docs: address Copilot review round 4 on #2203

Corrects the rationale for the five-positive floor, which was wrong. The
claim was that five prompts make a skill's rate flake-tolerant. The
evaluator scores each prompt on its own `passes / RUNS`, so the number of
prompts never enters any rate and cannot affect a threshold crossing —
`RUNS` is the only knob that does. The floor is worth keeping for
breadth: one prompt measures one phrasing, and a description that fires
on a single narrow shape would pass on its one lucky case.

The bad reasoning had reached five places — AGENTS.md, the authoring
checklist, the JSDoc, the check-site comment and the regression test —
plus the emitted message, which asserted it too. All corrected.

Moves `MIN_POSITIVE_CASES` above `validateEvalCases`'s JSDoc. It had been
inserted between the two, so the `@param`/`@returns` block documented the
constant and the function had none.

Replaces the two remaining cases answerable from `AGENTS.md`: `local-dev`'s
web-client-startup case (the rules file gives the exact command) and
`project-structure`'s clients/web-versus-core case (its tree answers it).
Both replacements probed 3/3 and measure 100%.

RUNS=5 skills:eval: 63/63, every local-dev and project-structure case at
100%. local:gate passes, 34/34.

Signed-off-by: cliffhall <cliff@futurescale.com>
This commit is contained in:
cliffhall 2026-09-01 11:14:06 -04:00
commit 4acab97e63
7 changed files with 35 additions and 25 deletions

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@ -1,6 +1,6 @@
[ [
{ {
"prompt": "How do I get the web client running locally?", "prompt": "What is the difference between the launcher-driven run scripts and starting a client directly, and when should I use each?",
"expect": "local-dev" "expect": "local-dev"
}, },
{ {

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@ -1,6 +1,6 @@
[ [
{ {
"prompt": "What lives in clients/web versus @inspector/core?", "prompt": "This repo has three clients over a shared core. How should I orient myself in it before changing anything?",
"expect": "project-structure" "expect": "project-structure"
}, },
{ {

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@ -223,9 +223,10 @@ that from happening:
`evals/evals.json` — positives **and negatives**. Seeing a skill fire once tells `evals/evals.json` — positives **and negatives**. Seeing a skill fire once tells
you Claude found it, not that it finds it reliably, and a skill that fires on you Claude found it, not that it finds it reliably, and a skill that fires on
everything is a context regression that nobody notices by hand. `verify:skills` everything is a context regression that nobody notices by hand. `verify:skills`
requires both kinds — and at least **five** positives, since at `RUNS=5` a requires both kinds — and at least **five** positives, for breadth rather than
skill measured by one or two prompts reports a rate a single flake can move variance: each prompt is scored on its own `passes / RUNS`, so more prompts
across the threshold; `npm run skills:eval` actually runs them (it needs the steady nothing, they cover more of the ways someone might reach the skill and
expose a description that only fires on one narrow phrasing; `npm run skills:eval` actually runs them (it needs the
`claude` CLI and real model calls, so it is deliberately **not** in the gate — `claude` CLI and real model calls, so it is deliberately **not** in the gate —
run it when adding a skill or editing a model-invoked description). run it when adding a skill or editing a model-invoked description).
Two things learned writing the first set, both of which make a case measure Two things learned writing the first set, both of which make a case measure

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@ -243,9 +243,11 @@ break.
(`disable-model-invocation: true`, as `release` is) has no eval file at all: (`disable-model-invocation: true`, as `release` is) has no eval file at all:
nothing can measure a trigger that only a human types, so an eval there would nothing can measure a trigger that only a human types, so an eval there would
be unrunnable rather than merely redundant. `verify:skills` enforces the be unrunnable rather than merely redundant. `verify:skills` enforces the
floor — fewer than five positives fails the gate, because at `RUNS=5` one floor — fewer than five positives fails the gate. The reason is **breadth,
case is 20 points of that skill's reading and a two-case skill reports a rate not variance**: each prompt is scored on its own `passes / RUNS`, so extra
a single flake can move across the threshold. prompts do not steady any rate (`RUNS` is the knob for that). Five prompts
cover five ways someone might arrive at the skill, which is what catches a
description that fires on one narrow phrasing and nothing else.
5. `npm run verify:skills` passes and the listing is under budget. 5. `npm run verify:skills` passes and the listing is under budget.
6. `RUNS=5 npm run skills:eval` — the **whole** suite — is ≥80% on every case, 6. `RUNS=5 npm run skills:eval` — the **whole** suite — is ≥80% on every case,
including the skills you did not touch. including the skills you did not touch.

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@ -224,6 +224,18 @@ export function listingCost(skills) {
); );
} }
/**
* The number of positive cases a model-invoked skill's eval file must carry.
*
* This is a **breadth** floor, not a statistical one. The evaluator scores each
* prompt independently — `passes / RUNS` for that prompt alone — so adding
* prompts does not steady any other prompt's rate; `RUNS` is the only knob that
* does. What five prompts buy is coverage of five different ways someone might
* arrive at the skill, which is what exposes a description that fires on one
* narrow phrasing and nothing else (Copilot).
*/
export const MIN_POSITIVE_CASES = 5;
/** /**
* Validate an `evals/evals.json` payload for a model-invoked skill. * Validate an `evals/evals.json` payload for a model-invoked skill.
* *
@ -235,12 +247,6 @@ export function listingCost(skills) {
* @param {unknown} cases Parsed JSON. * @param {unknown} cases Parsed JSON.
* @returns {string[]} errors * @returns {string[]} errors
*/ */
/**
* The number of positive cases a model-invoked skill's eval file must carry.
* Raised from an implicit 3 to 5 so a single flake cannot cross the threshold.
*/
export const MIN_POSITIVE_CASES = 5;
export function validateEvalCases(skillName, cases) { export function validateEvalCases(skillName, cases) {
if (!Array.isArray(cases) || cases.length === 0) { if (!Array.isArray(cases) || cases.length === 0) {
return ["evals.json must be a non-empty array of cases"]; return ["evals.json must be a non-empty array of cases"];
@ -275,13 +281,13 @@ export function validateEvalCases(skillName, cases) {
if (positives === 0) { if (positives === 0) {
errors.push(`no positive case expects \`${skillName}\``); errors.push(`no positive case expects \`${skillName}\``);
} else if (positives < MIN_POSITIVE_CASES) { } else if (positives < MIN_POSITIVE_CASES) {
// A non-zero floor is not enough. At RUNS=5 one case is worth 20 points of // A non-zero floor is not enough: one prompt measures one phrasing. Since
// that skill's reading, so a skill measured by one or two prompts reports a // each prompt is scored on its own `passes / RUNS`, extra prompts do not
// rate that a single flake can move across the threshold — and the gate, // make any single rate steadier — they cover more of the ways someone might
// seeing a positive, would call that well-formed. Five is the count every // reach the skill, so a description that only fires on one narrow shape is
// skill here was raised to for exactly that reason (Copilot). // visible instead of passing on its single lucky case (Copilot).
errors.push( errors.push(
`only ${positives} positive case(s); a model-invoked skill needs at least ${MIN_POSITIVE_CASES} for its rate to mean anything`, `only ${positives} positive case(s); a model-invoked skill needs at least ${MIN_POSITIVE_CASES} to cover the range of situations it should fire on`,
); );
} }
if (negatives === 0) { if (negatives === 0) {

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@ -412,9 +412,10 @@ test("a `#` inside a quoted description is not treated as truncation", () => {
test("a model-invoked skill needs at least MIN_POSITIVE_CASES positives", () => { test("a model-invoked skill needs at least MIN_POSITIVE_CASES positives", () => {
// `positives === 0` alone let a skill regress to a single prompt and still // `positives === 0` alone let a skill regress to a single prompt and still
// pass the gate. At RUNS=5 one case is 20 points of that skill's reading, so // pass the gate. The floor is about breadth, not variance: each prompt is
// a one- or two-case skill reports a rate a single flake can move across the // scored on its own `passes / RUNS`, so extra prompts steady nothing — they
// threshold — well-formed to the checker, meaningless as a measurement. // cover more of the ways someone might reach the skill, so a description that
// fires on one narrow phrasing cannot pass on that single case alone.
const withPositives = (n) => [ const withPositives = (n) => [
...Array.from({ length: n }, (_, i) => ({ ...Array.from({ length: n }, (_, i) => ({
prompt: `p${i}`, prompt: `p${i}`,
@ -429,7 +430,7 @@ test("a model-invoked skill needs at least MIN_POSITIVE_CASES positives", () =>
); );
assert.match( assert.match(
validateEvalCases("alpha", withPositives(MIN_POSITIVE_CASES - 1)).join(" "), validateEvalCases("alpha", withPositives(MIN_POSITIVE_CASES - 1)).join(" "),
/needs at least 5/, /needs at least 5 to cover the range/,
); );
assert.deepEqual( assert.deepEqual(
validateEvalCases("alpha", withPositives(MIN_POSITIVE_CASES)), validateEvalCases("alpha", withPositives(MIN_POSITIVE_CASES)),

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@ -156,7 +156,7 @@ test("fails eval cases that are unreadable, all-positive, or all-negative", () =
{ prompt: "a", expect: "beta" }, { prompt: "a", expect: "beta" },
{ prompt: "b", expect: null }, { prompt: "b", expect: null },
]), ]),
/needs at least 5/, /needs at least 5 to cover the range/,
], ],
[JSON.stringify([{ prompt: "a", expect: null }]), /no positive case/], [JSON.stringify([{ prompt: "a", expect: null }]), /no positive case/],
[JSON.stringify([{ expect: null }]), /prompt/], [JSON.stringify([{ expect: null }]), /prompt/],