Conciseness

The body is dense and assumes competence (no explanations of YAML, CI, or embeddings), but the exhaustive deterministic-assertion table and version-pinned specifics like "Node.js 20.20+ or 22.22+" and "openai:gpt-5-mini-0613" are minor trims that keep it below the lean-everything-earns-its-place anchor.

Actionability

Everything is copy-paste ready: install commands, a complete minimal promptfooconfig.yaml, working interpolation/defaultTest/transform/assert-set YAML snippets, and the exact GitHub Action inputs including cache-path and no-share, covering the common cases the description promises.

Workflow Clarity

The eight steps (install → first eval → interpolation → assertions → defaultTest → transforms → assert-set → CI) are clearly sequenced with eval/view and CI gating as checkpoints, but there is no explicit failure-recovery loop and provider API keys are only introduced in Step 8 for CI, not before the first local eval.

Progressive Disclosure

Sections are well organized with a one-level-deep References list of real external doc URLs, but the ~60-line inline assertion catalog is content a bundle reference file would ideally hold, and the link-reference definitions sit at the top of the file before any prose, leaving minor organization gaps.

Specificity

Enumerates multiple concrete capabilities — "promptfooconfig.yaml providers, prompts and tests", "deterministic, semantic, model-graded, latency and cost assertions", "promptfoo eval and view", "CI gating" — comprehensively covering the skill's surface, matching the anchor for multiple specific concrete actions rather than several actions with minor gaps.

Completeness

Explicitly answers both questions: an explicit "Use when LLM prompts or RAG pipelines need eval-driven regression tests" trigger clause plus a concrete enumeration of what the skill does, matching the anchor where both what and when are clearly and explicitly stated with concrete trigger phrases.

Trigger Term Quality

Includes natural phrases users would say — "LLM prompts", "RAG pipelines", "regression tests", "promptfooconfig.yaml", "CI gating" — but misses common synonyms such as "prompt testing", "LLM evals", or "golden tests", so it fits good-but-not-comprehensive keyword coverage.

Distinctiveness Conflict Risk

The tool name "Promptfoo" and the "promptfooconfig.yaml" filename give it a clear niche trigger, but the general "RAG pipelines need eval" phrasing overlaps with closely related sister skills the body itself names (ragas-evaluation, openai-evals), so minor overlap risk remains.