/** * Sandboxed scenario runner for skill-behavior tests. * * Each scenario: * 1. Creates a temp workspace. * 2. Symlinks the real .claude/skills/impeccable into the workspace so * scripts (context.mjs, etc.) resolve from the canonical path * the skill references. * 3. Optionally writes PRODUCT.md / DESIGN.md fixtures. * 4. Inlines SKILL.md as the system prompt (placeholders stripped to * neutral values so the same body works for all providers). * 5. Runs Vercel AI SDK generateText with workspace-scoped tools * (bash, read, write, list, ask_user_question). * 6. Captures every tool call and returns a trace + the raw response * messages (so multi-turn scenarios can append to them). * * The harness deliberately mirrors the live-mode E2E pattern: real LLM, * no mocks, but tightly bounded execution surface so we observe the routing * behavior of the skill without paying for full-fledged design work. */ import { generateText, stepCountIs, tool } from 'ai'; import { z } from 'zod'; import fs from 'node:fs'; import os from 'node:os'; import path from 'node:path'; import { spawn } from 'node:child_process'; import { fileURLToPath } from 'node:url'; const __dirname = path.dirname(fileURLToPath(import.meta.url)); const REPO_ROOT = path.resolve(__dirname, '..', '..'); const SKILL_SOURCE_DIR = path.join(REPO_ROOT, 'skill'); const MAX_BASH_OUTPUT_BYTES = 200_000; /** * Strip the YAML frontmatter and replace `{{...}}` placeholders so SKILL.md * is provider-neutral when inlined. */ function loadSkillBody() { let md = fs.readFileSync(path.join(SKILL_SOURCE_DIR, 'SKILL.src.md'), 'utf8'); // Strip frontmatter. if (md.startsWith('---')) { const end = md.indexOf('\n---', 3); if (end !== -1) md = md.slice(end + 4).trimStart(); } // The source uses placeholders that the build step replaces per-provider. // For the test harness we want a single body that works for any provider, // and the scripts the skill references live at .claude/skills/impeccable/ // (the workspace symlink), so hard-code those values. md = md .replaceAll('{{model}}', 'the assistant') .replaceAll('{{command_prefix}}', '/') .replaceAll('{{ask_instruction}}', 'Use the ask_user_question tool.') .replaceAll('{{config_file}}', 'AGENTS.md') .replaceAll('{{scripts_path}}', '.claude/skills/impeccable/scripts') .replaceAll('{{command_hint}}', 'command'); return md.trim(); } export const SKILL_BODY = loadSkillBody(); /** * Create a temp workspace and prepopulate it. * * - `.claude/skills/impeccable` is symlinked at the SOURCE skill dir (not * the built `.claude/skills/impeccable/`) so the test exercises whatever * is in `skill/` right now, without needing `bun run build` to refresh * the harness output dirs. The trade-off: reference files surface their * raw `{{placeholders}}`, but the assertions only check tool calls, not * their content. * - `files` lets the test seed PRODUCT.md / DESIGN.md (or anything else). * - `skillVersion` switches from symlink to a real COPY of the skill dir and * writes a `SKILL.md` carrying that version. context.mjs reads its own * version from that sibling file, so this is required for any scenario that * exercises the update-check path (the source dir has only SKILL.src.md). */ export function prepareWorkspace({ files = {}, skillVersion = null } = {}) { const dir = fs.mkdtempSync(path.join(os.tmpdir(), 'impeccable-skill-test-')); const skillDest = path.join(dir, '.claude', 'skills', 'impeccable'); fs.mkdirSync(path.join(dir, '.claude', 'skills'), { recursive: true }); if (skillVersion) { fs.cpSync(SKILL_SOURCE_DIR, skillDest, { recursive: true }); fs.writeFileSync(path.join(skillDest, 'SKILL.md'), `---\nname: impeccable\nversion: ${skillVersion}\n---\n\nbody\n`); } else { fs.symlinkSync(SKILL_SOURCE_DIR, skillDest, 'dir'); } for (const [name, contents] of Object.entries(files)) { const target = path.join(dir, name); fs.mkdirSync(path.dirname(target), { recursive: true }); fs.writeFileSync(target, contents); } return dir; } export function cleanupWorkspace(dir) { try { fs.rmSync(dir, { recursive: true, force: true }); } catch { // Best effort — temp dirs eventually get reaped by the OS. } } function safeResolve(root, userPath) { if (typeof userPath !== 'string' || !userPath.length) { return { error: 'path is required' }; } if (userPath.startsWith('/') || /^[a-zA-Z]:[\\/]/.test(userPath)) { return { error: 'absolute paths are not allowed' }; } const resolved = path.resolve(root, userPath); const rel = path.relative(root, resolved); if (rel.startsWith('..') || rel.split(path.sep).includes('..')) { return { error: 'path escapes the workspace' }; } return resolved; } function execBash(workspace, command, timeoutMs = 20_000, extraEnv = {}) { return new Promise((resolve) => { const proc = spawn('bash', ['-lc', command], { cwd: workspace, env: { ...process.env, ...extraEnv } }); let stdout = ''; let stderr = ''; const truncatedFlag = { val: false }; const onChunk = (which) => (chunk) => { const str = chunk.toString(); if (which === 'out') { if (stdout.length + str.length > MAX_BASH_OUTPUT_BYTES) { stdout += str.slice(0, MAX_BASH_OUTPUT_BYTES - stdout.length); truncatedFlag.val = true; } else { stdout += str; } } else { if (stderr.length + str.length > MAX_BASH_OUTPUT_BYTES) { stderr += str.slice(0, MAX_BASH_OUTPUT_BYTES - stderr.length); truncatedFlag.val = true; } else { stderr += str; } } }; proc.stdout.on('data', onChunk('out')); proc.stderr.on('data', onChunk('err')); const timer = setTimeout(() => { proc.kill('SIGKILL'); resolve({ exitCode: null, stdout, stderr: stderr + '\n[TIMED OUT]', truncated: truncatedFlag.val }); }, timeoutMs); proc.on('exit', (code) => { clearTimeout(timer); resolve({ exitCode: code, stdout, stderr, truncated: truncatedFlag.val }); }); proc.on('error', (err) => { clearTimeout(timer); resolve({ exitCode: null, stdout, stderr: stderr + `\n[SPAWN ERROR] ${String(err)}`, truncated: truncatedFlag.val }); }); }); } /** * Build the workspace-scoped tool set + the trace it writes into. * Returns `{ tools, trace }`. The trace mutates in place as the agent runs. */ function defaultSimulatedAnswer(question) { const text = String(question?.question ?? '').toLowerCase(); const options = Array.isArray(question?.options) ? question.options : []; const firstOption = options.find((option) => typeof option?.label === 'string')?.label; // Option labels are model-authored and therefore the most faithful answer // when the agent is asking the user to choose a proposed world or concept. if (firstOption) return firstOption; if (/platform|web|ios|android|adaptive/.test(text)) return 'Web.'; if (/who|audience|user|people/.test(text)) return 'Night-shift ferry dispatchers working from noisy control rooms.'; if (/purpose|job|problem|outcome|success/.test(text)) return 'Help dispatchers resolve berth conflicts before they delay the overnight crossing.'; if (/position|different|claim|only/.test(text)) return 'It turns fragmented radio calls into one trustworthy handoff record.'; if (/world|tool|place|object|ritual|context/.test(text)) return 'Harbor logs, tide tables, grease-pencil berth boards, radio call signs, and sodium-lit terminals.'; if (/direction|feel|personality|reference|look/.test(text)) return 'Decisive, maritime, and operational; avoid generic SaaS dashboards and nautical decoration.'; if (/accessib|motion|contrast/.test(text)) return 'WCAG AA, keyboard access, reduced motion, and high contrast for dim control rooms.'; if (/scope|fidelity|breadth|interactiv|polish/.test(text)) return 'One production-ready responsive surface with working interactions.'; return 'Use the brief, preserve real operational content, and make the primary decision obvious.'; } export function makeTools(workspace, extraEnv = {}, simulatedUser = {}) { const trace = { toolCalls: [], bashCommands: [], bashOutputs: [], readPaths: [], writePaths: [], listPaths: [], questionCalls: [], questionAnswers: [], }; function record(name, input) { trace.toolCalls.push({ name, input }); if (name === 'bash' && typeof input?.command === 'string') trace.bashCommands.push(input.command); if (name === 'read' && typeof input?.path === 'string') trace.readPaths.push(input.path); if (name === 'write' && typeof input?.path === 'string') trace.writePaths.push(input.path); if (name === 'list' && typeof input?.path === 'string') trace.listPaths.push(input.path); if (name === 'ask_user_question') trace.questionCalls.push(input); } const tools = { bash: tool({ description: 'Run a bash command in the workspace root. Use this to invoke skill scripts (e.g. `node .claude/skills/impeccable/scripts/context.mjs`).', inputSchema: z.object({ command: z.string().describe('The bash command to execute.'), }), execute: async ({ command }) => { record('bash', { command }); const res = await execBash(workspace, command, 20_000, extraEnv); const head = `exit=${res.exitCode}`; const body = (res.stdout ? `stdout:\n${res.stdout}` : '') + (res.stderr ? `\nstderr:\n${res.stderr}` : ''); const out = `${head}\n${body}${res.truncated ? '\n[output truncated]' : ''}`; trace.bashOutputs.push(out); return out; }, }), read: tool({ description: 'Read a file from the workspace. Path must be workspace-relative.', inputSchema: z.object({ path: z.string().describe('Workspace-relative file path.'), }), execute: async ({ path: p }) => { record('read', { path: p }); const resolved = safeResolve(workspace, p); if (typeof resolved !== 'string') return `Error: ${resolved.error}`; if (!fs.existsSync(resolved)) return `File not found: ${p}`; const stat = fs.statSync(resolved); if (stat.isDirectory()) return `Path is a directory: ${p}. Use list instead.`; return fs.readFileSync(resolved, 'utf8'); }, }), write: tool({ description: 'Write or overwrite a file in the workspace. Creates parent directories as needed.', inputSchema: z.object({ path: z.string().describe('Workspace-relative file path.'), contents: z.string().describe('Full file contents.'), }), execute: async ({ path: p, contents }) => { record('write', { path: p, contents }); const resolved = safeResolve(workspace, p); if (typeof resolved !== 'string') return `Error: ${resolved.error}`; fs.mkdirSync(path.dirname(resolved), { recursive: true }); fs.writeFileSync(resolved, contents); return `Wrote ${Buffer.byteLength(contents, 'utf8')} bytes to ${p}`; }, }), list: tool({ description: 'List a workspace directory. Defaults to the workspace root.', inputSchema: z.object({ path: z.string().default('.').describe('Workspace-relative directory path.'), }), execute: async ({ path: p }) => { record('list', { path: p }); const resolved = safeResolve(workspace, p); if (typeof resolved !== 'string') return `Error: ${resolved.error}`; if (!fs.existsSync(resolved)) return `Not found: ${p}`; const stat = fs.statSync(resolved); if (!stat.isDirectory()) return `Not a directory: ${p}`; const entries = fs.readdirSync(resolved).map((name) => { const st = fs.statSync(path.join(resolved, name)); return st.isDirectory() ? `${name}/` : name; }); return entries.length ? entries.join('\n') : '(empty)'; }, }), ask_user_question: tool({ description: 'Ask the user 1-4 structured questions and wait for answers. Use this for required Impeccable init, visual-world selection, and task-concept checkpoints instead of asking in prose.', inputSchema: z.object({ questions: z.array(z.object({ header: z.string().optional(), question: z.string(), options: z.array(z.object({ label: z.string(), description: z.string().optional(), })).optional(), multiSelect: z.boolean().optional(), })).min(1).max(4), }), execute: async ({ questions }) => { record('ask_user_question', { questions }); const answers = {}; for (let index = 0; index < questions.length; index++) { const question = questions[index]; const custom = typeof simulatedUser.answer === 'function' ? await simulatedUser.answer(question, index, { workspace, trace }) : undefined; answers[question.question] = custom ?? defaultSimulatedAnswer(question); } trace.questionAnswers.push(answers); return JSON.stringify({ answers }); }, }), }; return { tools, trace }; } /** * Run one scenario turn against a model. * * `priorMessages` lets multi-turn scenarios chain context from a previous * call (append the SDK's response messages between turns). */ export async function runTurn({ workspace, model, userPrompt, priorMessages = [], maxSteps = 8, env = {}, simulatedUser = {} }) { const { tools, trace } = makeTools(workspace, env, simulatedUser); const messages = [ ...priorMessages, { role: 'user', content: userPrompt }, ]; let result; try { result = await generateText({ model, system: SKILL_BODY, messages, tools, stopWhen: [stepCountIs(maxSteps)], }); } catch (err) { throw new Error(`LLM behavior turn failed before completing: ${String(err)}`, { cause: err }); } const generatedResponseMessages = result.responseMessages ?? result.response?.messages ?? []; const responseMessages = [...messages, ...generatedResponseMessages]; return { trace, text: result.text ?? '', finishReason: result.finishReason, usage: result.usage, responseMessages, }; } /** * Heuristic helpers — keep the assertion intent declarative in the test file. */ export function bashCommandsMatching(trace, substring) { return trace.bashCommands.filter((cmd) => cmd.includes(substring)); } export function readsMatching(trace, substring) { return trace.readPaths.filter((p) => p.toLowerCase().includes(substring.toLowerCase())); } /** * True if the agent loaded a file by Read OR by a bash `cat` (some models * stream multiple files via bash to save tool calls). */ export function fileLoaded(trace, filename) { return readsMatching(trace, filename).length > 0 || bashCommandsMatching(trace, filename).length > 0; } export function summarizeTrace(trace) { return { totalCalls: trace.toolCalls.length, byName: trace.toolCalls.reduce((acc, c) => ((acc[c.name] = (acc[c.name] ?? 0) + 1), acc), {}), bashCommands: trace.bashCommands, readPaths: trace.readPaths, writePaths: trace.writePaths, questionCalls: trace.questionCalls, questionAnswers: trace.questionAnswers, }; }