Commit graph inspector/docs/skill-authoring.md
Author SHA1 Message Date
cliffhall
a344225e23 docs: accept several skill names in skills:eval and re-aim overlapping cases
Adds a multi-name filter to `npm run skills:eval` so a set of related
skills can be iterated together, and makes an unknown name a hard error
rather than an empty run — a typo would otherwise report a green 0/0
that reads exactly like a clean pass of the skill that was meant.

Re-aims two `local-dev` cases and one `test-servers` case that partially
overlapped `AGENTS.md`. Partial overlap oscillates across runs rather
than sitting at zero, so it reads as eval noise instead of a defect in
the case; `docs/skill-authoring.md` now records that failure mode and
the observed scores.

Widens the `test-servers` description to the "Use when …" shape and
points the `testing` skill at it, since anything needing a real server
to run against is a procedure `testing` does not carry. That growth
moves the skill listing from 2,921 to 3,144 of 4,000 characters, so the
figure recorded in AGENTS.md is updated to match.

Signed-off-by: cliffhall <cliff@futurescale.com>
2026-09-01 00:18:43 -04:00
cliffhall
6dd43e78ba docs: tune skill eval cases and document how to write them
`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>
2026-08-31 23:22:25 -04:00