docs: address Copilot review round 2 on #2203
Enforces the five-positive standard this PR established rather than only describing it. `validateEvalCases` checked `positives === 0`, so a skill could regress to a single prompt and still pass the gate. At RUNS=5 one case is 20 points of that skill's reading, so a one- or two-case skill reports a rate a single flake can move across the threshold — well-formed to the checker, meaningless as a measurement. Zero positives keeps its own clearer message so the common mistake keeps its diagnosis. Scopes the eval requirement to model-invoked skills in the checklist. A name-only skill has no eval file because nothing can measure a trigger only a human types, so an eval there is unrunnable rather than redundant. Aligns checklist item 1 with the `#` hazard from round 1; it named only the unquoted colon, which is the louder of the two failure modes. Four test fixtures asserted on one-positive eval files and legitimately went red; they now build positives from the exported MIN_POSITIVE_CASES. The all-positive row keeps testing the missing-negative path, with a new row for the below-floor case. 388/388 script tests pass. No skill description or eval case changed, so trigger behaviour is unaffected and skills:eval is unchanged from the previous round. Signed-off-by: cliffhall <cliff@futurescale.com>
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6 changed files with 136 additions and 29 deletions
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@ -222,7 +222,9 @@ that from happening:
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`evals/evals.json` — positives **and negatives**. Seeing a skill fire once tells
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you Claude found it, not that it finds it reliably, and a skill that fires on
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everything is a context regression that nobody notices by hand. `verify:skills`
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requires both kinds; `npm run skills:eval` actually runs them (it needs the
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requires both kinds — and at least **five** positives, since at `RUNS=5` a
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skill measured by one or two prompts reports a rate a single flake can move
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across the threshold; `npm run skills:eval` actually runs them (it needs the
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`claude` CLI and real model calls, so it is deliberately **not** in the gate —
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run it when adding a skill or editing a model-invoked description).
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Two things learned writing the first set, both of which make a case measure
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@ -209,13 +209,22 @@ break.
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## Checklist for a new or edited skill
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1. Frontmatter opens on line 1 (no BOM, no blank line), YAML is valid — an
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unquoted colon in a description loads the body with an _empty_ description,
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so `/name` still works while the skill can never auto-fire again.
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1. Frontmatter opens on line 1 (no BOM, no blank line), YAML is valid, and any
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description containing `:` or `#` is **quoted**. An unquoted colon loads the
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body with an _empty_ description, so `/name` still works while the skill can
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never auto-fire again; an unquoted `#` is worse-behaved, truncating the
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description from that point on so it stays non-empty and every check passes.
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2. `disable-model-invocation` is declared explicitly; default it to `false`.
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3. Description is action-first, with `Use when …; when …; when …`.
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4. `evals/evals.json` has both positives and at least one negative, every
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positive shaped by the first-move rule and none answerable from `AGENTS.md`.
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4. **If the skill is model-invoked**, `evals/evals.json` carries **at least
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five positives and at least one negative** — every positive shaped by the
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first-move rule, none answerable from `AGENTS.md`. A name-only skill
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(`disable-model-invocation: true`, as `release` is) has no eval file at all:
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nothing can measure a trigger that only a human types, so an eval there would
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be unrunnable rather than merely redundant. `verify:skills` enforces the
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floor — fewer than five positives fails the gate, because at `RUNS=5` one
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case is 20 points of that skill's reading and a two-case skill reports a rate
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a single flake can move across the threshold.
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5. `npm run verify:skills` passes and the listing is under budget.
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6. `RUNS=5 npm run skills:eval` — the **whole** suite — is ≥80% on every case,
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including the skills you did not touch.
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@ -235,6 +235,12 @@ export function listingCost(skills) {
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* @param {unknown} cases Parsed JSON.
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* @returns {string[]} errors
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*/
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/**
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* The number of positive cases a model-invoked skill's eval file must carry.
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* Raised from an implicit 3 to 5 so a single flake cannot cross the threshold.
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*/
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export const MIN_POSITIVE_CASES = 5;
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export function validateEvalCases(skillName, cases) {
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if (!Array.isArray(cases) || cases.length === 0) {
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return ["evals.json must be a non-empty array of cases"];
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@ -268,6 +274,15 @@ export function validateEvalCases(skillName, cases) {
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const negatives = cases.filter((c) => c && c.expect === null).length;
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if (positives === 0) {
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errors.push(`no positive case expects \`${skillName}\``);
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} else if (positives < MIN_POSITIVE_CASES) {
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// A non-zero floor is not enough. At RUNS=5 one case is worth 20 points of
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// that skill's reading, so a skill measured by one or two prompts reports a
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// rate that a single flake can move across the threshold — and the gate,
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// seeing a positive, would call that well-formed. Five is the count every
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// skill here was raised to for exactly that reason (Copilot).
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errors.push(
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`only ${positives} positive case(s); a model-invoked skill needs at least ${MIN_POSITIVE_CASES} for its rate to mean anything`,
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);
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}
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if (negatives === 0) {
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errors.push(
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@ -9,6 +9,7 @@ import assert from "node:assert/strict";
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import {
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splitFrontmatter,
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parseSkill,
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MIN_POSITIVE_CASES,
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validateEvalCases,
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listingCost,
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parseClaudeVersion,
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@ -175,15 +176,18 @@ test("listingCost counts only the skills that occupy the listing", () => {
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});
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test("validateEvalCases requires a positive and a negative", () => {
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const positives = (n, expect = "testing") =>
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Array.from({ length: n }, (_, i) => ({ prompt: `p${i}`, expect }));
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assert.deepEqual(
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validateEvalCases("testing", [
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{ prompt: "a", expect: "testing" },
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...positives(MIN_POSITIVE_CASES),
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{ prompt: "b", expect: null },
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]),
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[],
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);
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assert.match(
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validateEvalCases("testing", [{ prompt: "a", expect: "testing" }]).join(),
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validateEvalCases("testing", positives(MIN_POSITIVE_CASES)).join(),
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/no negative case/,
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);
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assert.match(
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@ -335,7 +339,10 @@ test("an eval file may only expect its own skill", () => {
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assert.match(
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validateEvalCases("testing", [
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{ prompt: "a", expect: "local-dev" },
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{ prompt: "b", expect: "testing" },
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...Array.from({ length: MIN_POSITIVE_CASES }, (_, i) => ({
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prompt: `p${i}`,
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expect: "testing",
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})),
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{ prompt: "c", expect: null },
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]).join(),
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/expects `local-dev`, but this file only measures `testing`/,
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@ -350,7 +357,10 @@ test("an eval file may only expect its own skill", () => {
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// Null and own-name cases are unaffected.
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assert.deepEqual(
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validateEvalCases("testing", [
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{ prompt: "a", expect: "testing" },
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...Array.from({ length: MIN_POSITIVE_CASES }, (_, i) => ({
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prompt: `p${i}`,
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expect: "testing",
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})),
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{ prompt: "b", expect: null },
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]),
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[],
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@ -399,3 +409,37 @@ test("a `#` inside a quoted description is not treated as truncation", () => {
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].join("\n");
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assert.deepEqual(parseSkill("alpha", quoted).errors, []);
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});
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test("a model-invoked skill needs at least MIN_POSITIVE_CASES positives", () => {
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// `positives === 0` alone let a skill regress to a single prompt and still
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// pass the gate. At RUNS=5 one case is 20 points of that skill's reading, so
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// a one- or two-case skill reports a rate a single flake can move across the
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// threshold — well-formed to the checker, meaningless as a measurement.
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const withPositives = (n) => [
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...Array.from({ length: n }, (_, i) => ({
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prompt: `p${i}`,
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expect: "alpha",
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})),
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{ prompt: "n", expect: null },
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];
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assert.match(
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validateEvalCases("alpha", withPositives(1)).join(" "),
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/only 1 positive case\(s\)/,
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);
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assert.match(
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validateEvalCases("alpha", withPositives(MIN_POSITIVE_CASES - 1)).join(" "),
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/needs at least 5/,
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);
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assert.deepEqual(
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validateEvalCases("alpha", withPositives(MIN_POSITIVE_CASES)),
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[],
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);
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// Zero still reports the clearer "no positive case" message rather than the
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// count one, so the common mistake keeps its specific diagnosis.
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assert.match(
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validateEvalCases("alpha", [{ prompt: "n", expect: null }]).join(" "),
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/no positive case expects/,
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);
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});
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@ -22,6 +22,7 @@ import {
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runPrompt,
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sampleHit,
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} from "./skill-eval.mjs";
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import { MIN_POSITIVE_CASES } from "./lib/skill-manifest.mjs";
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const assistant = (...blocks) =>
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JSON.stringify({ type: "assistant", message: { content: blocks } });
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@ -285,14 +286,17 @@ function skillsFixture() {
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);
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}
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};
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write("alpha", "disable-model-invocation: false\n", [
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{ prompt: "a+", expect: "alpha" },
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{ prompt: "a-", expect: null },
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]);
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write("beta", "disable-model-invocation: false\n", [
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{ prompt: "b+", expect: "beta" },
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{ prompt: "b-", expect: null },
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]);
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// Enough positives to satisfy the same MIN_POSITIVE_CASES floor the real eval
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// files must clear; the prompts stay predictable so assertions can name them.
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const evalsFor = (letter, skill) => [
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...Array.from({ length: MIN_POSITIVE_CASES }, (_, i) => ({
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prompt: `${letter}+${i}`,
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expect: skill,
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})),
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{ prompt: `${letter}-`, expect: null },
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];
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write("alpha", "disable-model-invocation: false\n", evalsFor("a", "alpha"));
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write("beta", "disable-model-invocation: false\n", evalsFor("b", "beta"));
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write("gamma", "disable-model-invocation: true\n");
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return root;
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}
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@ -305,13 +309,13 @@ test("focused mode narrows the cases but not the repo's own skill set", () => {
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const all = collectCases(undefined, root);
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assert.deepEqual([...all.ours].sort(), ["alpha", "beta"]);
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assert.equal(all.cases.length, 4);
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assert.equal(all.cases.length, (MIN_POSITIVE_CASES + 1) * 2);
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const focused = collectCases("alpha", root);
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assert.deepEqual([...focused.ours].sort(), ["alpha", "beta"]);
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assert.deepEqual(
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focused.cases.map((c) => c.prompt),
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["a+", "a-"],
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["a+0", "a+1", "a+2", "a+3", "a+4", "a-"],
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);
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// The consequence, stated as the assertion that matters:
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assert.equal(
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@ -326,12 +330,23 @@ test("focused mode accepts several skill names", () => {
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const root = skillsFixture();
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const focused = collectCases(["alpha", "beta"], root);
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assert.deepEqual(focused.cases.map((c) => c.prompt).sort(), [
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"a+",
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"a-",
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"b+",
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"b-",
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]);
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assert.deepEqual(
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focused.cases.map((c) => c.prompt).sort(),
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[
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"a+0",
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"a+1",
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"a+2",
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"a+3",
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"a+4",
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"a-",
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"b+0",
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"b+1",
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"b+2",
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"b+3",
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"b+4",
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"b-",
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].sort(),
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);
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// Narrowing to every skill is still not the same as no filter — `ours` is
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// unchanged either way, which is what keeps negative scoring honest.
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assert.deepEqual([...focused.ours].sort(), ["alpha", "beta"]);
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@ -339,7 +354,7 @@ test("focused mode accepts several skill names", () => {
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// A single name keeps working, so the one-argument form is unaffected.
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assert.deepEqual(
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collectCases("beta", root).cases.map((c) => c.prompt),
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["b+", "b-"],
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["b+0", "b+1", "b+2", "b+3", "b+4", "b-"],
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);
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rmSync(root, { recursive: true, force: true });
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@ -23,6 +23,7 @@ import {
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import { tmpdir } from "node:os";
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import path from "node:path";
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import { fileURLToPath } from "node:url";
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import { MIN_POSITIVE_CASES } from "./lib/skill-manifest.mjs";
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import {
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checkWiring,
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@ -66,9 +67,14 @@ const byName = (name, extra = "") =>
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const modelInvoked = (name) =>
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`---\nname: ${name}\ndescription: A description.\ndisable-model-invocation: false\n---\n\nBody\n`;
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// Clears the same MIN_POSITIVE_CASES floor the real eval files must, so this
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// fixture keeps meaning "well-formed" as that floor moves.
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const goodEvals = (name) =>
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JSON.stringify([
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{ prompt: "fires", expect: name },
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...Array.from({ length: MIN_POSITIVE_CASES }, (_, i) => ({
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prompt: `fires ${i}`,
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expect: name,
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})),
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{ prompt: "does not", expect: null },
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]);
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@ -135,7 +141,23 @@ test("fails a model-invoked skill with no eval cases", () => {
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test("fails eval cases that are unreadable, all-positive, or all-negative", () => {
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for (const [evals, pattern] of [
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["{ not json", /not valid JSON/],
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[JSON.stringify([{ prompt: "a", expect: "beta" }]), /no negative case/],
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[
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JSON.stringify(
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Array.from({ length: MIN_POSITIVE_CASES }, (_, i) => ({
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prompt: `a${i}`,
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expect: "beta",
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})),
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),
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/no negative case/,
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],
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// Below the floor is its own failure, distinct from having none at all.
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[
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JSON.stringify([
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{ prompt: "a", expect: "beta" },
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{ prompt: "b", expect: null },
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]),
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/needs at least 5/,
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],
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[JSON.stringify([{ prompt: "a", expect: null }]), /no positive case/],
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[JSON.stringify([{ expect: null }]), /prompt/],
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]) {
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Reference in a new issue