| #!/usr/bin/env node |
|
|
| 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, |
| }; |
|
|