHub stars.
community is primarily written in Python. It covers topics such as agent-memory, alma, claude-code.
You can find installation instructions and usage details in the community GitHub repository at github.com/nowledge-co/community. The project has 182 stars and 37 forks, indicating an active community.
The top alternatives to community on Agent Skills Hub include memorix, digital-marketing-pro, zapier-mcp. 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: