openrouter-usage-analytics
openrouter-usage-analytics is an LLM evaluation & observability skill for AI agents, published by jeremylongshore in the claude-code-plugins-plus-skills repository on GitHub. Skillspace rates openrouter-usage-analytics B (80/100) and it passed the safety scan; the rating is based on static analysis only.
Track and analyze OpenRouter API usage patterns, costs, and performance. Use when building dashboards, optimizing spend, or reporting on AI usage. Triggers: 'openrouter analytics', 'openrouter usage', 'openrouter metrics', 'track openrouter spend'.
- Grade
- B
- Quality
- 80 / 100
- Safety
- Passed
- GitHub stars
- 2,518
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
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
- Packaged: licensed, with a version or references
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 1 collections
- Scope
- Vendor-specific: built around one product. Analyzes usage/cost on the public OpenRouter API product.
What the scanner flagged
- over-broad allowed-tools ('*')
- mentions secrets in text
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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