mindshub: The unified workspace where open-source models get things done for you

by mindsdb · MCP Server · ★ 39.8k

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

Security audit verdict: SAFE · quality 65/100

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. Full audit →

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.

agentsaiantonartificial-inteligenceclaudeclaude-coworkcodexcoworkdeepseekglm

Quick Facts

Stars39,835
Forks6,234
LanguageMakefile
CategoryMCP Server
LicenseMIT
Quality Score65/100
Open Issues8
Last Updated2026-10-23
Created2018-08-02
Platformsclaude-code, codex, mcp
Est. Tokens~17k

About mindshub

MindsHub The unified workspace where open-source models get things done for you. Make AI do actual work. Swap the model anytime — keep everything you've built. Website · Docs · Web app · Pricing · Discord MindsHub Cowork is the unified workspace where you delegate entire projects — apps, websites, research, analysis, reporting, scheduled operations — and collect finished, shareable

Compatible Skills

These tools work well together with mindshub for enhanced workflows:

  • eigent — semantic(0.35)+complementary+rare_topics+similar_pop+shared_platform (57%)
  • open-claude-cowork — semantic(0.28)+complementary+rare_topics+similar_pop+shared_platform (54%)
  • AionUi — semantic(0.23)+complementary+rare_topics+similar_pop+shared_platform (52%)
  • rowboat — semantic(0.18)+complementary+rare_topics+similar_pop+shared_platform (51%)

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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:

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