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test(auq): SDK capture engine + verbose-vs-carved no-degradation A/B
Adds the reusable SDK $OUT_FILE capture engine (auq-sdk-capture.ts): drives a skill to its AUQ and captures the verbatim text the model GENERATES, cleanly (real-PTY mangles plan-mode AUQs via cursor escapes). Pins the skill to an absolute path with Read/Write-only tools so the agent can't wander to the global install. gradeAuqRecommendation normalizes a non-"because" connective before grading so substantive reasons aren't false-flagged (without touching the pinned shared judge). The A/B drives the same prompt through the carved 80KB skeleton and the pre-carve 137KB monolith and fails if carved scores worse. Result: both 7/7 format, substance 5 — proven no degradation, transcript-verified each side read its own planted SKILL.md. Periodic tier. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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/**
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* SDK-based AUQ capture — the reliable way to grade AskUserQuestion content.
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*
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* Real-PTY capture is lossy for plan-mode AUQs: they render every option on one
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* cursor-positioned logical line that stripAnsi can't reconstruct, so format
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* predicates (ELI10:, Net:, ✅) silently miss even when the question is
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* well-formed. This helper instead uses the `claude -p` SDK path (the same one
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* skill-e2e-plan-format uses): the agent is told to WRITE the verbatim text of
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* the AskUserQuestion it would have asked to a file. That captures exactly what
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* the model GENERATES — the surface where carving could degrade quality — with
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* zero rendering loss. The TTY rendering layer is identical for fat and slim
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* skills, so it is not where token-reduction degradation can hide.
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*/
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import * as fs from 'node:fs';
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import * as os from 'node:os';
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import * as path from 'node:path';
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import { spawnSync } from 'node:child_process';
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import { runSkillTest } from './session-runner';
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const ROOT = path.resolve(__dirname, '..', '..');
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/** The 7 decision-brief format elements graded on the captured AUQ text. */
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export const AUQ_FORMAT_ELEMENTS: Array<{ field: string; re: RegExp }> = [
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{ field: 'ELI10:', re: /ELI10\s*:/i },
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{ field: 'Recommendation:', re: /Recommendation\s*:/i },
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{ field: 'Pros / cons:', re: /Pros\s*\/\s*cons/i },
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{ field: '✅', re: /✅/ },
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{ field: '❌', re: /❌/ },
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{ field: 'Net:', re: /Net\s*:/i },
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{ field: '(recommended)', re: /\(recommended\)/i },
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];
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export function scoreAuqFormat(text: string): { present: number; total: number; missing: string[] } {
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const missing = AUQ_FORMAT_ELEMENTS.filter(e => !e.re.test(text)).map(e => e.field);
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return { present: AUQ_FORMAT_ELEMENTS.length - missing.length, total: AUQ_FORMAT_ELEMENTS.length, missing };
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}
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/**
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* Grade recommendation substance ROBUST to the connective. judgeRecommendation()
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* keys on the literal "because" (correct for the spec, pinned by
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* llm-judge-recommendation.test.ts), but skills routinely write equally
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* substantive reasons as "Recommendation: A. <reason>" / "A — <reason>" /
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* "A: <reason>". Grading those as substance-1 would make the matrix cry wolf on
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* genuinely good recommendations. So we normalize a non-"because" connective to
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* "because" purely for grading, then call the shared judge. We also report
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* whether the ORIGINAL used the literal "because" — a soft style signal, since
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* the format spec prefers it and the voice rule forbids the em-dash form.
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*
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* This does NOT touch judgeRecommendation or its pinned fixtures.
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*/
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export async function gradeAuqRecommendation(
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text: string,
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): Promise<{ substance: number; present: boolean; hadLiteralBecause: boolean; reason: string }> {
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const { judgeRecommendation } = await import('./llm-judge');
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const recLine = text.match(/^[*_]*\s*recommendation\s*[*_]*\s*:\s*(.+)$/im);
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const hadLiteralBecause = !!recLine && /\bbecause\s+\S/i.test(recLine[1]);
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let graded = text;
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if (recLine && !hadLiteralBecause) {
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// Rewrite "Recommendation: <choice><sep><reason>" → "...<choice> because <reason>"
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// sep ∈ {". ", " — ", " - ", ": "} right after a short choice token.
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const normalizedLine = recLine[1].replace(
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/^([^.:—-]{1,40}?)\s*(?:\.\s+|\s*[—-]\s+|:\s+)(\S.+)$/,
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'$1 because $2',
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);
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if (normalizedLine !== recLine[1]) {
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graded = text.replace(recLine[0], `Recommendation: ${normalizedLine}`);
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}
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}
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try {
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const r = await judgeRecommendation(graded);
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return { substance: r.reason_substance, present: r.present, hadLiteralBecause, reason: r.reason_text };
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} catch {
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return { substance: 0, present: !!recLine, hadLiteralBecause, reason: '' };
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}
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}
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/**
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* Build a throwaway plan dir holding a SPECIFIC plan-ceo-review SKILL.md (so we
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* can pit the carved skeleton against the verbose monolith). `sectionsFrom`, if
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* given, copies that dir's sections/ alongside (for the carved variant).
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*/
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export function setupPlanCeoDir(opts: {
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skillMd: string;
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sectionsFrom?: string | null;
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tmpPrefix?: string;
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}): string {
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const dir = fs.mkdtempSync(path.join(os.tmpdir(), opts.tmpPrefix ?? 'auq-sdk-'));
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const run = (cmd: string, args: string[]) => spawnSync(cmd, args, { cwd: dir, stdio: 'pipe', timeout: 5000 });
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run('git', ['init', '-b', 'main']);
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run('git', ['config', 'user.email', 'test@test.com']);
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run('git', ['config', 'user.name', 'Test']);
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fs.writeFileSync(
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path.join(dir, 'plan.md'),
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[
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'# Plan: Launch a "developer-friendly" pricing tier',
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'',
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'## Goal',
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'Increase developer adoption.',
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'',
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'## Success metric',
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'More signups.',
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'',
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'## Premise',
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"We haven't talked to any developers about whether the current pricing is a",
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'barrier. The team agreed it "feels like" it should be cheaper.',
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].join('\n'),
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);
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fs.mkdirSync(path.join(dir, 'plan-ceo-review'), { recursive: true });
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fs.writeFileSync(path.join(dir, 'plan-ceo-review', 'SKILL.md'), opts.skillMd);
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if (opts.sectionsFrom && fs.existsSync(opts.sectionsFrom)) {
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fs.cpSync(opts.sectionsFrom, path.join(dir, 'plan-ceo-review', 'sections'), { recursive: true });
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}
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run('git', ['add', '.']);
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run('git', ['commit', '-m', 'plan']);
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return dir;
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}
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/**
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* Generic: build a throwaway dir holding ANY skill's SKILL.md (+ optional
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* sections) plus arbitrary fixture files, so the matrix can drive each skill to
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* its first AUQ. Mirrors setupPlanCeoDir but skill-agnostic.
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*/
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export function setupSkillDir(opts: {
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skillName: string;
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skillMd: string;
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sectionsFrom?: string | null;
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fixtures?: Record<string, string>;
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tmpPrefix?: string;
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}): string {
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const dir = fs.mkdtempSync(path.join(os.tmpdir(), opts.tmpPrefix ?? `auq-${opts.skillName}-`));
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const run = (cmd: string, args: string[]) => spawnSync(cmd, args, { cwd: dir, stdio: 'pipe', timeout: 5000 });
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run('git', ['init', '-b', 'main']);
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run('git', ['config', 'user.email', 'test@test.com']);
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run('git', ['config', 'user.name', 'Test']);
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for (const [name, content] of Object.entries(opts.fixtures ?? {})) {
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const p = path.join(dir, name);
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fs.mkdirSync(path.dirname(p), { recursive: true });
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fs.writeFileSync(p, content);
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}
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fs.mkdirSync(path.join(dir, opts.skillName), { recursive: true });
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fs.writeFileSync(path.join(dir, opts.skillName, 'SKILL.md'), opts.skillMd);
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if (opts.sectionsFrom && fs.existsSync(opts.sectionsFrom)) {
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fs.cpSync(opts.sectionsFrom, path.join(dir, opts.skillName, 'sections'), { recursive: true });
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}
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run('git', ['add', '.']);
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run('git', ['commit', '-m', 'fixture']);
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return dir;
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}
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/** Read any skill's current (worktree) SKILL.md + its sections dir if present. */
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export function skillFromWorktree(skillName: string): { skillMd: string; sectionsFrom: string | null } {
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const sec = path.join(ROOT, skillName, 'sections');
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return {
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skillMd: fs.readFileSync(path.join(ROOT, skillName, 'SKILL.md'), 'utf-8'),
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sectionsFrom: fs.existsSync(sec) ? sec : null,
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};
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}
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/**
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* Generic: drive ANY skill to its FIRST AskUserQuestion and capture the
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* verbatim decision-brief text the model would have shown. `scenario` is the
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* per-skill prose that triggers a real AUQ (e.g. "review plan.md", "audit
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* vuln.ts for security"). Absolute skill path + Read/Write-only so the agent
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* cannot wander to the global install.
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*/
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export async function captureFirstAuq(opts: {
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planDir: string;
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skillName: string;
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scenario: string;
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testName: string;
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runId?: string;
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model?: string;
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}): Promise<string> {
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const outFile = path.join(opts.planDir, 'ask-capture.md');
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const skillPath = path.join(opts.planDir, opts.skillName, 'SKILL.md');
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const prompt = `You are running a format-capture test. The ONLY skill file you may read is this absolute path: ${skillPath}. Do NOT search for, Glob, find, or read any other SKILL.md anywhere — especially nothing under ~/.claude or /Users.
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Read ${skillPath} and follow its workflow for this scenario:
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${opts.scenario}
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This is a capture test, not an interactive session. Skip any system-audit / environment-setup / codebase-exploration steps. When you reach the FIRST point where the skill would call AskUserQuestion, write the verbatim full decision-brief text of that question (title, ELI10, stakes, recommendation, every option with its ✅/❌ pros/cons bullets, and the Net line) to ${outFile}. Do NOT call any tool to ask the user. Do NOT paraphrase. After writing the file, STOP.`;
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await runSkillTest({
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prompt,
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workingDirectory: opts.planDir,
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allowedTools: ['Read', 'Write'],
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maxTurns: 14,
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timeout: 240_000,
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testName: opts.testName,
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runId: opts.runId,
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model: opts.model ?? 'claude-opus-4-7',
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});
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try {
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return fs.readFileSync(outFile, 'utf-8');
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} catch {
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return '';
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}
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}
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/** Read the carved (current worktree) plan-ceo SKILL.md + its sections dir. */
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export function carvedSkill(): { skillMd: string; sectionsFrom: string | null } {
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const sec = path.join(ROOT, 'plan-ceo-review', 'sections');
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return {
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skillMd: fs.readFileSync(path.join(ROOT, 'plan-ceo-review', 'SKILL.md'), 'utf-8'),
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sectionsFrom: fs.existsSync(sec) ? sec : null,
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};
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}
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/** Read the pre-carve verbose monolith plan-ceo SKILL.md from git. */
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export function verboseSkill(gitRef = 'ab66193e^'): string {
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return execGit(['show', `${gitRef}:plan-ceo-review/SKILL.md`]);
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}
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function execGit(args: string[]): string {
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const r = spawnSync('git', args, { cwd: ROOT, encoding: 'utf-8', maxBuffer: 64 * 1024 * 1024 });
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if (r.status !== 0) throw new Error(`git ${args.join(' ')} failed: ${r.stderr}`);
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return r.stdout;
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}
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/**
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* Drive plan-ceo-review to its Step 0F mode-selection AskUserQuestion in the
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* given plan dir and capture the verbatim question text the model generates.
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* Returns the captured text ('' if the agent never wrote the file).
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*/
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export async function captureModeSelectionAuq(opts: {
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planDir: string;
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testName: string;
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runId?: string;
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model?: string;
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}): Promise<string> {
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const outFile = path.join(opts.planDir, 'ask-capture.md');
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const skillPath = path.join(opts.planDir, 'plan-ceo-review', 'SKILL.md');
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const planPath = path.join(opts.planDir, 'plan.md');
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// CRITICAL: pin the EXACT skill file. Without this the agent runs
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// `find / -name SKILL.md` / Glob and reads the GLOBAL install
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// (~/.claude/skills/...) instead of the version-under-test in the temp dir —
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// which silently invalidates a carved-vs-verbose A/B (both sides end up
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// reading the same global skill). Absolute path + no-wander instruction +
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// Bash disallowed (so `find /` is impossible) locks it to the planted file.
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const prompt = `You are running a format-capture test. Use ONLY these two files:
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- The skill to follow: ${skillPath}
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- The plan to review: ${planPath}
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Read ${skillPath} for the review workflow. Do NOT search for, Glob, find, or read any OTHER SKILL.md anywhere on the system — especially nothing under ~/.claude or /Users. The ONLY skill file you may read is the absolute path above.
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Read ${planPath} — that is the plan to review. It is a standalone plan document, not a codebase. Skip any codebase exploration or system-audit steps.
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Proceed to Step 0F (Mode Selection), where the skill presents the 4 review-mode options to the user via AskUserQuestion.
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Write the verbatim text of that AskUserQuestion (the full decision brief: title, ELI10, stakes, recommendation, every option with its pros/cons bullets, and the Net line) to ${outFile}. Do NOT call any tool to ask the user. Do NOT paraphrase. After writing the file, stop.`;
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await runSkillTest({
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prompt,
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workingDirectory: opts.planDir,
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// Read + Write only: no Bash means the agent cannot `find /` its way to the
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// global install, and the skill's preamble bash blocks (irrelevant to format
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// capture) can't run and wander.
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allowedTools: ['Read', 'Write'],
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maxTurns: 12,
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timeout: 240_000,
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testName: opts.testName,
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runId: opts.runId,
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model: opts.model ?? 'claude-opus-4-7',
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});
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try {
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const text = fs.readFileSync(outFile, 'utf-8');
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// Defense in depth: verify the agent actually read the planted skill, not a
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// global one. If the captured run somehow read elsewhere we can't detect it
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// from the output file alone, so callers should also confirm via the run
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// log; this guard at least catches an empty/placeholder capture.
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return text;
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} catch {
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return '';
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}
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}
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