[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6ETRHW5FCKBXYF332YXSEMB":3,"skill-same:01M6ETRHW5FCKBXYF332YXSEMB":96},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":23,"publishedAt":44,"linkOnly":45,"markdownContent":46,"markdownBody":47,"frontMatter":48,"refName":57,"commitSha":58,"skillDirectory":59,"forksCount":60,"repositoryHtmlUrl":61,"repositoryHomepageUrl":6,"ownerHtmlUrl":62,"ownerBlogUrl":6,"ownerDescription":63,"updatedAt":64,"install":65,"resources":78},"01M6ETRHW5FCKBXYF332YXSEMB","detecting-shadow-it-cloud-usage",null,"Detect unauthorized SaaS and cloud service usage (shadow IT) by analyzing proxy logs, DNS query logs, and netflow data using Python pandas for traffic pattern analysis and domain classification.","luokai0\u002Fai-agent-skills-by-luo-kai","luokai0","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F266954973?v=4","01M6E16VNT42JB8B3X3254QWJ7","luo kai","01M6E16VTFVP6S5XJF1V1MPV90",14,"Apache-2.0","https:\u002F\u002Fgithub.com\u002Fluokai0\u002Fai-agent-skills-by-luo-kai\u002Fblob\u002Fmain\u002Fai-agent-skills\u002F21-external-registries\u002F08-pinkpixel-collection\u002Fdetecting-shadow-it-cloud-usage\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000013","分析与可视化","SCENARIO","使用场景",[24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43],"detecting","it","cloud","detecting shadow it cloud usage","Shadow","analysis","detect","dns query","domain","query","discovery","classification","python","saas","netflow","dns","logs","proxy","pandas","cybersecurity","2026-11-10 10:12:30",false,"---\nname: detecting-shadow-it-cloud-usage\ndescription: Detect unauthorized SaaS and cloud service usage (shadow IT) by analyzing proxy logs, DNS query logs, and netflow data using Python pandas for traffic pattern analysis and domain classification.\ndomain: cybersecurity\nsubdomain: cloud-security\ntags: [shadow-IT, SaaS-discovery, proxy-logs, DNS-analysis, netflow, cloud-security, pandas]\nversion: \"1.0\"\nauthor: mahipal\nlicense: Apache-2.0\n---\n\n# Detecting Shadow IT Cloud Usage\n\n## Overview\n\nShadow IT refers to unauthorized SaaS applications and cloud services used without IT approval. This skill analyzes proxy logs, DNS query logs, and firewall\u002Fnetflow data to identify unauthorized cloud service usage, classify discovered domains against known SaaS categories, measure data transfer volumes, and flag high-risk services based on security posture and compliance requirements.\n\n\n## When to Use\n\n- When investigating security incidents that require detecting shadow it cloud usage\n- When building detection rules or threat hunting queries for this domain\n- When SOC analysts need structured procedures for this analysis type\n- When validating security monitoring coverage for related attack techniques\n\n## Prerequisites\n\n- Python 3.9+ with `pandas`, `tldextract`\n- Proxy logs (Squid, Zscaler, or Palo Alto format) or DNS query logs\n- SaaS application catalog\u002Fblocklist for classification\n- Network firewall logs with FQDN resolution (optional)\n\n## Steps\n\n1. Parse proxy access logs and extract destination domains with traffic volumes\n2. Parse DNS query logs to identify resolved cloud service domains\n3. Aggregate traffic by domain using pandas — total bytes, request counts, unique users\n4. Classify domains against known SaaS categories (storage, email, dev tools, AI)\n5. Flag unauthorized services not on the approved application list\n6. Calculate risk scores based on data volume, user count, and service category\n7. Generate shadow IT discovery report with remediation recommendations\n\n## Expected Output\n\n- JSON report listing discovered cloud services with traffic volumes, user counts, risk scores, and approval status\n- Top unauthorized services ranked by data exfiltration risk\n","# Detecting Shadow IT Cloud Usage\n\n## Overview\n\nShadow IT refers to unauthorized SaaS applications and cloud services used without IT approval. This skill analyzes proxy logs, DNS query logs, and firewall\u002Fnetflow data to identify unauthorized cloud service usage, classify discovered domains against known SaaS categories, measure data transfer volumes, and flag high-risk services based on security posture and compliance requirements.\n\n\n## When to Use\n\n- When investigating security incidents that require detecting shadow it cloud usage\n- When building detection rules or threat hunting queries for this domain\n- When SOC analysts need structured procedures for this analysis type\n- When validating security monitoring coverage for related attack techniques\n\n## Prerequisites\n\n- Python 3.9+ with `pandas`, `tldextract`\n- Proxy logs (Squid, Zscaler, or Palo Alto format) or DNS query logs\n- SaaS application catalog\u002Fblocklist for classification\n- Network firewall logs with FQDN resolution (optional)\n\n## Steps\n\n1. Parse proxy access logs and extract destination domains with traffic volumes\n2. Parse DNS query logs to identify resolved cloud service domains\n3. Aggregate traffic by domain using pandas — total bytes, request counts, unique users\n4. Classify domains against known SaaS categories (storage, email, dev tools, AI)\n5. Flag unauthorized services not on the approved application list\n6. Calculate risk scores based on data volume, user count, and service category\n7. Generate shadow IT discovery report with remediation recommendations\n\n## Expected Output\n\n- JSON report listing discovered cloud services with traffic volumes, user counts, risk scores, and approval status\n- Top unauthorized services ranked by data exfiltration risk\n",{"name":5,"tags":49,"author":55,"domain":43,"license":15,"version":56,"subdomain":54,"description":7},[50,51,52,53,38,54,42],"shadow-IT","SaaS-discovery","proxy-logs","DNS-analysis","cloud-security","mahipal","1.0","main","4d2fb89cdfb75f3f6fd3c6c5ec9ad90ea129eb3c","ai-agent-skills\u002F21-external-registries\u002F08-pinkpixel-collection\u002Fdetecting-shadow-it-cloud-usage",1,"https:\u002F\u002Fgithub.com\u002Fluokai0\u002Fai-agent-skills-by-luo-kai","https:\u002F\u002Fgithub.com\u002Fluokai0","a solo builder.","2026-05-06 04:29:04",{"source":8,"skillName":5,"commands":66,"prompt":76,"zipAvailable":77},[67,70,73],{"tool":68,"command":69},"npx","npx skills add luokai0\u002Fai-agent-skills-by-luo-kai --skill detecting-shadow-it-cloud-usage",{"tool":71,"command":72},"bunx","bunx skills add luokai0\u002Fai-agent-skills-by-luo-kai --skill detecting-shadow-it-cloud-usage",{"tool":74,"command":75},"pnpm","pnpm dlx skills add luokai0\u002Fai-agent-skills-by-luo-kai --skill detecting-shadow-it-cloud-usage","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fluokai0\u002Fai-agent-skills-by-luo-kai\u002Fblob\u002Fmain\u002Fai-agent-skills\u002F21-external-registries\u002F08-pinkpixel-collection\u002Fdetecting-shadow-it-cloud-usage\u002FSKILL.md",true,[79,84,90],{"path":80,"resourceType":80,"resourceTypeDesc":81,"sizeBytes":82,"sourceHtmlUrl":83},"LICENSE","许可证",11255,"https:\u002F\u002Fgithub.com\u002Fluokai0\u002Fai-agent-skills-by-luo-kai\u002Fblob\u002Fmain\u002Fai-agent-skills\u002F21-external-registries\u002F08-pinkpixel-collection\u002Fdetecting-shadow-it-cloud-usage\u002FLICENSE",{"path":85,"resourceType":86,"resourceTypeDesc":87,"sizeBytes":88,"sourceHtmlUrl":89},"references\u002Fapi-reference.md","REFERENCE","参考文档",2399,"https:\u002F\u002Fgithub.com\u002Fluokai0\u002Fai-agent-skills-by-luo-kai\u002Fblob\u002Fmain\u002Fai-agent-skills\u002F21-external-registries\u002F08-pinkpixel-collection\u002Fdetecting-shadow-it-cloud-usage\u002Freferences\u002Fapi-reference.md",{"path":91,"resourceType":92,"resourceTypeDesc":93,"sizeBytes":94,"sourceHtmlUrl":95},"scripts\u002Fagent.py","SCRIPT","脚本",11060,"https:\u002F\u002Fgithub.com\u002Fluokai0\u002Fai-agent-skills-by-luo-kai\u002Fblob\u002Fmain\u002Fai-agent-skills\u002F21-external-registries\u002F08-pinkpixel-collection\u002Fdetecting-shadow-it-cloud-usage\u002Fscripts\u002Fagent.py",[97,125,142,169,202,239],{"skillNo":98,"name":99,"nameZh":6,"description":100,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":101,"licenseFileUrl":6,"sourceHtmlUrl":102,"categories":103,"keywords":104,"publishedAt":44},"01M6F2SKTE208174C7S7JJCZC7","write-contracts","Generates secure Aptos Move V2 smart contracts with Object model, Digital Asset integration, security patterns, and storage type guidance. Includes comprehensive storage decision framework for optimal data structure selection. Triggers on: 'write contract', 'create NFT collection', 'build marketplace', 'implement minting', 'generate Move module', 'create token contract', 'build DAO', 'implement staking'. Ask storage questions when: 'store', 'track', 'registry', 'mapping', 'list', 'collection'.","MIT","https:\u002F\u002Fgithub.com\u002Fluokai0\u002Fai-agent-skills-by-luo-kai\u002Fblob\u002Fmain\u002Fai-agent-skills\u002F22-clawhub-skills\u002Fwrite-contracts\u002FSKILL.md",[],[105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124],"write","contracts","write contracts","storage","secure","create","generate","collection","model","decision","ask","smart-contracts","selection","objects","structure","nft","token","aptos","critical","move",{"skillNo":126,"name":127,"nameZh":6,"description":128,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":101,"licenseFileUrl":6,"sourceHtmlUrl":129,"categories":130,"keywords":131,"publishedAt":44},"01M6F2RFXJ6T9MKW0A7N7GM45B","web-search","通用网络搜索技能，支持多引擎搜索（百度、必应、DuckDuckGo），无需API密钥即可获取实时信息","https:\u002F\u002Fgithub.com\u002Fluokai0\u002Fai-agent-skills-by-luo-kai\u002Fblob\u002Fmain\u002Fai-agent-skills\u002F22-clawhub-skills\u002Fweb-search-ex-skill\u002FSKILL.md",[],[132,133,134,135,136,137,138,139,140,141],"web","search","web search","搜索","baidu","bing","duckduckgo","百度","多引擎","internet",{"skillNo":143,"name":144,"nameZh":6,"description":145,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":101,"licenseFileUrl":6,"sourceHtmlUrl":146,"categories":147,"keywords":151,"publishedAt":44},"01M6F2K968G1FZEZFPW2E6B222","solo-build","Execute implementation plan tasks with TDD workflow, auto-commit, and phase gates. Use when user says \"build it\", \"start building\", \"execute plan\", \"implement tasks\", \"ship it\", or references a track ID. Do NOT use for planning (use \u002Fplan) or scaffolding (use \u002Fscaffold).","https:\u002F\u002Fgithub.com\u002Fluokai0\u002Fai-agent-skills-by-luo-kai\u002Fblob\u002Fmain\u002Fai-agent-skills\u002F22-clawhub-skills\u002Fsolo-build\u002FSKILL.md",[148],{"categoryNo":149,"categoryName":150,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",[152,153,154,155,156,157,158,159,133,160,161,162,105,163,164,165,33,166,167,168],"build","solo","solo build","MCP","workflow","commit","tasks","code","Bash","plan","read","auto","references","context7","scaffolding","ship it","project",{"skillNo":170,"name":171,"nameZh":6,"description":172,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":101,"licenseFileUrl":6,"sourceHtmlUrl":173,"categories":174,"keywords":181,"publishedAt":44},"01M6F2GKN39SGHSPWYB3662YC8","react-email","Use when building HTML email templates with React components, adding a visual email editor to an application using the React Email visual editor, rendering emails to HTML, or sending emails with Resend. Covers welcome emails, password resets, notifications, order confirmations, newsletters, transactional emails, and the embeddable email editor component.","https:\u002F\u002Fgithub.com\u002Fluokai0\u002Fai-agent-skills-by-luo-kai\u002Fblob\u002Fmain\u002Fai-agent-skills\u002F22-clawhub-skills\u002Freact-email-skills\u002FSKILL.md",[175,178],{"categoryNo":176,"categoryName":177,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000005","邮件与沟通",{"categoryNo":179,"categoryName":180,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000009","前端开发",[182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199,200,201],"react","email","react email","github","editor","components","react components","component","welcome","https","notifications","password","node","use","html","resend","visual","emails","rendering","with",{"skillNo":203,"name":204,"nameZh":6,"description":205,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":101,"licenseFileUrl":6,"sourceHtmlUrl":206,"categories":207,"keywords":220,"publishedAt":44},"01M6F2FBVGVDFSG8SSFJGXA40C","APITester Agent-Driven API Testing","Test API endpoints and document responses. 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Agent-driven Postman alternative.","https:\u002F\u002Fgithub.com\u002Fluokai0\u002Fai-agent-skills-by-luo-kai\u002Fblob\u002Fmain\u002Fai-agent-skills\u002F22-clawhub-skills\u002Fopenclaw-api-tester\u002FSKILL.md",[208,211,214,215],{"categoryNo":209,"categoryName":210,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000008","测试与质量",{"categoryNo":212,"categoryName":213,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000010","后端与接口",{"categoryNo":149,"categoryName":150,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":216,"categoryName":217,"taxonomyType":218,"taxonomyTypeDesc":219},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[221,222,223,224,225,226,227,228,229,230,231,232,233,234,235,236,237,238],"testing","api","api testing","driven","APITester Agent Driven API Testing","test","run","postman","results","plain english","tester","endpoints","document","get","define","tests","english","api-tester",{"skillNo":240,"name":241,"nameZh":6,"description":242,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":101,"licenseFileUrl":6,"sourceHtmlUrl":243,"categories":244,"keywords":245,"publishedAt":44},"01M6F273Y3NGAPVJZ608BC0G9G","hubspot-implementation-plan","Generate a phased implementation plan from a HubSpot audit report. Creates prioritized, sequenced cleanup processes with effort estimates, dependencies, and automation feasibility. Use after running \u002Fhubspot-audit.","https:\u002F\u002Fgithub.com\u002Fluokai0\u002Fai-agent-skills-by-luo-kai\u002Fblob\u002Fmain\u002Fai-agent-skills\u002F22-clawhub-skills\u002Fhubspot-implementation-plan\u002FSKILL.md",[],[161,246,247,248,249,250,251,111,252,253,254,255,256,195,257,258,201,259],"implementation","hubspot","hubspot implementation plan","automation","feasibility","cleanup","planning","report","audit","audit report","phased implementation","dependencies","processes","hubspot audit"]