llm-integrations
llm-integrations is an LLM app frameworks & APIs skill for AI agents, published by Omar-Obando in the qwen-orchestrator repository on GitHub. Skillspace rates llm-integrations F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.
Risky. This skill has patterns associated with unsafe behaviour. Read the source carefully before running it.
Use when integrating LLM providers (OpenAI, DeepSeek, OpenRouter, Anthropic, Google), configuring API keys, optimizing costs, implementing rate limiting, and managing LLM usage across projects. Includes best practices for cost optimization and API management. Based on OpenAI, Anthropic, Google, and other LLM provider official documentation.
- Grade
- F
- Quality
- 45 / 100
- Safety
- Risky
- GitHub stars
- 36
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since.
Our review
- Architecture
- 94 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- High-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- references sensitive credential env
- mentions secrets in text
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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