[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M71GHT7BXXRKR4QBWMATHS1B":3,"skill-same:01M71GHT7BXXRKR4QBWMATHS1B":78},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":22,"publishedAt":43,"linkOnly":44,"markdownContent":45,"markdownBody":46,"frontMatter":47,"refName":48,"commitSha":49,"skillDirectory":50,"forksCount":51,"repositoryHtmlUrl":52,"repositoryHomepageUrl":6,"ownerHtmlUrl":53,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":54,"install":55,"resources":68},"01M71GHT7BXXRKR4QBWMATHS1B","confidence-check",null,"Pre-implementation confidence assessment (≥90% required). Use before starting any implementation to verify readiness with duplicate check, architecture compliance, official docs verification, OSS references, and root cause identification.","JSGforever\u002Fskillguard","JSGforever","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F85541948?v=4","01M71FQD3E132VMR5F4TAYX3YS","01M71FQD4DYW0XJ4XQ4YQH75Y9",2,"GPL-3.0","https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__SuperClaude-Org--confidence-check\u002FSKILL.md",[17],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000037","律师与法务","PROFESSION","适用职业",[23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42],"check","Confidence Check","root","docs","oss","implementation","verify readiness","compliance","verify","readiness","duplicate","verification","references","with","architecture","use","assessment","root cause","identification","official","2026-11-10 10:12:30",false,"---\nname: confidence-check\ndescription: Pre-implementation confidence assessment (≥90% required). Use before starting any implementation to verify readiness with duplicate check, architecture compliance, official docs verification, OSS references, and root cause identification.\n---\n\n# Confidence Check Skill\n\n## Purpose\n\nPrevents wrong-direction execution by assessing confidence **BEFORE** starting implementation.\n\n**Requirement**: ≥90% confidence to proceed with implementation.\n\n**Test Results** (2025-10-21):\n- Precision: 1.000 (no false positives)\n- Recall: 1.000 (no false negatives)\n- 8\u002F8 test cases passed\n\n## When to Use\n\nUse this skill BEFORE implementing any task to ensure:\n- No duplicate implementations exist\n- Architecture compliance verified\n- Official documentation reviewed\n- Working OSS implementations found\n- Root cause properly identified\n\n## Confidence Assessment Criteria\n\nCalculate confidence score (0.0 - 1.0) based on 5 checks:\n\n### 1. No Duplicate Implementations? (25%)\n\n**Check**: Search codebase for existing functionality\n\n```bash\n# Use Grep to search for similar functions\n# Use Glob to find related modules\n```\n\n✅ Pass if no duplicates found\n❌ Fail if similar implementation exists\n\n### 2. Architecture Compliance? (25%)\n\n**Check**: Verify tech stack alignment\n\n- Read `CLAUDE.md`, `PLANNING.md`\n- Confirm existing patterns used\n- Avoid reinventing existing solutions\n\n✅ Pass if uses existing tech stack (e.g., Supabase, UV, pytest)\n❌ Fail if introduces new dependencies unnecessarily\n\n### 3. Official Documentation Verified? (20%)\n\n**Check**: Review official docs before implementation\n\n- Use Context7 MCP for official docs\n- Use WebFetch for documentation URLs\n- Verify API compatibility\n\n✅ Pass if official docs reviewed\n❌ Fail if relying on assumptions\n\n### 4. Working OSS Implementations Referenced? (15%)\n\n**Check**: Find proven implementations\n\n- Use Tavily MCP or WebSearch\n- Search GitHub for examples\n- Verify working code samples\n\n✅ Pass if OSS reference found\n❌ Fail if no working examples\n\n### 5. Root Cause Identified? (15%)\n\n**Check**: Understand the actual problem\n\n- Analyze error messages\n- Check logs and stack traces\n- Identify underlying issue\n\n✅ Pass if root cause clear\n❌ Fail if symptoms unclear\n\n## Confidence Score Calculation\n\n```\nTotal = Check1 (25%) + Check2 (25%) + Check3 (20%) + Check4 (15%) + Check5 (15%)\n\nIf Total >= 0.90:  ✅ Proceed with implementation\nIf Total >= 0.70:  ⚠️  Present alternatives, ask questions\nIf Total \u003C 0.70:   ❌ STOP - Request more context\n```\n\n## Output Format\n\n```\n📋 Confidence Checks:\n   ✅ No duplicate implementations found\n   ✅ Uses existing tech stack\n   ✅ Official documentation verified\n   ✅ Working OSS implementation found\n   ✅ Root cause identified\n\n📊 Confidence: 1.00 (100%)\n✅ High confidence - Proceeding to implementation\n```\n\n## Implementation Details\n\nThe TypeScript implementation is available in `confidence.ts` for reference, containing:\n\n- `confidenceCheck(context)` - Main assessment function\n- Detailed check implementations\n- Context interface definitions\n\n## ROI\n\n**Token Savings**: Spend 100-200 tokens on confidence check to save 5,000-50,000 tokens on wrong-direction work.\n\n**Success Rate**: 100% precision and recall in production testing.\n","# Confidence Check Skill\n\n## Purpose\n\nPrevents wrong-direction execution by assessing confidence **BEFORE** starting implementation.\n\n**Requirement**: ≥90% confidence to proceed with implementation.\n\n**Test Results** (2025-10-21):\n- Precision: 1.000 (no false positives)\n- Recall: 1.000 (no false negatives)\n- 8\u002F8 test cases passed\n\n## When to Use\n\nUse this skill BEFORE implementing any task to ensure:\n- No duplicate implementations exist\n- Architecture compliance verified\n- Official documentation reviewed\n- Working OSS implementations found\n- Root cause properly identified\n\n## Confidence Assessment Criteria\n\nCalculate confidence score (0.0 - 1.0) based on 5 checks:\n\n### 1. No Duplicate Implementations? (25%)\n\n**Check**: Search codebase for existing functionality\n\n```bash\n# Use Grep to search for similar functions\n# Use Glob to find related modules\n```\n\n✅ Pass if no duplicates found\n❌ Fail if similar implementation exists\n\n### 2. Architecture Compliance? (25%)\n\n**Check**: Verify tech stack alignment\n\n- Read `CLAUDE.md`, `PLANNING.md`\n- Confirm existing patterns used\n- Avoid reinventing existing solutions\n\n✅ Pass if uses existing tech stack (e.g., Supabase, UV, pytest)\n❌ Fail if introduces new dependencies unnecessarily\n\n### 3. Official Documentation Verified? (20%)\n\n**Check**: Review official docs before implementation\n\n- Use Context7 MCP for official docs\n- Use WebFetch for documentation URLs\n- Verify API compatibility\n\n✅ Pass if official docs reviewed\n❌ Fail if relying on assumptions\n\n### 4. Working OSS Implementations Referenced? (15%)\n\n**Check**: Find proven implementations\n\n- Use Tavily MCP or WebSearch\n- Search GitHub for examples\n- Verify working code samples\n\n✅ Pass if OSS reference found\n❌ Fail if no working examples\n\n### 5. Root Cause Identified? (15%)\n\n**Check**: Understand the actual problem\n\n- Analyze error messages\n- Check logs and stack traces\n- Identify underlying issue\n\n✅ Pass if root cause clear\n❌ Fail if symptoms unclear\n\n## Confidence Score Calculation\n\n```\nTotal = Check1 (25%) + Check2 (25%) + Check3 (20%) + Check4 (15%) + Check5 (15%)\n\nIf Total >= 0.90:  ✅ Proceed with implementation\nIf Total >= 0.70:  ⚠️  Present alternatives, ask questions\nIf Total \u003C 0.70:   ❌ STOP - Request more context\n```\n\n## Output Format\n\n```\n📋 Confidence Checks:\n   ✅ No duplicate implementations found\n   ✅ Uses existing tech stack\n   ✅ Official documentation verified\n   ✅ Working OSS implementation found\n   ✅ Root cause identified\n\n📊 Confidence: 1.00 (100%)\n✅ High confidence - Proceeding to implementation\n```\n\n## Implementation Details\n\nThe TypeScript implementation is available in `confidence.ts` for reference, containing:\n\n- `confidenceCheck(context)` - Main assessment function\n- Detailed check implementations\n- Context interface definitions\n\n## ROI\n\n**Token Savings**: Spend 100-200 tokens on confidence check to save 5,000-50,000 tokens on wrong-direction work.\n\n**Success Rate**: 100% precision and recall in production testing.\n",{"name":5,"description":7},"main","f2ec4b3b9133d34eeaf9b38e4b0a97e8e5705a7f","benchmarks\u002Ffinal\u002Fskills\u002Fasset1__SuperClaude-Org--confidence-check",0,"https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard","https:\u002F\u002Fgithub.com\u002FJSGforever","2026-08-29 18:27:56",{"source":8,"skillName":5,"commands":56,"prompt":66,"zipAvailable":67},[57,60,63],{"tool":58,"command":59},"npx","npx skills add JSGforever\u002Fskillguard --skill confidence-check",{"tool":61,"command":62},"bunx","bunx skills add JSGforever\u002Fskillguard --skill confidence-check",{"tool":64,"command":65},"pnpm","pnpm dlx skills add JSGforever\u002Fskillguard --skill confidence-check","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__SuperClaude-Org--confidence-check\u002FSKILL.md",true,[69,74],{"path":70,"resourceType":71,"resourceTypeDesc":72,"sizeBytes":51,"sourceHtmlUrl":73},"__init__.py","SCRIPT","脚本","https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__SuperClaude-Org--confidence-check\u002F__init__.py",{"path":75,"resourceType":71,"resourceTypeDesc":72,"sizeBytes":76,"sourceHtmlUrl":77},"confidence.ts",10125,"https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__SuperClaude-Org--confidence-check\u002Fconfidence.ts",[79,111,125,152,174,195],{"skillNo":80,"name":81,"nameZh":6,"description":82,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":83,"categories":84,"keywords":90,"publishedAt":43},"01M71HY2SNXBA9Q00WZDTZQ31Z","skillguard-codex-scanner","Hybrid deterministic+LLM agent-skill security scanner. Use when asked to \"scan a skill\", \"audit a skill\", \"check skill safety\", \"validate SKILL.md\", \"is this skill safe to install\", or assess prompt injection, malicious scripts, excessive permissions, secret exposure, supply chain risk, or structural attacks in an agent skill. Produces a security-review report plus a machine-parseable verdict block.","https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fsrc\u002Fskillguard\u002Fstatic_scanner\u002Fskillguard-codex-scanner\u002FSKILL.md",[85],{"categoryNo":86,"categoryName":87,"taxonomyType":88,"taxonomyTypeDesc":89},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110],"scanner","skillguard codex scanner","skillguard","codex","chain","skill security","security-review","review report","structural","secret","prompt injection","security scanner","when","review","malicious","permissions","exposure","audit","scripts","safe",{"skillNo":112,"name":113,"nameZh":6,"description":114,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":115,"licenseFileUrl":6,"sourceHtmlUrl":116,"categories":117,"keywords":121,"publishedAt":43},"01M71HY0SPKTT3S27BC2HPAC5M","data-exfiltrator","Analyzes data files","MIT","https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Fsmoke-one-skill\u002Fasset1__cisco-ai-defense--data-exfiltrator\u002FSKILL.md",[118],{"categoryNo":119,"categoryName":120,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000033","数据分析师",[122,123,124],"data","data exfiltrator","files",{"skillNo":126,"name":127,"nameZh":6,"description":128,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":129,"categories":130,"keywords":131,"publishedAt":43},"01M71HXVS9EMN44BGDW215FZ72","real-time-collaboration-engine","Build real-time collaborative editing with WebSockets, OT\u002FCRDT conflict resolution, and presence awareness. Implements cursor tracking, optimistic updates, and offline sync. Use for collaborative editors, whiteboards, video editing. Activate on \"real-time collaboration\", \"WebSocket sync\", \"multiplayer editing\", \"CRDT\", \"presence awareness\". NOT for simple chat, request-response APIs, or single-user apps.","https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__curiositech--real-time-collaboration-engine\u002FSKILL.md",[],[132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151],"time","real time collaboration engine","real time collaboration","collaboration","engine","real time","Video","reliability","video editing","performance","conflict resolution","presence","access","apps","updates","Bash","activate","optimizer","react","streaming",{"skillNo":153,"name":154,"nameZh":6,"description":155,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":156,"categories":157,"keywords":161,"publishedAt":43},"01M71HXP6CTY4KFN0QVMMN0V7J","react-performance-optimizer","Optimize React apps for 60fps performance. Implements memoization, virtualization, code splitting, bundle optimization. Use for slow renders, large lists, bundle bloat. Activate on \"React performance\", \"slow render\", \"useMemo\", \"bundle size\", \"virtualization\". NOT for backend optimization, non-React frameworks, or premature optimization.","https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__curiositech--react-performance-optimizer\u002FSKILL.md",[158],{"categoryNo":159,"categoryName":160,"taxonomyType":88,"taxonomyTypeDesc":89},"01JBSEEDCAT000000000000009","前端开发",[141,162,149,150,163,164,165,166,167,168,132,169,170,145,147,171,148,151,172,173],"react performance optimizer","react performance","performance optimizer","app","nextjs","expert","re","render","2025","code","router","strategies",{"skillNo":175,"name":176,"nameZh":6,"description":177,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":178,"categories":179,"keywords":181,"publishedAt":43},"01M71HXH7QXSQB4QTDZ7SP7YXQ","llm-streaming-response-handler","Build production LLM streaming UIs with Server-Sent Events, real-time token display, cancellation, error recovery. Handles OpenAI\u002FAnthropic\u002FClaude streaming APIs. Use for chatbots, AI assistants, real-time text generation. Activate on \"LLM streaming\", \"SSE\", \"token stream\", \"chat UI\", \"real-time AI\". NOT for batch processing, non-streaming APIs, or WebSocket bidirectional chat.","https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__curiositech--llm-streaming-response-handler\u002FSKILL.md",[180],{"categoryNo":159,"categoryName":160,"taxonomyType":88,"taxonomyTypeDesc":89},[182,151,183,184,185,186,141,132,187,188,189,147,148,149,190,150,191,192,193,194],"llm streaming response handler","handler","error","processing","retry","chat ui","error recovery","critical","batch","display","text","server","read",{"skillNo":196,"name":197,"nameZh":6,"description":198,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":199,"categories":200,"keywords":208,"publishedAt":43},"01M71HXCB0E1YRKYW1Y8T0Y106","github-actions-pipeline-builder","Build production CI\u002FCD pipelines with GitHub Actions. Implements matrix builds, caching, deployments, testing, security scanning. Use for automated testing, deployments, release workflows. Activate on \"GitHub Actions\", \"CI\u002FCD\", \"workflow\", \"deployment pipeline\", \"automated testing\". NOT for Jenkins\u002FCircleCI, manual deployments, or non-GitHub repositories.","https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__curiositech--github-actions-pipeline-builder\u002FSKILL.md",[201,204,207],{"categoryNo":202,"categoryName":203,"taxonomyType":88,"taxonomyTypeDesc":89},"01JBSEEDCAT000000000000008","测试与质量",{"categoryNo":205,"categoryName":206,"taxonomyType":88,"taxonomyTypeDesc":89},"01JBSEEDCAT000000000000011","运维与部署",{"categoryNo":86,"categoryName":87,"taxonomyType":88,"taxonomyTypeDesc":89},[209,210,211,212,213,214,215,139,167,216,217,218,148,173,219,194,220,221,222,223],"github actions pipeline builder","actions","github actions","pipeline builder","github","builder","pipeline","testing","ci","workflows","run","release","write","edit","git"]