Authors and runs Promptfoo evals for LLM prompts and RAG pipelines - wires `promptfooconfig.yaml` providers + prompts + tests + assertions (deterministic `equals` / `contains` / `is-json` / `regex`, semantic `similar`, model-graded `llm-rubric` / `factuality` / `g-eval`, performance `latency` / `cost`, custom `javascript` / `python`), runs `npx promptfoo eval`, views HTML report via `promptfoo view`, and integrates CI for regression gating. Use when the user runs Promptfoo, asks about prompt regression suites, or needs an eval-driven workflow for LLM-backed features.
73
92%
Does it follow best practices?
Run evals on this skill
Adds up to 20 points to the overall score
View guide
Low
Low-risk findings worth noting
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
The skill fetches instructions or code from an external URL at runtime, and the fetched content directly controls the agent’s prompts or executes code. This dynamic dependency allows the external source to modify the agent’s behavior without any changes to the skill itself.
The skill instructs installing/running the promptfoo CLI (e.g., "npm install -g promptfoo" / "npx promptfoo@latest"), which fetches and executes remote package code from the referenced repository https://github.com/promptfoo/promptfoo at runtime, so this is an external runtime dependency that executes code.