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13.4 kB
| const { | |
| SUPPORTED_INSTALL_TARGETS, | |
| listInstallComponents, | |
| listInstallProfiles, | |
| loadInstallManifests, | |
| } = require('./lib/install-manifests'); | |
| const DEFAULT_TARGET = 'claude'; | |
| const DEFAULT_LIMIT = 5; | |
| const MAX_LIMIT = 20; | |
| const SCHEMA_VERSION = 'ecc.consult.v1'; | |
| const FUZZY_EXCLUDED_TOKENS = new Set(['review']); | |
| const MACHINE_LEARNING_CONTEXT_TOKENS = new Set([ | |
| 'data-science', | |
| 'evals', | |
| 'evaluation', | |
| 'inference', | |
| 'ml', | |
| 'mle', | |
| 'mlops', | |
| 'model', | |
| 'models', | |
| 'pytorch', | |
| 'serving', | |
| 'training', | |
| ]); | |
| const STOP_WORDS = new Set([ | |
| 'a', | |
| 'an', | |
| 'and', | |
| 'app', | |
| 'are', | |
| 'for', | |
| 'from', | |
| 'i', | |
| 'in', | |
| 'into', | |
| 'me', | |
| 'need', | |
| 'of', | |
| 'on', | |
| 'please', | |
| 'skill', | |
| 'skills', | |
| 'the', | |
| 'to', | |
| 'want', | |
| 'with', | |
| ]); | |
| const COMPONENT_ALIASES = Object.freeze({ | |
| 'capability:security': [ | |
| 'appsec', | |
| 'auth', | |
| 'authorization', | |
| 'checklist', | |
| 'hardening', | |
| 'pentest', | |
| 'secret', | |
| 'secrets', | |
| 'threat', | |
| 'vulnerability', | |
| 'vulnerabilities', | |
| ], | |
| 'capability:database': ['db', 'migration', 'migrations', 'postgres', 'postgresql', 'schema', 'sql'], | |
| 'capability:research': ['api', 'apis', 'exa', 'external', 'investigation', 'search'], | |
| 'capability:content': ['article', 'brand', 'business', 'copy', 'linkedin', 'writing'], | |
| 'capability:operators': ['automation', 'billing', 'connected', 'ops', 'operator', 'workspace'], | |
| 'capability:social': ['distribution', 'post', 'posting', 'publish', 'publishing', 'twitter', 'x'], | |
| 'capability:media': ['editing', 'image', 'remotion', 'slides', 'video'], | |
| 'capability:orchestration': ['dmux', 'parallel', 'tmux', 'worktree', 'worktrees'], | |
| 'capability:machine-learning': [ | |
| 'data-science', | |
| 'ml', | |
| 'mle', | |
| 'mlops', | |
| 'model', | |
| 'models', | |
| 'pytorch', | |
| 'training', | |
| ], | |
| 'agent:mle-reviewer': [ | |
| 'data-science', | |
| 'ml', | |
| 'mle', | |
| 'mlops', | |
| 'model', | |
| 'models', | |
| 'pytorch', | |
| 'training', | |
| 'inference', | |
| 'serving', | |
| 'evaluation', | |
| 'evals', | |
| 'model-review', | |
| 'review-training', | |
| ], | |
| 'framework:nextjs': ['next', 'next.js', 'nextjs'], | |
| 'framework:react': ['react', 'tsx'], | |
| 'framework:django': ['django'], | |
| 'framework:springboot': ['spring', 'springboot'], | |
| 'lang:typescript': ['javascript', 'js', 'node', 'nodejs', 'ts'], | |
| 'lang:python': ['py'], | |
| 'lang:go': ['golang'], | |
| }); | |
| const PROFILE_ALIASES = Object.freeze({ | |
| minimal: ['low-context', 'lean', 'no-hooks', 'base', 'lightweight'], | |
| core: ['baseline', 'default', 'starter'], | |
| developer: ['app', 'code', 'coding', 'engineering', 'software'], | |
| security: ['appsec', 'audit', 'hardening', 'review', 'threat', 'vulnerability'], | |
| research: ['content', 'investigation', 'publishing', 'synthesis'], | |
| full: ['all', 'complete', 'everything'], | |
| }); | |
| function showHelp(exitCode = 0) { | |
| console.log(` | |
| Consult ECC install components and profiles from any project | |
| Usage: | |
| node scripts/consult.js "security reviews" [--target <target>] [--limit <n>] [--json] | |
| node scripts/consult.js security reviews --target codex | |
| Options: | |
| --target <target> Install target to include in suggested commands. Default: ${DEFAULT_TARGET} | |
| --limit <n> Maximum component recommendations to return. Default: ${DEFAULT_LIMIT} | |
| --json Emit machine-readable consultation JSON | |
| --help Show this help text | |
| Examples: | |
| node scripts/consult.js "security reviews" | |
| node scripts/consult.js "Next.js React app" --target cursor | |
| node scripts/consult.js "operator workflows" --target codex --json | |
| `); | |
| process.exit(exitCode); | |
| } | |
| function normalizeToken(value) { | |
| return String(value || '') | |
| .toLowerCase() | |
| .replace(/\.js\b/g, 'js') | |
| .replace(/[^a-z0-9:+-]+/g, ' ') | |
| .trim(); | |
| } | |
| function expandToken(token) { | |
| const values = new Set([token]); | |
| if (token.endsWith('ies') && token.length > 4) { | |
| values.add(`${token.slice(0, -3)}y`); | |
| } | |
| if (token.endsWith('es') && token.length > 4 && !token.endsWith('js')) { | |
| values.add(token.slice(0, -2)); | |
| } | |
| if (token.endsWith('s') && token.length > 4 && !token.endsWith('js')) { | |
| values.add(token.slice(0, -1)); | |
| } | |
| if (token.endsWith('ing') && token.length > 6) { | |
| values.add(token.slice(0, -3)); | |
| } | |
| return [...values].filter(Boolean); | |
| } | |
| function tokenize(value) { | |
| const normalized = normalizeToken(value); | |
| if (!normalized) { | |
| return []; | |
| } | |
| const tokens = []; | |
| for (const token of normalized.split(/\s+/)) { | |
| if (!token || STOP_WORDS.has(token)) { | |
| continue; | |
| } | |
| tokens.push(...expandToken(token)); | |
| } | |
| return [...new Set(tokens)]; | |
| } | |
| function parsePositiveInteger(value, label) { | |
| if (!/^[1-9]\d*$/.test(String(value || ''))) { | |
| throw new Error(`${label} must be a positive integer`); | |
| } | |
| return Number(value); | |
| } | |
| function parseArgs(argv) { | |
| const args = argv.slice(2); | |
| const parsed = { | |
| queryParts: [], | |
| target: DEFAULT_TARGET, | |
| limit: DEFAULT_LIMIT, | |
| json: false, | |
| help: false, | |
| }; | |
| if (args.includes('--help') || args.includes('-h')) { | |
| parsed.help = true; | |
| return parsed; | |
| } | |
| for (let index = 0; index < args.length; index += 1) { | |
| const arg = args[index]; | |
| if (arg === '--json') { | |
| parsed.json = true; | |
| } else if (arg === '--target') { | |
| if (!args[index + 1] || args[index + 1].startsWith('-')) { | |
| throw new Error('Missing value for --target'); | |
| } | |
| parsed.target = args[index + 1]; | |
| index += 1; | |
| } else if (arg === '--limit') { | |
| if (!args[index + 1]) { | |
| throw new Error('Missing value for --limit'); | |
| } | |
| parsed.limit = Math.min(parsePositiveInteger(args[index + 1], '--limit'), MAX_LIMIT); | |
| index += 1; | |
| } else if (arg.startsWith('-')) { | |
| throw new Error(`Unknown argument: ${arg}`); | |
| } else { | |
| parsed.queryParts.push(arg); | |
| } | |
| } | |
| if (!SUPPORTED_INSTALL_TARGETS.includes(parsed.target)) { | |
| throw new Error( | |
| `Unknown install target: ${parsed.target}. Expected one of ${SUPPORTED_INSTALL_TARGETS.join(', ')}` | |
| ); | |
| } | |
| parsed.query = parsed.queryParts.join(' ').trim(); | |
| return parsed; | |
| } | |
| function commandFor(kind, id, target) { | |
| if (kind === 'profile') { | |
| return `npx ecc-universal install --profile ${id} --target ${target}`; | |
| } | |
| return `npx ecc-universal install --profile minimal --target ${target} --with ${id}`; | |
| } | |
| function planCommandFor(componentId, target) { | |
| return `npx ecc-universal plan --profile minimal --target ${target} --with ${componentId}`; | |
| } | |
| function buildSearchCorpus(parts) { | |
| return tokenize(parts.filter(Boolean).join(' ')); | |
| } | |
| function scoreAgainstQuery(queryTokens, corpusTokens, options = {}) { | |
| const corpus = new Set(corpusTokens); | |
| const reasons = []; | |
| let score = 0; | |
| queryTokens.forEach((token, index) => { | |
| if (corpus.has(token)) { | |
| score += index === 0 ? 5 : 4; | |
| reasons.push(`matched "${token}"`); | |
| return; | |
| } | |
| if ( | |
| token.length >= 4 | |
| && !FUZZY_EXCLUDED_TOKENS.has(token) | |
| && [...corpus].some(corpusToken => ( | |
| corpusToken.length >= 4 | |
| && (corpusToken.includes(token) || token.includes(corpusToken)) | |
| )) | |
| ) { | |
| score += 1; | |
| reasons.push(`fuzzy matched "${token}"`); | |
| } | |
| }); | |
| if (options.preferred && reasons.length > 0) { | |
| score += options.preferred; | |
| } | |
| return { score, reasons: [...new Set(reasons)] }; | |
| } | |
| function preferredComponentBonus(component, queryTokens) { | |
| let bonus = 0; | |
| const suffix = component.id.split(':')[1]; | |
| const hasMachineLearningContext = queryTokens.some(token => MACHINE_LEARNING_CONTEXT_TOKENS.has(token)); | |
| if (queryTokens[0] === suffix) { | |
| bonus += 5; | |
| } | |
| if (component.family === 'capability') { | |
| bonus += 3; | |
| } | |
| if (component.id === 'agent:mle-reviewer' && hasMachineLearningContext) { | |
| bonus += 2; | |
| } | |
| if ( | |
| component.id === 'capability:security' | |
| && ( | |
| queryTokens.some(token => ['audit', 'security', 'threat', 'vulnerability'].includes(token)) | |
| || (!hasMachineLearningContext && queryTokens.includes('review')) | |
| ) | |
| ) { | |
| bonus += 4; | |
| } | |
| return bonus; | |
| } | |
| function rankComponents({ queryTokens, target, limit }) { | |
| return listInstallComponents({ target }) | |
| .map(component => { | |
| const aliases = COMPONENT_ALIASES[component.id] || []; | |
| const corpusTokens = buildSearchCorpus([ | |
| component.id.replace(':', ' '), | |
| component.family, | |
| component.description, | |
| component.moduleIds.join(' '), | |
| aliases.join(' '), | |
| ]); | |
| const { score, reasons } = scoreAgainstQuery(queryTokens, corpusTokens, { | |
| preferred: preferredComponentBonus(component, queryTokens), | |
| }); | |
| return { | |
| component, | |
| score, | |
| reasons, | |
| }; | |
| }) | |
| .filter(result => result.score > 0) | |
| .sort((left, right) => ( | |
| right.score - left.score | |
| || left.component.family.localeCompare(right.component.family) | |
| || left.component.id.localeCompare(right.component.id) | |
| )) | |
| .slice(0, limit) | |
| .map(result => ({ | |
| componentId: result.component.id, | |
| family: result.component.family, | |
| description: result.component.description, | |
| moduleIds: result.component.moduleIds, | |
| targets: result.component.targets, | |
| score: result.score, | |
| reasons: result.reasons.length > 0 ? result.reasons : ['related install component'], | |
| installCommand: commandFor('component', result.component.id, target), | |
| planCommand: planCommandFor(result.component.id, target), | |
| })); | |
| } | |
| function rankProfiles({ queryTokens, target, limit }) { | |
| const manifests = loadInstallManifests(); | |
| return listInstallProfiles() | |
| .map(profile => { | |
| const profileDefinition = manifests.profiles[profile.id] || {}; | |
| const aliases = PROFILE_ALIASES[profile.id] || []; | |
| const corpusTokens = buildSearchCorpus([ | |
| profile.id, | |
| profile.description, | |
| (profileDefinition.modules || []).join(' '), | |
| aliases.join(' '), | |
| ]); | |
| const preferred = queryTokens.includes(profile.id) ? 4 : 0; | |
| const { score, reasons } = scoreAgainstQuery(queryTokens, corpusTokens, { preferred }); | |
| return { | |
| profile, | |
| score, | |
| reasons, | |
| }; | |
| }) | |
| .filter(result => result.score > 0) | |
| .sort((left, right) => right.score - left.score || left.profile.id.localeCompare(right.profile.id)) | |
| .slice(0, Math.min(3, limit)) | |
| .map(result => ({ | |
| id: result.profile.id, | |
| description: result.profile.description, | |
| moduleCount: result.profile.moduleCount, | |
| score: result.score, | |
| reasons: result.reasons.length > 0 ? result.reasons : ['related install profile'], | |
| installCommand: commandFor('profile', result.profile.id, target), | |
| })); | |
| } | |
| function buildConsultation(options) { | |
| const queryTokens = tokenize(options.query); | |
| if (queryTokens.length === 0) { | |
| throw new Error('Consult requires a natural language query, for example: security reviews'); | |
| } | |
| const matches = rankComponents({ | |
| queryTokens, | |
| target: options.target, | |
| limit: options.limit, | |
| }); | |
| const profiles = rankProfiles({ | |
| queryTokens, | |
| target: options.target, | |
| limit: options.limit, | |
| }); | |
| return { | |
| schemaVersion: SCHEMA_VERSION, | |
| query: options.query, | |
| target: options.target, | |
| generatedAt: new Date().toISOString(), | |
| matches, | |
| profiles, | |
| nextSteps: matches.length > 0 | |
| ? [ | |
| `Preview the top component: ${matches[0].planCommand}`, | |
| `Install it: ${matches[0].installCommand}`, | |
| ] | |
| : [ | |
| 'Run `npx ecc-universal catalog components` to browse all components.', | |
| 'Try a more specific query such as "security review", "Next.js", or "operator workflows".', | |
| ], | |
| }; | |
| } | |
| function formatText(payload) { | |
| const lines = [ | |
| `ECC consult (${payload.generatedAt})`, | |
| `Query: ${payload.query}`, | |
| `Target: ${payload.target}`, | |
| '', | |
| ]; | |
| if (payload.matches.length === 0) { | |
| lines.push('No strong component matches found.'); | |
| lines.push('Try: npx ecc-universal catalog components'); | |
| } else { | |
| lines.push('Recommended components:'); | |
| payload.matches.forEach((match, index) => { | |
| lines.push(`${index + 1}. ${match.componentId} [${match.family}]`); | |
| lines.push(` ${match.description}`); | |
| lines.push(` Install: ${match.installCommand}`); | |
| lines.push(` Preview: ${match.planCommand}`); | |
| lines.push(` Why: ${match.reasons.join('; ')}`); | |
| }); | |
| } | |
| if (payload.profiles.length > 0) { | |
| lines.push(''); | |
| lines.push('Related profiles:'); | |
| payload.profiles.forEach(profile => { | |
| lines.push(`- ${profile.id}: ${profile.description}`); | |
| lines.push(` Install: ${profile.installCommand}`); | |
| }); | |
| } | |
| lines.push(''); | |
| lines.push('Next steps:'); | |
| payload.nextSteps.forEach(step => lines.push(`- ${step}`)); | |
| return `${lines.join('\n')}\n`; | |
| } | |
| function main() { | |
| try { | |
| const options = parseArgs(process.argv); | |
| if (options.help) { | |
| showHelp(0); | |
| } | |
| const payload = buildConsultation(options); | |
| if (options.json) { | |
| console.log(JSON.stringify(payload, null, 2)); | |
| } else { | |
| process.stdout.write(formatText(payload)); | |
| } | |
| } catch (error) { | |
| console.error(`Error: ${error.message}`); | |
| process.exit(1); | |
| } | |
| } | |
| if (require.main === module) { | |
| main(); | |
| } | |
| module.exports = { | |
| buildConsultation, | |
| formatText, | |
| parseArgs, | |
| tokenize, | |
| }; | |