langfuse
langfuse is an LLM evaluation & observability skill for AI agents, published by avivsinai in the langfuse-mcp repository on GitHub. Skillspace rates langfuse 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.
Debug AI agents and LLM applications via Langfuse MCP. Use when investigating traces, exceptions, slow generations, sessions, prompt versions, datasets, or evaluation sets. Triggers on "langfuse", "traces", "debug AI", "find exceptions", "what went wrong", "why is it slow", "datasets", "evaluation sets".
- Grade
- F
- Quality
- 45 / 100
- Safety
- Risky
- GitHub stars
- 100
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.
Our review
- Architecture
- 100 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- High-risk patterns
- License
- MIT
- Adoption
- Adopted by 1 other repositories, in 1 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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.