6dd43e78ba
`skills:eval` was at 38/46 with several skills measuring 0-33%. The low scores were mostly bad eval cases rather than bad descriptions, for two reasons that were nowhere written down: - The harness runs each case with `--max-turns 1`, so the skill has to be the model's FIRST tool call. A prompt asking "how does X work here", or naming a concrete file, sends the model to Read/Grep first — a better answer to the question, scored as a miss. Every 0% case was one of these. - `AGENTS.md` is resident on every turn, so a prompt it already answers is answered without any skill and the case can never pass. Replace the cases that measured the wrong thing, expand every model-invoked skill from 3 to 5 positives (negatives kept) so one flake cannot cross the threshold, and reshape `local-dev`'s description to the action-first form. Add `docs/skill-authoring.md` with the case shapes that fire, the ones that cannot, and the probe-then-measure loop. RUNS=5 npm run skills:eval: 63/63 at or above threshold, 60 at 100%, all 18 negatives clean. Closes #2202 Signed-off-by: cliffhall <cliff@futurescale.com>
30 lines
857 B
JSON
30 lines
857 B
JSON
[
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{
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"prompt": "Create an issue titled 'TUI crashes on an empty catalog' and set it up the way this repo wants.",
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"expect": "issue-create"
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},
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{
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"prompt": "Which milestone should a new issue go in, and how do I find the current one?",
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"expect": "issue-create"
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},
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{
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"prompt": "Before I file this, how do I check nobody has reported it already?",
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"expect": "issue-create"
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},
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{
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"prompt": "I found a bug while working on something else. How do I get it tracked in this repo?",
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"expect": "issue-create"
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},
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{
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"prompt": "What do I need to do beyond `gh issue create` for a new issue to be properly tracked here?",
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"expect": "issue-create"
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},
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{
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"prompt": "What is the chemical symbol for potassium?",
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"expect": null
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},
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{
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"prompt": "Reverse this string: stressed",
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"expect": null
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}
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]
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