groundingLMM: [CVPR 2024 ] Grounding Large Multimodal Model, the first-of-its-kind model capable of generating natural

by mbzuai-oryx · Agent Tool · ★ 967

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Security audit verdict: SAFE · quality 61/100

Flagged: opens a tunnel service. 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.

foundation-modelsllm-agentlmmvision-and-languagevision-language-model

Quick Facts

Stars967
Forks56
LanguagePython
CategoryAgent Tool
LicenseApache-2.0
Quality Score61/100
Open Issues36
Last Updated2026-09-05
Created2023-11-02
Platformspython
Est. Tokens~15k

About groundingLMM

GLaMM : Pixel Grounding Large Multimodal Model [CVPR 2024] Hanoona Rasheed\, Muhammad Maaz\, Sahal Shaji, Abdelrahman Shaker, Salman Khan, Hisham Cholakkal, Rao M. Anwer, Eric Xing, Ming-Hsuan Yang and Fahad Khan Mohamed bin Zayed University of AI, Australian National University, Aalto University, Carnegie Mellon University, University of California - Merced, Linköping University, Google Research...

Compatible Skills

These tools work well together with groundingLMM for enhanced workflows:

  • vllm-mlx — semantic(0.32)+complementary+rare_topics+same_lang+similar_pop+shared_platform (61%)
  • MLLM-Tool — semantic(0.18)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)
  • app-controller — semantic(0.23)+complementary+same_lang+similar_pop+shared_platform (53%)
  • mcp-ical — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (51%)
  • OpenAdapt — semantic(0.15)+complementary+same_lang+similar_pop+shared_platform (50%)

groundingLMM alternative? Top 6 similar tools

Looking for a groundingLMM alternative? If you're comparing groundingLMM with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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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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