Individual skill
review-experiment-results
Explain Harness FME experiment results: winner determination, statistical significance, guardrail metric impact, and data-quality caveats (low sample size, missing data). Classifies each metric's outcome and produces plain-language readout by default, surfacing underlying stats (p-value, CI, sample size) on request. Use when asked to explain, review, or interpret experiment results; "did treatment X win"; "is this experiment significant"; "what happened to metric Y in this experiment"; or "should we ship this experiment". Do NOT use for changing experiments (manage-experiments), choosing metrics (choose-metric), or diagnosing bias (SRM root cause, peeking, Simpson's paradox). Trigger phrases: experiment results, readout, winner, statistical significance, guardrail metric, ship this experiment.
skills/fme/review-experiment-results/SKILL.md
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SKILL.mdcore · 15,770 bytesreferences/state-classification.mddoc · 2,217 bytes
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# Review Experiment Results
Explain an FME experiment's outcome in plain language: whether there's a winner,
why or why not, how guardrail metrics were affected, and any data-quality
caveats - with underlying statistics available on request.
Related: [manage-experiments](../manage-experiments/SKILL.md) (experiment
changes), [choose-metric](../choose-metric/SKILL.md) (metric selection).
## Tools
Works through the Harness MCP server or the Harness CLI; names are from [tool-map.md](../../../references/fme/tool-map.md).
| Operation | MCP | CLI |