llm-cost-optimizer
llm-cost-optimizer is an LLM evaluation & observability skill for AI agents, published by vellum-ai in the vellum-assistant repository on GitHub. Skillspace rates llm-cost-optimizer D (61/100) and it passed the safety scan; the rating is based on static analysis only.
Analyze and reduce LLM spend: read usage breakdowns by call site, model, and inference profile, understand single-winner profile resolution, and pin call sites to managed profiles (Balanced / Quality / Speed) only where they should deviate from shipped defaults.
- Grade
- D
- Quality
- 61 / 100
- Safety
- Passed
- GitHub stars
- 886
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, so go by its current files.
Our review
- Architecture
- 94 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- 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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