buttercup-langfuse
buttercup-langfuse is an LLM evaluation & observability skill for AI agents, published by trailofbits in the buttercup repository on GitHub. Skillspace rates buttercup-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.
Buttercup-specific Langfuse wiring. Use when adding LLM tracing to a new LangChain/LangGraph entry point in this repo, attaching tags/metadata to existing chains, troubleshooting "no traces in Langfuse" against this codebase, or touching the Helm/values surface (`global.langfuse.*`, `langfuse-secret.yaml`, `common-env.yaml`). For platform-level Langfuse usage (CLI, instrumentation patterns generally, prompt migration, SDK upgrades), use the `langfuse` skill instead.
- Grade
- F
- Quality
- 45 / 100
- Safety
- Risky
- GitHub stars
- 1,615
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
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- High-risk patterns
- License
- AGPL-3.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- references sensitive credential env
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.