- Add malware security advisory page and SecurityAlertBanner component - Add review diagnostics API and reviewed stats page - Improve skill detail page with better scoring display and metadata - Update review API endpoints with enhanced filtering and stats - Add skill file serving improvements and cache enhancements - Remove legacy curation scripts (moved to internal tooling) - Update CLI search with score filtering support Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
165 lines
6.5 KiB
TypeScript
165 lines
6.5 KiB
TypeScript
import { type NextRequest, NextResponse } from 'next/server';
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import { createDb, skillReviewQueries } from '@skillhub/db';
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import { requireAdmin } from '@/lib/admin-auth';
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import { withRateLimit, createRateLimitResponse, createRateLimitHeaders } from '@/lib/rate-limit';
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export const maxDuration = 60; // seconds — queries 55K+ skills with owner-cap logic
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const db = createDb();
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/**
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* GET /api/review/pending
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* Returns a batch of skills ready for AI review.
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* Supports owner-capped batches for diversity and hybrid re-review/new-review mixing.
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*
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* Query params:
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* batch_size - number of skills to return (default 20, max 50)
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* offset - number of skills to skip for pagination (default 0)
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* min_quality - minimum quality_score (default 50)
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* security - security_status filter (default "pass")
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* priority - "re-review" to show needs-re-review first, "re-review-all" to include already ai-reviewed skills
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* owner_limit - max skills per github_owner in batch (default 0=unlimited, max 10)
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* sort_by - sort order: "quality" (default), "stars", "downloads"
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* min_ai_score - minimum latestAiScore filter (for targeted re-review)
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* max_ai_score - maximum latestAiScore filter (for targeted re-review)
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* reviewed_before - ISO date string, only include skills reviewed before this date
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*/
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export async function GET(request: NextRequest) {
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// Rate limiting
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const rateLimitResult = await withRateLimit(request, 'anonymous');
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if (!rateLimitResult.allowed) {
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return createRateLimitResponse(rateLimitResult);
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}
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// Admin check (supports API key auth via Authorization header)
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const adminCheck = await requireAdmin(request);
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if (!adminCheck.authorized) {
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return adminCheck.response;
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}
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try {
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const { searchParams } = new URL(request.url);
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const batchSize = Math.min(
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Math.max(parseInt(searchParams.get('batch_size') ?? '20', 10) || 20, 1),
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50
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);
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const offset = Math.max(parseInt(searchParams.get('offset') ?? '0', 10) || 0, 0);
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const minQuality = parseInt(searchParams.get('min_quality') ?? '50', 10) || 50;
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const securityPass = searchParams.get('security') !== 'any';
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const priorityParam = searchParams.get('priority') ?? '';
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const priorityReReview = priorityParam === 're-review';
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const reReviewAll = priorityParam === 're-review-all';
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const ownerLimit = Math.min(
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Math.max(parseInt(searchParams.get('owner_limit') ?? '0', 10) || 0, 0),
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10
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);
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const currentReviewVersion = Math.max(
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parseInt(searchParams.get('review_version') ?? '0', 10) || 0, 0
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);
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const sortBy = (['quality', 'stars', 'downloads'] as const).includes(
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searchParams.get('sort_by') as 'quality' | 'stars' | 'downloads'
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) ? (searchParams.get('sort_by') as 'quality' | 'stars' | 'downloads') : 'quality';
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const minAiScoreParam = searchParams.get('min_ai_score');
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const minAiScore = minAiScoreParam ? parseInt(minAiScoreParam, 10) : undefined;
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const maxAiScoreParam = searchParams.get('max_ai_score');
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const maxAiScore = maxAiScoreParam ? parseInt(maxAiScoreParam, 10) : undefined;
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const reviewedBefore = searchParams.get('reviewed_before') || undefined;
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// Run counts in parallel
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const [totalPending, reReviews] = await Promise.all([
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skillReviewQueries.countPending(db, { minQuality, securityPass }),
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skillReviewQueries.countReReviews(db),
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]);
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// Re-review-all mode: skip hybrid mixing, just fetch all reviewable skills
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let batch: Array<{ id: string; githubOwner?: string; github_owner?: string; [key: string]: unknown }> = [];
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if (reReviewAll) {
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const extraSlots = ownerLimit > 0 ? Math.min(batchSize, 10) : 0;
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const allBatch = await skillReviewQueries.getPending(db, {
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batchSize: batchSize + extraSlots,
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offset,
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minQuality,
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securityPass,
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reReviewAll: true,
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ownerLimit,
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currentReviewVersion,
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sortBy,
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minAiScore,
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maxAiScore,
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reviewedBefore,
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}) as typeof batch;
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batch = [...allBatch].slice(0, batchSize);
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} else {
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// Normal mode: Hybrid batch — mix re-reviews (up to 5) with new reviews
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const reReviewSlots = Math.min(5, reReviews, batchSize);
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if (reReviewSlots > 0 && !priorityReReview) {
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// Fetch re-reviews first (up to 5)
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const reReviewBatch = await skillReviewQueries.getPending(db, {
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batchSize: reReviewSlots,
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minQuality: 0, // re-reviews regardless of quality
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securityPass,
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priorityReReview: true,
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ownerLimit,
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sortBy,
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});
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batch = [...reReviewBatch] as typeof batch;
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}
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// Fill remaining slots with new reviews (or all slots if priority=re-review)
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const remainingSlots = batchSize - batch.length;
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if (remainingSlots > 0) {
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// Request extra to compensate for owner deduplication
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const extraSlots = ownerLimit > 0 ? Math.min(remainingSlots, 10) : 0;
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const newBatch = await skillReviewQueries.getPending(db, {
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batchSize: priorityReReview ? batchSize : (remainingSlots + extraSlots),
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offset,
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minQuality,
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securityPass,
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priorityReReview,
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ownerLimit,
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sortBy,
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}) as typeof batch;
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if (priorityReReview) {
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batch = [...newBatch];
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} else if (ownerLimit > 0 && batch.length > 0) {
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// Deduplicate owners: count per-owner across both batches
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const ownerCounts: Record<string, number> = {};
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for (const s of batch) {
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const owner = (s.githubOwner ?? s.github_owner ?? 'unknown') as string;
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ownerCounts[owner] = (ownerCounts[owner] || 0) + 1;
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}
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for (const s of newBatch) {
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const owner = (s.githubOwner ?? s.github_owner ?? 'unknown') as string;
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if ((ownerCounts[owner] || 0) >= ownerLimit) continue; // Skip — owner already at cap
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ownerCounts[owner] = (ownerCounts[owner] || 0) + 1;
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batch.push(s);
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if (batch.length >= batchSize) break;
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}
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} else {
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batch = [...batch, ...newBatch].slice(0, batchSize);
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}
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}
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}
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return NextResponse.json(
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{
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total_pending: totalPending,
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re_reviews: reReviews,
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batch,
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},
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{
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headers: createRateLimitHeaders(rateLimitResult),
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}
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);
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} catch (error) {
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console.error('[Review] Error fetching pending:', error);
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return NextResponse.json(
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{ error: 'Failed to fetch pending reviews' },
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{ status: 500 }
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);
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}
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}
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