[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension-skill-alchaincyf-darwin-skill-ar":3,"guides-for-alchaincyf-darwin-skill":213,"similar-k178a5eex1cg3927efkz9vqnan867d5g":214},{"_creationTime":4,"_id":5,"children":6,"community":7,"display":9,"evaluation":20,"identity":180,"isFallback":184,"parentExtension":185,"providers":186,"relations":191,"repo":193,"workflow":210},1778054608897.8057,"k178a5eex1cg3927efkz9vqnan867d5g",[],{"reviewCount":8},0,{"description":10,"installMethods":11,"name":12,"sourceUrl":13,"tags":14},"Darwin Skill (达尔文.skill): autonomous skill optimizer inspired by Karpathy's autoresearch. Evaluates SKILL.md files using an 8-dimension rubric (structure + effectiveness), runs hill-climbing with git version control, validates improvements through test prompts, and generates visual result cards. Use when user mentions \"优化skill\", \"skill评分\", \"自动优化\", \"auto optimize\", \"skill质量检查\", \"达尔文\", \"darwin\", \"帮我改改skill\", \"skill怎么样\", \"提升skill质量\", \"skill review\", \"skill打分\".",{},"Darwin Skill","https://github.com/alchaincyf/darwin-skill",[15,16,17,18,19],"skill-optimization","agent","automation","git","quality-assurance",{"_creationTime":21,"_id":22,"extensionId":5,"locale":23,"result":24,"trustSignals":169,"workflow":178},1778054618038.213,"kn7c12ve4gjytxd6zfsmgz74cs867976","en",{"checks":25,"evaluatedAt":159,"extensionSummary":160,"promptVersionExtension":161,"promptVersionScoring":162,"rationale":163,"score":164,"summary":165,"tags":166,"targetMarket":167,"tier":168},[26,31,34,37,41,44,48,51,55,59,63,66,69,73,77,81,85,90,93,97,100,103,106,109,112,115,119,122,127,131,134,137,140,143,147,150,153,156],{"category":27,"check":28,"severity":29,"summary":30},"Practical Utility","Problem relevance","pass","The description clearly states that the extension acts as an autonomous skill optimizer and names specific user problems and trigger phrases, providing concrete relevance.",{"category":27,"check":32,"severity":29,"summary":33},"Unique selling proposition","The extension offers a unique value proposition by automating skill optimization based on a defined rubric and Git version control, which goes beyond basic agent capabilities or simple API wrappers.",{"category":27,"check":35,"severity":29,"summary":36},"Production readiness","The extension outlines a complete optimization lifecycle, including evaluation, improvement, testing, and human confirmation, suggesting it is ready for use in real workflows.",{"category":38,"check":39,"severity":29,"summary":40},"Scope","Single responsibility principle","The extension's core responsibility is skill optimization, and while it interacts with other skills, its primary focus remains clear and doesn't appear to bundle unrelated functionalities.",{"category":38,"check":42,"severity":29,"summary":43},"Description quality","The description is concise, readable, and accurately reflects the extension's function as an autonomous skill optimizer inspired by Karpathy's autoresearch.",{"category":45,"check":46,"severity":29,"summary":47},"Invocation","Precise Purpose","The SKILL.md frontmatter precisely defines the skill's purpose as an autonomous skill optimizer, specifies its core loop, and lists trigger phrases, clearly indicating its scope and use cases.",{"category":45,"check":49,"severity":29,"summary":50},"Concise Frontmatter","The frontmatter is concise and self-contained, providing a clear summary of the core capability and trigger phrases without excessive keyword stuffing.",{"category":52,"check":53,"severity":29,"summary":54},"Documentation","Concise Body","The SKILL.md body is well-structured, explaining the concepts and phases without excessive verbosity, and defers deeper material to visual aids.",{"category":56,"check":57,"severity":29,"summary":58},"Context","Progressive Disclosure","The SKILL.md uses visual diagrams and tables effectively to explain complex concepts like the core loop, evaluation rubric, and optimization cycle, aiding understanding without lengthy inline text.",{"category":56,"check":60,"severity":61,"summary":62},"Forked exploration","not_applicable","The skill itself is the optimizer, not an exploration tool, so the `context: fork` setting is not applicable.",{"category":27,"check":64,"severity":29,"summary":65},"Usage examples","The README provides clear usage examples via npx commands and instructions for manual installation, with links to assets and a GitHub repository.",{"category":27,"check":67,"severity":29,"summary":68},"Edge cases","The SKILL.md details numerous edge cases and fallback mechanisms for the optimization process, including git operations and file handling, providing clear recovery paths.",{"category":70,"check":71,"severity":61,"summary":72},"Code Execution","Tool Fallback","The skill primarily uses Claude-internal tools and git, not external MCP servers or specific toolkits that would require fallbacks or version pinning.",{"category":74,"check":75,"severity":29,"summary":76},"Safety","Halt on unexpected state","The SKILL.md explicitly outlines fallback mechanisms for various unexpected states, such as missing git repositories or results files, ensuring the workflow halts gracefully and informs the user.",{"category":78,"check":79,"severity":29,"summary":80},"Portability","Cross-skill coupling","The skill operates independently on SKILL.md files and git, without explicit reliance on other specific skills being loaded in the same session.",{"category":82,"check":83,"severity":29,"summary":84},"License","License usability","The README explicitly states the license as MIT, and a LICENSE file is present in the repository root.",{"category":86,"check":87,"severity":88,"summary":89},"Maintenance","Commit recency","warning","There are no commits on the default branch in the last 12 months (pushedAt is n/a), indicating the project may be unmaintained.",{"category":86,"check":91,"severity":61,"summary":92},"Dependency Management","The skill does not appear to use any third-party dependencies beyond standard Node.js modules and git, so dependency management checks are not applicable.",{"category":94,"check":95,"severity":29,"summary":96},"Security","Secret Management","The skill focuses on file manipulation and scoring, and does not appear to handle or expose secrets.",{"category":94,"check":98,"severity":29,"summary":99},"Injection","The skill processes SKILL.md files and uses git commands, with no indication of loading untrusted external data as instructions.",{"category":94,"check":101,"severity":29,"summary":102},"Transitive Supply-Chain Grenades","All assets appear to be bundled within the skill's repository, and there are no runtime downloads or remote execution patterns observed.",{"category":94,"check":104,"severity":29,"summary":105},"Sandbox Isolation","The skill's operations are confined to git repository management and file operations within the skill's scope, with no attempts to access external or user-specific paths outside its mandate.",{"category":94,"check":107,"severity":29,"summary":108},"Sandbox escape primitives","No detached process spawns, retry loops around denied calls, or background child processes that could escape the sandbox are evident.",{"category":94,"check":110,"severity":29,"summary":111},"Data Exfiltration","The skill's functions do not involve reading or submitting confidential data to any third party.",{"category":94,"check":113,"severity":29,"summary":114},"Hidden Text Tricks","The bundled files (READMEs, SKILL.md) appear to be free of hidden steering tricks, control characters, or invisible Unicode sequences.",{"category":116,"check":117,"severity":29,"summary":118},"Hooks","Opaque code execution","The skill's logic is described in human-readable markdown and appears to be executed through standard interpretation, with no signs of obfuscation like base64 payloads or eval statements.",{"category":78,"check":120,"severity":29,"summary":121},"Structural Assumption","The skill primarily interacts with git and the SKILL.md file structure, with fallback mechanisms for potential environmental differences.",{"category":123,"check":124,"severity":125,"summary":126},"Trust","Issues Attention","insufficient_data","No issues data is available (n/a for opened/closed), preventing evaluation of maintainer engagement.",{"category":128,"check":129,"severity":88,"summary":130},"Versioning","Release Management","No manifest version, GitHub releases, or CHANGELOG are present, and installation instructions rely on npx, making version pinning impossible.",{"category":70,"check":132,"severity":29,"summary":133},"Validation","The SKILL.md outlines specific file processing and git command usage, with fallback mechanisms to handle unexpected states, implying internal validation and sanitization.",{"category":94,"check":135,"severity":29,"summary":136},"Unguarded Destructive Operations","The skill's primary operations involve git commands and file modifications related to skill optimization, with a robust revert mechanism and human confirmation steps for all changes, preventing unguarded destructive operations.",{"category":70,"check":138,"severity":29,"summary":139},"Error Handling","The SKILL.md details extensive fallback and error handling strategies for various scenarios, ensuring graceful failure and user notification rather than silent retries or opaque errors.",{"category":70,"check":141,"severity":29,"summary":142},"Logging","The skill's process involves git commits and explicit human confirmation steps, providing an audit trail for actions taken.",{"category":144,"check":145,"severity":61,"summary":146},"Compliance","GDPR","The skill does not operate on personal data; it focuses on optimizing skill files and using git.",{"category":144,"check":148,"severity":29,"summary":149},"Target market","The skill is a general-purpose optimization tool for Agent Skills, with no discernible regional or jurisdictional logic, making it globally applicable.",{"category":78,"check":151,"severity":29,"summary":152},"Runtime stability","The skill relies on standard Node.js, git, and the Claude Code runtime environment, with explicit handling for potential issues, ensuring broad portability.",{"category":38,"check":154,"severity":29,"summary":155},"Tool naming","The skill does not expose user-facing tools in the traditional sense; its operations are described within the SKILL.md and managed via git.",{"category":38,"check":157,"severity":29,"summary":158},"Minimal I/O surface","The skill's inputs are primarily the SKILL.md files themselves and user commands, with outputs being git commits and optimization reports, all managed within the defined scope.",1778054617670,"This skill automatically optimizes Agent Skills by evaluating them against an 8-dimension rubric, performing hill-climbing with Git version control, and validating improvements with test prompts. It follows a meticulous lifecycle of evaluate-improve-test-confirm, ensuring only measurable advancements are kept.","2.0.0","3.4.0","The extension is highly innovative and well-documented, offering a unique and valuable service for skill optimization. However, the lack of recent commits and a clear versioning strategy introduces maintenance and trust concerns, leading to an 'evaluated' tier. The comprehensive documentation and clear process warrant a good score.",75,"A highly innovative skill optimizer that automates the improvement of Agent Skills through a defined rubric and Git version control, though it suffers from a lack of recent maintenance.",[15,16,17,18,19],"global","evaluated",{"codeQuality":170,"collectedAt":171,"documentation":172,"maintenance":174,"security":175,"testCoverage":177},{},1778054610438,{"descriptionLength":173,"readmeSize":8},461,{},{"hasNpmPackage":176,"smitheryVerified":176},false,{"hasCi":176,"hasTests":176},{"updatedAt":179},1778054618038,{"githubOwner":181,"githubRepo":182,"locale":23,"slug":182,"type":183},"alchaincyf","darwin-skill","skill",true,null,{"extract":187,"llm":190},{"commitSha":188,"license":189},"2056abfccd924d68ae6baa9193cafff0f666260b","MIT",{"promptVersionExtension":161,"promptVersionScoring":162,"score":164,"targetMarket":167,"tier":168},{"repoId":192},"kd70z4fsxmytc79g7hdj5m9m65864g4x",{"_creationTime":194,"_id":192,"identity":195,"providers":196,"workflow":207},1777995558409.8625,{"githubOwner":181,"githubRepo":182,"sourceUrl":13},{"discover":197,"github":200},{"sources":198},[199],"skills-sh",{"closedIssues90d":8,"forks":201,"openIssues90d":202,"pushedAt":203,"readmeSize":204,"stars":205,"topics":206},261,1,1776751692000,5391,2184,[],{"discoverAt":208,"extractAt":209,"githubAt":209,"updatedAt":209},1777995558409,1778054609664,{"anyEnrichmentAt":211,"extractAt":212,"githubAt":211,"llmAt":179,"updatedAt":179},1778054609200,1778054608897,[],[215,245,273,304,326,353],{"_creationTime":216,"_id":217,"community":218,"display":219,"identity":229,"providers":233,"relations":239,"workflow":241},1778053622473.6672,"k178b0dafhyecx3y6cbxkne8mh866zc4",{"reviewCount":8},{"description":220,"installMethods":221,"name":222,"sourceUrl":223,"tags":224},"Orchestrate multiple worker agents to implement groomed tasks. Use when multiple ready tasks need implementation, when you want autonomous multi-task execution, or when coordinating batch development work. Keywords: coordinator, orchestrator, multi-task, parallel, workers, batch, autonomous.",{},"Agile Coordinator","https://github.com/jwynia/agent-skills/tree/HEAD/skills/tech/development/workflow/agile-coordinator",[225,226,227,228,18,17],"agile","workflow","orchestration","developer-tools",{"githubOwner":230,"githubRepo":231,"locale":23,"slug":232,"type":183},"jwynia","agent-skills","agile-coordinator",{"extract":234,"llm":236},{"commitSha":235,"license":189},"e02ec7e226a6e4f8419fd3b88a1d8e472d421b32",{"promptVersionExtension":161,"promptVersionScoring":162,"score":237,"targetMarket":167,"tier":238},98,"verified",{"repoId":240},"kd7efn3mprpa8rd8vm5hw5ebzx864fph",{"anyEnrichmentAt":242,"extractAt":243,"githubAt":242,"llmAt":244,"updatedAt":244},1778053625386,1778053622473,1778054012696,{"_creationTime":246,"_id":247,"community":248,"display":249,"identity":258,"providers":262,"relations":267,"workflow":269},1778054741404.8755,"k17f34v6c7vmvgxab7k2xy2xrh8666t8",{"reviewCount":8},{"description":250,"installMethods":251,"name":252,"sourceUrl":253,"tags":254},"Expert code review of current git changes with a senior engineer lens. Detects SOLID violations, security risks, and proposes actionable improvements.",{},"Code Review Expert","https://github.com/sanyuan0704/sanyuan-skills/tree/HEAD/skills/code-review-expert",[255,18,256,257,19],"code-review","security","development",{"githubOwner":259,"githubRepo":260,"locale":23,"slug":261,"type":183},"sanyuan0704","sanyuan-skills","code-review-expert",{"extract":263,"llm":265},{"commitSha":264,"license":189},"807460aaa6e23313d9e16c397d100130691083a5",{"promptVersionExtension":161,"promptVersionScoring":162,"score":266,"targetMarket":167,"tier":238},95,{"repoId":268},"kd7ehbmfr6fxv4k4d6h65hev89864gmz",{"anyEnrichmentAt":270,"extractAt":271,"githubAt":270,"llmAt":272,"updatedAt":272},1778054741686,1778054741404,1778054758790,{"_creationTime":274,"_id":275,"community":276,"display":277,"identity":289,"providers":292,"relations":297,"workflow":300},1778054268187.7783,"k1799kwx7k8g1vx165qr4np3298670sw",{"reviewCount":8},{"description":278,"installMethods":279,"name":280,"sourceUrl":281,"tags":282},"Guide for using the Bright Data CLI (`brightdata` / `bdata`) to scrape websites, search the web, extract structured data from 40+ platforms, manage proxy zones, and check account budget. Use this skill whenever the user wants to scrape a URL, search Google/Bing/Yandex, extract data from Amazon/LinkedIn/Instagram/TikTok/YouTube/Reddit or any other platform, check their Bright Data balance or zones, or do anything involving web data collection from the terminal. Also trigger when the user mentions brightdata, bdata, web scraping CLI, SERP API, or wants to install Bright Data skills into their coding agent.",{},"Bright Data CLI","https://github.com/brightdata/skills/tree/HEAD/skills/brightdata-cli",[283,284,285,286,287,17,288],"brightdata","cli","web-scraping","data-extraction","serp-api","terminal",{"githubOwner":283,"githubRepo":290,"locale":23,"slug":291,"type":183},"skills","brightdata-cli",{"extract":293,"llm":295},{"commitSha":294,"license":189},"d0eeb1fbab809ffffe7c270186bd3eb78cf0c8ba",{"promptVersionExtension":161,"promptVersionScoring":162,"score":296,"targetMarket":167,"tier":238},99,{"parentExtensionId":298,"repoId":299},"k177secs2fy2665c3z8prspg0s867xd1","kd7e4q3ah25vmt87x67vanphhn864r9h",{"anyEnrichmentAt":301,"extractAt":302,"githubAt":301,"llmAt":303,"updatedAt":303},1778054269540,1778054268187,1778054318963,{"_creationTime":305,"_id":306,"community":307,"display":308,"identity":319,"providers":321,"relations":324,"workflow":325},1778053622473.6482,"k177qzhg585h8jr95mrhazbca9867398",{"reviewCount":8},{"description":309,"installMethods":310,"name":311,"sourceUrl":312,"tags":313},"Create and manipulate PowerPoint PPTX files programmatically. Use when the user needs to generate presentations, modify PPTX templates, extract slide content, create thumbnail previews, or automate PowerPoint workflows. Supports both template-based generation (for branding compliance) and from-scratch creation. Keywords: PowerPoint, PPTX, presentation, slides, template, deck, slideshow, corporate, branding.",{},"PPTX Generator","https://github.com/jwynia/agent-skills/tree/HEAD/skills/general/document-processing/presentation/pptx-generator",[314,315,316,317,17,318],"powerpoint","pptx","presentation","generator","document-processing",{"githubOwner":230,"githubRepo":231,"locale":23,"slug":320,"type":183},"pptx-generator",{"extract":322,"llm":323},{"commitSha":235,"license":189},{"promptVersionExtension":161,"promptVersionScoring":162,"score":296,"targetMarket":167,"tier":238},{"repoId":240},{"anyEnrichmentAt":242,"extractAt":243,"githubAt":242,"llmAt":244,"updatedAt":244},{"_creationTime":327,"_id":328,"community":329,"display":330,"identity":340,"providers":343,"relations":347,"workflow":349},1778054617416.4724,"k171wbhkefsa1s7m82mat9azn9867e51",{"reviewCount":8},{"description":331,"installMethods":332,"name":333,"sourceUrl":334,"tags":335},"自动捕获经验并安全进化的技能。触发条件：(1)命令/操作失败时→记ERRORS.md (2)被用户纠正('不对'/'应该是')时→记LEARNINGS.md (3)用户需要不存在的能力时→记FEATURE_REQUESTS.md (4)外部API/工具出错时→记ERRORS.md (5)发现自己知识过时/错误时→记LEARNINGS.md (6)发现更好做法时→记LEARNINGS.md (7)每个任务完成时→回顾过程，有新经验则记LEARNINGS.md。去重原则：如果没有新经验或已有条目已覆盖则跳过不写。每次写入同时在.learnings/CHANGELOG.md追加JSONL日志。经验反复出现≥3次时晋升到AGENTS.md/TOOLS.md/SOUL.md。详见正文。",{},"Proactive Self-Improving Agent","https://github.com/yanhongxi-openclaw/proactive-self-improving-agent",[16,336,337,338,339],"learning","self-improvement","logging","experience-capture",{"githubOwner":341,"githubRepo":342,"locale":23,"slug":342,"type":183},"yanhongxi-openclaw","proactive-self-improving-agent",{"extract":344,"llm":346},{"commitSha":345,"license":189},"5af957709186392fb9892382d0ffb26e8095ad65",{"promptVersionExtension":161,"promptVersionScoring":162,"score":237,"targetMarket":167,"tier":238},{"repoId":348},"kd78yyb7ypqjg4av4r3p0feyfd864sdm",{"anyEnrichmentAt":350,"extractAt":351,"githubAt":350,"llmAt":352,"updatedAt":352},1778054617695,1778054617416,1778054631760,{"_creationTime":354,"_id":355,"community":356,"display":357,"identity":368,"providers":372,"relations":376,"workflow":378},1778054432207.5422,"k178t7t7ek2kr53kqyz2tn8m4x867gmh",{"reviewCount":8},{"description":358,"installMethods":359,"name":360,"sourceUrl":361,"tags":362},"Manage OpenClaw bot configuration - channels, agents, security, and autopilot settings",{},"OpenClaw Config","https://github.com/adisinghstudent/easyclaw/tree/HEAD/skills/openclaw-config",[363,16,364,365,366,367],"openclaw","configuration","troubleshooting","typescript","devops",{"githubOwner":369,"githubRepo":370,"locale":23,"slug":371,"type":183},"adisinghstudent","easyclaw","openclaw-config",{"extract":373,"llm":375},{"commitSha":374,"license":189},"2a938af22323bcc822625828f6303cb75690e7c7",{"promptVersionExtension":161,"promptVersionScoring":162,"score":237,"targetMarket":167,"tier":238},{"repoId":377},"kd7fy171w716bjdays4yawdj91865292",{"anyEnrichmentAt":379,"extractAt":380,"githubAt":379,"llmAt":381,"updatedAt":381},1778054432549,1778054432207,1778054457102]