litellm-skills — security grade SAFE, quality 71/100

Security audit verdict: SAFE · quality 71/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by BerriAI · MCP Server · ★ 88

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

🔒 Is litellm-skills safe to install? View the security audit →

About litellm-skills

litellm skills Agent Skills for managing live LiteLLM proxy deployments. Requires . Install Skills Users Teams API Keys Organizations Models Add any LLM provider (OpenAI, Az

Quick Facts

Stars88
Forks14
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score70.6691355929454/100
Open Issues1
Last Updated2026-05-07
Created2026-03-14
Platformsmcp, python
Est. Tokens~3k

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Frequently Asked Questions

What is litellm-skills?

litellm-skills is Agent Skills for managing live LiteLLM proxy deployments — users, teams, keys, orgs, models, MCP servers, agents. It is categorized as a MCP Server with 88 GitHub stars.

What programming language is litellm-skills written in?

litellm-skills is primarily written in Python.

How do I install or use litellm-skills?

You can find installation instructions and usage details in the litellm-skills GitHub repository at github.com/BerriAI/litellm-skills. The project has 88 stars and 14 forks, indicating an active community.

What license does litellm-skills use?

litellm-skills is released under the MIT license, making it free to use and modify according to the license terms.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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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