multimind-sdk: Your SDK solves all of this

by multimindlab · Agent Tool · ★ 97

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

How to install multimind-sdk

pip install multimind-sdk
pip install multimind-sdk[compliance]

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 61/100

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.

agentic-aiagentic-frameworkagentsaiai-agentsdeep-learningfine-tuningfine-tuning-llmframeworklangchain-alternative

Quick Facts

Stars97
Forks17
LanguagePython
CategoryAgent Tool
LicenseApache-2.0
Quality Score61/100
Open Issues37
Last Updated2026-10-12
Created2025-05-12
Platformspython
Est. Tokens~19k

About multimind-sdk

MultiMind SDK: The Future of AI Development 🚀 Multi-Model AI • RAG Systems • Vector Databases • Agent Framework • Fine-Tuning • Enterprise Compliance Transparent, honest, and production-ready AI development toolkit 🚧 Project Status: In Ac

Compatible Skills

These tools work well together with multimind-sdk for enhanced workflows:

  • Odyssey — semantic(0.41)+complementary+rare_topics+same_lang+similar_pop+shared_platform (68%)
  • LLM-Finetuning-Toolkit — semantic(0.44)+complementary+rare_topics+same_lang+similar_pop+shared_platform (65%)
  • VisualAgentBench — semantic(0.31)+complementary+rare_topics+same_lang+similar_pop+shared_platform (60%)

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  • Agentic-AI-Systems by alirezadir · ⭐ 477

    Practical system design, tools, and hands-on resources for building Gen-AI agents & agentic AI systems.

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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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