agentlego: Enhance LLM agents with rich tool APIs

by InternLM · Agent Tool · ★ 415

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

How to install agentlego

pip install agentlego

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 70/100

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.

large-language-modelsllmllm-agents

Quick Facts

Stars415
Forks35
LanguagePython
CategoryAgent Tool
LicenseApache-2.0
Quality Score70/100
Open Issues7
Last Updated2024-09-13
Created2023-05-18
Platformspython
Est. Tokens~302k

About agentlego

English | 简体中文 Introduction Quick Starts Installation Use tools directly Integrated into agent frameworks Supported Tools Licence Introduction AgentLego is an open-source library of versatile tool APIs to extend and enhance large language model (LLM) based agents, with the following highlight features: Rich set of tools for multimodal extensions of LLM agents including visual perception, image...

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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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