analytics
analytics is an LLM evaluation & observability skill for AI agents, published by langwatch in the langwatch repository on GitHub. Skillspace rates analytics C (70/100) and it passed the safety scan; the rating is based on static analysis only.
Analyze your AI agent's performance using LangWatch analytics. Use when the user wants to understand costs, latency, error rates, usage trends, or debug specific traces. Works with any LangWatch-instrumented agent.
- Grade
- C
- Quality
- 70 / 100
- Safety
- Passed
- GitHub stars
- 3,368
Unproven: rated by static analysis only, not yet compared head-to-head.
Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: it is a near-duplicate variant of another skill. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- Apache-2.0
- Adoption
- Adopted by 1 other repositories, in 0 collections
- Scope
- Vendor-specific: built around one product. Queries LangWatch analytics for any instrumented agent
What the scanner flagged
- mentions secrets in text
Not checked yet
- Category is a classifier prediction; no model has read this skill 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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.