FloTorch: Open-source tool for optimizing Generative AI workloads on AWS

by FissionAI · Agent Tool · ★ 265

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

Security audit verdict: SAFE · quality 59/100

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.

Quick Facts

Stars265
Forks44
LanguagePython
CategoryAgent Tool
LicenseApache-2.0
Quality Score59/100
Open Issues46
Last Updated2025-06-30
Created2024-12-18
Platformsaws, python
Est. Tokens~2894k

About FloTorch

What is FloTorch? FloTorch is an innovative product poised to transform the field of Generative AI by simplifying and optimizing the decision-making process for leveraging Large Language Models (LLMs) in Retrieval Augmented Generation (RAG) systems. In today’s fast-paced digital landscape, selecting the right LLM setup is critical for achieving efficiency, accuracy, and cost-effectiveness.

Compatible Skills

These tools work well together with FloTorch for enhanced workflows:

  • ai-microcore — semantic(0.18)+complementary+same_lang+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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