[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension-skill-liangdabiao-got-controller-vi":3,"guides-for-liangdabiao-got-controller":219,"similar-k170pvdzmb7fkkpd3dsf0rchp1867wrb":220},{"_creationTime":4,"_id":5,"children":6,"community":7,"display":9,"evaluation":20,"identity":182,"isFallback":187,"parentExtension":188,"providers":189,"relations":194,"repo":196,"workflow":216},1778054165262.0667,"k170pvdzmb7fkkpd3dsf0rchp1867wrb",[],{"reviewCount":8},0,{"description":10,"installMethods":11,"name":12,"sourceUrl":13,"tags":14},"Graph of Thoughts (GoT) Controller - 管理研究图状态，执行图操作（Generate, Aggregate, Refine, Score），优化研究路径质量。当研究主题复杂或多方面、需要策略性探索（深度 vs 广度）、高质量研究时使用此技能。",{},"GoT Controller","https://github.com/liangdabiao/claude-code-stock-deep-research-agent/tree/HEAD/1.claude/skills/got-controller",[15,16,17,18,19],"research","graph-of-thoughts","agent-orchestration","knowledge-management","llm-framework",{"_creationTime":21,"_id":22,"extensionId":5,"locale":23,"result":24,"trustSignals":171,"workflow":180},1778054189418.6223,"kn75842x51dhv8a9kk2r5a7dy9866mr8","en",{"checks":25,"evaluatedAt":161,"extensionSummary":162,"promptVersionExtension":163,"promptVersionScoring":164,"rationale":165,"score":166,"summary":167,"tags":168,"targetMarket":169,"tier":170},[26,31,34,37,41,44,48,52,55,58,63,68,72,75,78,81,84,87,90,94,98,102,106,110,113,116,119,123,126,129,132,135,138,142,145,148,151,154,158],{"category":27,"check":28,"severity":29,"summary":30},"Practical Utility","Problem relevance","pass","The description clearly states the problem of managing complex research graphs and optimizing research quality for multi-faceted topics.",{"category":27,"check":32,"severity":29,"summary":33},"Unique selling proposition","The extension offers a distinct Graph of Thoughts (GoT) framework with specific operations (Generate, Aggregate, Refine, Score) that go beyond basic LLM capabilities for structured research.",{"category":27,"check":35,"severity":29,"summary":36},"Production readiness","The skill provides a well-defined framework for managing research, including clear operations, execution patterns, and state management, making it suitable for complex research workflows.",{"category":38,"check":39,"severity":29,"summary":40},"Scope","Single responsibility principle","The skill focuses exclusively on managing research as a graph of thoughts, with defined operations and research patterns, and does not extend into unrelated domains.",{"category":38,"check":42,"severity":29,"summary":43},"Description quality","The description accurately reflects the skill's functionality, explaining the Graph of Thoughts (GoT) concept, its operations, and its application in research.",{"category":45,"check":46,"severity":29,"summary":47},"Invocation","Scoped tools","The skill exposes specific, well-defined operations (Generate, Aggregate, Refine, Score, KeepBestN) that act as narrow verb-noun specialists for managing research graphs.",{"category":49,"check":50,"severity":29,"summary":51},"Documentation","Configuration & parameter reference","All operations and their usage are clearly documented within the SKILL.md, including when to use them and implementation details. No implicit parameters were observed.",{"category":38,"check":53,"severity":29,"summary":54},"Tool naming","Tool names like 'Generate', 'Aggregate', 'Refine', 'Score', and 'KeepBestN' are descriptive and clearly indicate their function within the GoT framework.",{"category":38,"check":56,"severity":29,"summary":57},"Minimal I/O surface","The operations accept specific parameters (e.g., 'k', 'n', node IDs) and the documentation describes expected outputs, indicating a minimal and focused I/O surface.",{"category":59,"check":60,"severity":61,"summary":62},"License","License usability","info","The README.md mentions 'MIT License' and provides a link, but no dedicated LICENSE file or SPDX identifier in manifest was found. The intent is permissive but wiring is informal.",{"category":64,"check":65,"severity":66,"summary":67},"Maintenance","Commit recency","not_applicable","No commit history available for evaluation.",{"category":69,"check":70,"severity":66,"summary":71},"Security","Secret Management","The skill does not interact with secrets or external APIs that would require secret management.",{"category":69,"check":73,"severity":29,"summary":74},"Injection","The skill operates on structured data (node content, scores) and defined operations, with no indication of loading or executing untrusted third-party data as instructions.",{"category":69,"check":76,"severity":29,"summary":77},"Transitive Supply-Chain Grenades","All logic and data are contained within the skill's bundle; there are no runtime downloads or external script executions.",{"category":69,"check":79,"severity":29,"summary":80},"Sandbox Isolation","The skill manages internal graph state and operations without touching external files or paths outside its defined scope.",{"category":69,"check":82,"severity":29,"summary":83},"Sandbox escape primitives","No detached processes or retry loops around denied tool calls were detected; operations are self-contained.",{"category":69,"check":85,"severity":29,"summary":86},"Data Exfiltration","The skill's operations are internal to research graph management and do not involve reading or submitting confidential data to any third party.",{"category":69,"check":88,"severity":29,"summary":89},"Hidden Text Tricks","Bundled files appear to be free of hidden-steering tricks, using standard markdown and code formatting.",{"category":91,"check":92,"severity":29,"summary":93},"Hooks","Opaque code execution","The skill's logic is implemented in readable markdown and structured operational descriptions, with no obfuscated code or base64 payloads.",{"category":95,"check":96,"severity":29,"summary":97},"Portability","Structural Assumption","The skill manages its internal graph state and operations, making no assumptions about the user's project file layout.",{"category":99,"check":100,"severity":66,"summary":101},"Trust","Issues Attention","No issue data available for evaluation.",{"category":103,"check":104,"severity":66,"summary":105},"Versioning","Release Management","No version information found in manifests or commit history.",{"category":107,"check":108,"severity":29,"summary":109},"Code Execution","Validation","The operations are clearly defined and accept specific parameters, implying internal validation of inputs like node IDs and counts.",{"category":69,"check":111,"severity":66,"summary":112},"Unguarded Destructive Operations","The skill's operations are analytical and do not involve destructive actions like deleting files or making infrastructure changes.",{"category":107,"check":114,"severity":29,"summary":115},"Error Handling","The structured nature of the operations and the detailed documentation imply that errors would be categorized and reported meaningfully, halting the workflow if necessary.",{"category":107,"check":117,"severity":66,"summary":118},"Logging","The skill manages internal state and does not perform destructive actions or outbound calls that would require local audit logging.",{"category":120,"check":121,"severity":66,"summary":122},"Compliance","GDPR","The skill operates on research graph state and does not handle personal data.",{"category":120,"check":124,"severity":29,"summary":125},"Target market","The skill's functionality is general to research management and has no regional or jurisdictional dependencies; targetMarket is global.",{"category":95,"check":127,"severity":29,"summary":128},"Runtime stability","The skill relies on standard markdown and structured LLM operations, with no assumptions about specific editors, shells, or OS environments.",{"category":45,"check":130,"severity":29,"summary":131},"Precise Purpose","The description clearly defines the skill's purpose as managing research graphs via GoT operations and specifies when to use it for complex, multi-faceted research.",{"category":45,"check":133,"severity":29,"summary":134},"Concise Frontmatter","The frontmatter is concise and effectively summarizes the skill's core capability as a Graph of Thoughts (GoT) Controller.",{"category":49,"check":136,"severity":29,"summary":137},"Concise Body","The SKILL.md content is well-structured and under approximately 500 lines, with detailed examples and operation explanations delegated to separate files.",{"category":139,"check":140,"severity":29,"summary":141},"Context","Progressive Disclosure","Detailed explanations, patterns, and examples are provided in separate markdown files, accessible via relative links from the main SKILL.md.",{"category":139,"check":143,"severity":66,"summary":144},"Forked exploration","This skill manages internal state and does not perform deep exploration that would require forking.",{"category":27,"check":146,"severity":29,"summary":147},"Usage examples","Multiple detailed examples are provided in separate files, illustrating various GoT research patterns (balanced, depth-first, breadth-first) with clear inputs and expected operations.",{"category":27,"check":149,"severity":29,"summary":150},"Edge cases","The documentation covers decision logic for choosing operations, best practices for pruning and aggregation, and success metrics, implicitly handling edge cases in research strategy.",{"category":107,"check":152,"severity":66,"summary":153},"Tool Fallback","The skill does not rely on external tools like MCP servers; its operations are self-contained.",{"category":155,"check":156,"severity":29,"summary":157},"Safety","Halt on unexpected state","The documented decision logic and best practices for pruning and aggregation imply a structured approach that would halt or report on unexpected states in research progress.",{"category":95,"check":159,"severity":66,"summary":160},"Cross-skill coupling","The skill is self-contained and manages its own research graph state, without implicit reliance on other skills.",1778054178544,"It orchestrates research as a graph, offering distinct operations like Generate, Aggregate, Refine, and Score, supported by multiple exploration patterns and detailed state management. The skill is designed to optimize research quality and manage complexity through strategic exploration and pruning.","2.0.0","3.4.0","The skill demonstrates excellent documentation, clear scope, and robust operational design. Key findings include its precise purpose, comprehensive usage examples, and well-defined GoT operations, contributing to a high level of trust and utility. The only minor point is the informal license.",95,"This skill provides a sophisticated Graph of Thoughts (GoT) controller for managing complex research projects.",[15,16,17,18,19],"global","verified",{"codeQuality":172,"collectedAt":173,"documentation":174,"maintenance":176,"security":177,"testCoverage":179},{},1778054167445,{"descriptionLength":175,"readmeSize":8},138,{},{"hasNpmPackage":178,"smitheryVerified":178},false,{"hasCi":178,"hasTests":178},{"updatedAt":181},1778054189418,{"githubOwner":183,"githubRepo":184,"locale":23,"slug":185,"type":186},"liangdabiao","claude-code-stock-deep-research-agent","got-controller","skill",true,null,{"extract":190,"llm":193},{"commitSha":191,"license":192},"3299e26cfff82e44bfd6cf8fec9227dffd05c8e5","MIT",{"promptVersionExtension":163,"promptVersionScoring":164,"score":166,"targetMarket":169,"tier":170},{"repoId":195},"kd7dn1teqxkpff2h62faq0js7h864x3y",{"_creationTime":197,"_id":195,"identity":198,"providers":200,"workflow":213},1777995558409.9028,{"githubOwner":183,"githubRepo":184,"sourceUrl":199},"https://github.com/liangdabiao/claude-code-stock-deep-research-agent",{"discover":201,"github":204},{"sources":202},[203],"skills-sh",{"closedIssues90d":8,"forks":205,"homepage":206,"openIssues90d":207,"pushedAt":208,"readmeSize":209,"stars":210,"topics":211},65,"https://www.coze.cn/skills?skill_share_pid=7609692071536132130",2,1772902087000,14461,298,[212],"claude-code",{"discoverAt":214,"extractAt":215,"githubAt":215,"updatedAt":215},1777995558409,1778054166164,{"anyEnrichmentAt":217,"extractAt":218,"githubAt":217,"llmAt":181,"updatedAt":181},1778054165648,1778054165262,[],[221,250,271,290,324,352],{"_creationTime":222,"_id":223,"community":224,"display":225,"identity":235,"providers":239,"relations":244,"workflow":246},1778053622473.659,"k175v48mt9fzh8r2mm6ra7m5gs867jav",{"reviewCount":8},{"description":226,"installMethods":227,"name":228,"sourceUrl":229,"tags":230},"Verify claims in generated output against sources. Use as a separate pass AFTER content generation to catch hallucinations. Critical constraint - cannot be reliably combined with generation in a single pass.",{},"Fact-Check Skill","https://github.com/jwynia/agent-skills/tree/HEAD/skills/general/research/verification/fact-check",[231,15,232,233,234],"verification","hallucination","documentation","safety",{"githubOwner":236,"githubRepo":237,"locale":23,"slug":238,"type":186},"jwynia","agent-skills","fact-check",{"extract":240,"llm":242},{"commitSha":241,"license":192},"e02ec7e226a6e4f8419fd3b88a1d8e472d421b32",{"promptVersionExtension":163,"promptVersionScoring":164,"score":243,"targetMarket":169,"tier":170},98,{"repoId":245},"kd7efn3mprpa8rd8vm5hw5ebzx864fph",{"anyEnrichmentAt":247,"extractAt":248,"githubAt":247,"llmAt":249,"updatedAt":249},1778053625386,1778053622473,1778054012696,{"_creationTime":251,"_id":252,"community":253,"display":254,"identity":264,"providers":266,"relations":269,"workflow":270},1778053622473.657,"k174yf2vmxnqbd8n7fv5mxvw3n866tzc",{"reviewCount":8},{"description":255,"installMethods":256,"name":257,"sourceUrl":258,"tags":259},"Search the web using the agent's built-in WebSearch tool. Use when you need to find current information, verify facts, or research topics. No API key required. Keywords: search, web, internet, lookup, find, research, current events, facts.",{},"Web Search","https://github.com/jwynia/agent-skills/tree/HEAD/skills/general/research/tools/web-search",[260,261,15,262,263],"search","web","information-retrieval","utility",{"githubOwner":236,"githubRepo":237,"locale":23,"slug":265,"type":186},"web-search",{"extract":267,"llm":268},{"commitSha":241,"license":192},{"promptVersionExtension":163,"promptVersionScoring":164,"score":243,"targetMarket":169,"tier":170},{"repoId":245},{"anyEnrichmentAt":247,"extractAt":248,"githubAt":247,"llmAt":249,"updatedAt":249},{"_creationTime":272,"_id":273,"community":274,"display":275,"identity":283,"providers":285,"relations":288,"workflow":289},1778053622473.6575,"k179xp8x1d5vrwv3r4m931ed458660q4",{"reviewCount":8},{"description":276,"installMethods":277,"name":278,"sourceUrl":279,"tags":280},"Search the web using Brave Search API for fast, privacy-respecting results with localization, freshness filtering, and extra snippets. Use when you need web search results with country/language targeting or time-based filtering. Requires BRAVE_API_KEY. Keywords: brave, web search, localized search, privacy search, freshness filtering.",{},"Web Search (Brave Search API)","https://github.com/jwynia/agent-skills/tree/HEAD/skills/general/research/tools/web-search-brave",[265,281,15,282],"brave-search","api",{"githubOwner":236,"githubRepo":237,"locale":23,"slug":284,"type":186},"web-search-brave",{"extract":286,"llm":287},{"commitSha":241,"license":192},{"promptVersionExtension":163,"promptVersionScoring":164,"score":243,"targetMarket":169,"tier":170},{"repoId":245},{"anyEnrichmentAt":247,"extractAt":248,"githubAt":247,"llmAt":249,"updatedAt":249},{"_creationTime":291,"_id":292,"community":293,"display":294,"identity":305,"providers":309,"relations":317,"workflow":319},1778053968286.4954,"k179afn14fzy4sejmjf82fgqa9867ck6",{"reviewCount":8},{"description":295,"installMethods":296,"name":297,"sourceUrl":298,"tags":299},"Searches arXiv for preprints and academic papers, retrieves abstracts, and filters by topic. Use when the user asks to find research papers, search arXiv, look up preprints, find academic articles in physics, math, CS, biology, statistics, or related fields.",{},"arXiv Search","https://github.com/langchain-ai/deepagents/tree/HEAD/libs/cli/examples/skills/arxiv-search",[15,300,301,302,303,304],"data-analytics","arxiv","academic-papers","python","cli",{"githubOwner":306,"githubRepo":307,"locale":23,"slug":308,"type":186},"langchain-ai","deepagents","arxiv-search",{"extract":310,"llm":312,"smithery":313},{"commitSha":311,"license":192},"b108c71d0c570e16c7050c1eac482e15dc35a5ed",{"promptVersionExtension":163,"promptVersionScoring":164,"score":243,"targetMarket":169,"tier":170},{"qualityScore":314,"totalActivations":315,"uniqueUsers":316,"useCount":8,"verified":178},0.7439563,9,8,{"repoId":318},"kd76dna2fvfbnjvzcpd2cwqnyd865xz7",{"anyEnrichmentAt":320,"extractAt":321,"githubAt":322,"llmAt":323,"smitheryAt":320,"updatedAt":323},1778053994907,1778053968286,1778053969344,1778054053159,{"_creationTime":325,"_id":326,"community":327,"display":328,"identity":339,"providers":342,"relations":346,"workflow":348},1778053148350.4187,"k1780ay7627sgcf3rwrbek3g498660jd",{"reviewCount":8},{"description":329,"installMethods":330,"name":331,"sourceUrl":332,"tags":333},"Search and analyze academic literature. Find papers, understand research methodologies, and synthesize academic findings for research projects.",{},"Academic Search","https://github.com/claude-office-skills/skills/tree/HEAD/academic-search",[15,334,335,336,337,338],"academic","papers","literature-review","citations","claude-office-skills",{"githubOwner":338,"githubRepo":340,"locale":23,"slug":341,"type":186},"skills","academic-search",{"extract":343,"llm":345},{"commitSha":344,"license":192},"9c4c7d5cd2813a8936bf2c9fdb174ea883b85a11",{"promptVersionExtension":163,"promptVersionScoring":164,"score":243,"targetMarket":169,"tier":170},{"repoId":347},"kd7fw7xbj58qc2z8whrrjptbed8659db",{"anyEnrichmentAt":349,"extractAt":350,"githubAt":349,"llmAt":351,"updatedAt":351},1778053151766,1778053148350,1778053561145,{"_creationTime":353,"_id":354,"community":355,"display":356,"identity":365,"providers":369,"relations":373,"workflow":375},1778053100136.2388,"k17ba7hx1c2htdr84qc7vc86cd867abn",{"reviewCount":8},{"description":357,"installMethods":358,"name":359,"sourceUrl":360,"tags":361},"Use this skill when the user requests to review, analyze, critique, or summarize academic papers, research articles, preprints, or scientific publications. Supports comprehensive structured reviews covering methodology assessment, contribution evaluation, literature positioning, and constructive feedback generation. Trigger on queries involving paper URLs, uploaded PDFs, arXiv links, or requests like \"review this paper\", \"analyze this research\", \"summarize this study\", or \"write a peer review\".",{},"Academic Paper Review Skill","https://github.com/bytedance/deer-flow/tree/HEAD/skills/public/academic-paper-review",[15,334,362,363,364],"paper-review","analysis","llm",{"githubOwner":366,"githubRepo":367,"locale":23,"slug":368,"type":186},"bytedance","deer-flow","academic-paper-review",{"extract":370,"llm":372},{"commitSha":371,"license":192},"1336872b15c25d45ebcb7c1cf72369c2bdd53187",{"promptVersionExtension":163,"promptVersionScoring":164,"score":243,"targetMarket":169,"tier":170},{"repoId":374},"kd789sm7egx1h0t1jag6zzhcq98656wv",{"anyEnrichmentAt":376,"extractAt":377,"githubAt":376,"llmAt":378,"updatedAt":378},1778053101076,1778053100136,1778053169012]