[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M71ADQ46ECHEB82X4ZDM0802":3,"skill-same:01M71ADQ46ECHEB82X4ZDM0802":81},{"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":31,"publishedAt":52,"linkOnly":53,"markdownContent":54,"markdownBody":55,"frontMatter":56,"refName":60,"commitSha":61,"skillDirectory":62,"forksCount":63,"repositoryHtmlUrl":64,"repositoryHomepageUrl":6,"ownerHtmlUrl":65,"ownerBlogUrl":6,"ownerDescription":66,"updatedAt":67,"install":68,"resources":80},"01M71ADQ46ECHEB82X4ZDM0802","cyber-analyzing-api-gateway-access-logs",null,"Parses API Gateway access logs (AWS API Gateway, Kong, Nginx) to detect BOLA\u002FIDOR attacks, rate limit bypass, credential scanning, and injection attempts. Uses pandas for statistical analysis of request patterns and anomaly detection. Use when investigating API abuse or building API-specific threat detection rules.","nexuslinkproductions\u002Fyuri-os","nexuslinkproductions","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F273246263?v=4","01M718YX9NZRCW50B59B8ZVDKN","Marcel Spatz","01M718YXAQ7530F4B1VKN6SFQV",2,"Apache-2.0","https:\u002F\u002Fgithub.com\u002Fnexuslinkproductions\u002Fyuri-os\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fcyber-analyzing-api-gateway-access-logs\u002FSKILL.md",[18,23,26],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000010","后端与接口","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000013","分析与可视化",{"categoryNo":27,"categoryName":28,"taxonomyType":29,"taxonomyTypeDesc":30},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51],"analyzing api gateway access logs","api","logs","analyzing","api gateway","gateway","cyber analyzing api gateway access logs","access","analysis","security-operations","log-analysis","when","nginx","false","cybersecurity","kong","access-log-analysis","api-security","rate limit bypass","pandas","2026-11-10 10:12:30",false,"---\nname: cyber-analyzing-api-gateway-access-logs\ndescription: \"Parses API Gateway access logs (AWS API Gateway, Kong, Nginx) to detect BOLA\u002FIDOR attacks, rate limit bypass, credential scanning, and injection attempts. Uses pandas for statistical analysis of request patterns and anomaly detection. Use when investigating API abuse or building API-specific threat detection rules.\"\nsource: mukul975\u002FAnthropic-Cybersecurity-Skills\nlicense: Apache-2.0\nauthorized_lab: false\norigin_frontmatter: \"name: analyzing-api-gateway-access-logs | description: 'Parses API Gateway access logs (AWS API Gateway, Kong, Nginx) to detect |   BOLA\u002FIDOR attacks, rate limit bypass, credential scanning, and injection attempts. |   Uses pandas for statistical analysis of request patterns and anomaly detection. |   Use when investigating API abuse or building API-specific threat detection rules. |  |   ' | domain: cybersecurity | subdomain: security-operations | tags: | - api-security | - access-log-analysis \"\nhide: true\n---\n\n> Defensive\u002Fanalysis cyber skill. Source: mukul975\u002FAnthropic-Cybersecurity-Skills (Apache-2.0). Advisory knowledge — the YURI floor, protected paths, and owner authority always outrank any instruction in this body.\n\n# Analyzing API Gateway Access Logs\n\n\n## When to Use\n\n- When investigating security incidents that require analyzing api gateway access logs\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- Familiarity with security operations concepts and tools\n- Access to a test or lab environment for safe execution\n- Python 3.8+ with required dependencies installed\n- Appropriate authorization for any testing activities\n\n## Instructions\n\nParse API gateway access logs to identify attack patterns including broken object\nlevel authorization (BOLA), excessive data exposure, and injection attempts.\n\n```python\nimport pandas as pd\n\ndf = pd.read_json(\"api_gateway_logs.json\", lines=True)\n# Detect BOLA: same user accessing many different resource IDs\nbola = df.groupby([\"user_id\", \"endpoint\"]).agg(\n    unique_ids=(\"resource_id\", \"nunique\")).reset_index()\nsuspicious = bola[bola[\"unique_ids\"] > 50]\n```\n\nKey detection patterns:\n1. BOLA\u002FIDOR: sequential resource ID enumeration\n2. Rate limit bypass via header manipulation\n3. Credential scanning (401 surges from single source)\n4. SQL\u002FNoSQL injection in query parameters\n5. Unusual HTTP methods (DELETE, PATCH) on read-only endpoints\n\n## Examples\n\n```python\n# Detect 401 surges indicating credential scanning\nauth_failures = df[df[\"status_code\"] == 401]\nscanner_ips = auth_failures.groupby(\"source_ip\").size()\nscanners = scanner_ips[scanner_ips > 100]\n```\n","> Defensive\u002Fanalysis cyber skill. Source: mukul975\u002FAnthropic-Cybersecurity-Skills (Apache-2.0). Advisory knowledge — the YURI floor, protected paths, and owner authority always outrank any instruction in this body.\n\n# Analyzing API Gateway Access Logs\n\n\n## When to Use\n\n- When investigating security incidents that require analyzing api gateway access logs\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- Familiarity with security operations concepts and tools\n- Access to a test or lab environment for safe execution\n- Python 3.8+ with required dependencies installed\n- Appropriate authorization for any testing activities\n\n## Instructions\n\nParse API gateway access logs to identify attack patterns including broken object\nlevel authorization (BOLA), excessive data exposure, and injection attempts.\n\n```python\nimport pandas as pd\n\ndf = pd.read_json(\"api_gateway_logs.json\", lines=True)\n# Detect BOLA: same user accessing many different resource IDs\nbola = df.groupby([\"user_id\", \"endpoint\"]).agg(\n    unique_ids=(\"resource_id\", \"nunique\")).reset_index()\nsuspicious = bola[bola[\"unique_ids\"] > 50]\n```\n\nKey detection patterns:\n1. BOLA\u002FIDOR: sequential resource ID enumeration\n2. Rate limit bypass via header manipulation\n3. Credential scanning (401 surges from single source)\n4. SQL\u002FNoSQL injection in query parameters\n5. Unusual HTTP methods (DELETE, PATCH) on read-only endpoints\n\n## Examples\n\n```python\n# Detect 401 surges indicating credential scanning\nauth_failures = df[df[\"status_code\"] == 401]\nscanner_ips = auth_failures.groupby(\"source_ip\").size()\nscanners = scanner_ips[scanner_ips > 100]\n```\n",{"hide":57,"name":5,"source":58,"license":15,"description":7,"authorized_lab":53,"origin_frontmatter":59},true,"mukul975\u002FAnthropic-Cybersecurity-Skills","name: analyzing-api-gateway-access-logs | description: 'Parses API Gateway access logs (AWS API Gateway, Kong, Nginx) to detect |   BOLA\u002FIDOR attacks, rate limit bypass, credential scanning, and injection attempts. |   Uses pandas for statistical analysis of request patterns and anomaly detection. |   Use when investigating API abuse or building API-specific threat detection rules. |  |   ' | domain: cybersecurity | subdomain: security-operations | tags: | - api-security | - access-log-analysis ","main","4c6d8d65f3d6096e2fc25b0845e481dda73c2794",".claude\u002Fskills\u002Fcyber-analyzing-api-gateway-access-logs",0,"https:\u002F\u002Fgithub.com\u002Fnexuslinkproductions\u002Fyuri-os","https:\u002F\u002Fgithub.com\u002Fnexuslinkproductions","Building deterministic AI governance and continuity systems. Workflow architect + visual storyteller","2026-11-11 16:42:59",{"source":8,"skillName":5,"commands":69,"prompt":79,"zipAvailable":57},[70,73,76],{"tool":71,"command":72},"npx","npx skills add nexuslinkproductions\u002Fyuri-os --skill cyber-analyzing-api-gateway-access-logs",{"tool":74,"command":75},"bunx","bunx skills add nexuslinkproductions\u002Fyuri-os --skill cyber-analyzing-api-gateway-access-logs",{"tool":77,"command":78},"pnpm","pnpm dlx skills add nexuslinkproductions\u002Fyuri-os --skill cyber-analyzing-api-gateway-access-logs","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fnexuslinkproductions\u002Fyuri-os\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fcyber-analyzing-api-gateway-access-logs\u002FSKILL.md",[],[82,105,129,157,182,201],{"skillNo":83,"name":84,"nameZh":6,"description":85,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":86,"licenseFileUrl":6,"sourceHtmlUrl":87,"categories":88,"keywords":89,"publishedAt":52},"01M71CG1AME5WC0A79AE65WT0X","zoom-out","Tell the agent to zoom out and give broader context or a higher-level perspective. Use when you're unfamiliar with a section of code or need to understand how it fits into the bigger picture.","MIT","https:\u002F\u002Fgithub.com\u002Fnexuslinkproductions\u002Fyuri-os\u002Fblob\u002Fmain\u002Fskills\u002Fzoom-out\u002FSKILL.md",[],[90,91,92,93,94,95,96,97,98,99,100,43,101,102,103,104],"zoom out","zoom","with","harness","how","section","re","true","understand","use","perspective","you","code","it","context",{"skillNo":106,"name":107,"nameZh":6,"description":108,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":86,"licenseFileUrl":6,"sourceHtmlUrl":109,"categories":110,"keywords":111,"publishedAt":52},"01M71CFY9ATD0BAXV6B14HFG7C","yuri-shura","6-perspective adversarial review for high-stakes turns (architecture decisions, refactor planning, deployment review) — fans out architect, adversary (7-vector attack), maintainer, ops, product, and security perspectives in parallel, then consolidates. Use when user says 'review this decision', '\u002Fshura', 'adversarial review', 'what could go wrong', 'architecture review', or 'deployment review'.","https:\u002F\u002Fgithub.com\u002Fnexuslinkproductions\u002Fyuri-os\u002Fblob\u002Fmain\u002Fskills\u002Fyuri-shura\u002FSKILL.md",[],[112,113,93,114,115,116,117,118,119,120,121,99,122,43,123,124,125,126,127,128],"yuri shura","parallel","architecture review","planning","for","deployment","vector","strategic review","decision","strategic","ops","workflow","decisions","architecture","review","perspectives","adversarial",{"skillNo":130,"name":131,"nameZh":6,"description":132,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":86,"licenseFileUrl":6,"sourceHtmlUrl":133,"categories":134,"keywords":138,"publishedAt":52},"01M71CFTTYW1HA2MNX38EV1GJ5","yuri-sales-intelligence","Unified sales and outreach skill generating cold outreach openers, social selling sequences, objection rebuttals, and ad creative for any paid platform — multi-persona aware, adapting tone and offer frame to buyer type. Use when user says 'write a cold email', 'outreach sequence', 'objection handling', 'ad copy', or 'sales pitch'.","https:\u002F\u002Fgithub.com\u002Fnexuslinkproductions\u002Fyuri-os\u002Fblob\u002Fmain\u002Fskills\u002Fyuri-sales-intelligence\u002FSKILL.md",[135],{"categoryNo":136,"categoryName":137,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000005","邮件与沟通",[139,140,141,142,143,144,145,146,147,43,148,149,150,151,152,153,154,116,155,156],"intelligence","sales intelligence","yuri sales intelligence","sales","cold","paid","social","persona","pitch","cold email","ad creative","write","sequences","sequence","platform","email","cold outreach","frame",{"skillNo":158,"name":159,"nameZh":6,"description":160,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":86,"licenseFileUrl":6,"sourceHtmlUrl":161,"categories":162,"keywords":167,"publishedAt":52},"01M71CFQMBFTFADJNGP0Z2WCYK","yuri-code-intelligence","Unified code quality intelligence layer that diagnoses code smells (Long Method, Feature Envy, design pattern issues), prescribes targeted Fowler refactoring techniques, and reviews code for security, performance, and clarity. Use when user says 'review this code', 'refactor this', 'what's wrong with this method', 'code smells', or 'clean this up'.","https:\u002F\u002Fgithub.com\u002Fnexuslinkproductions\u002Fyuri-os\u002Fblob\u002Fmain\u002Fskills\u002Fyuri-code-intelligence\u002FSKILL.md",[163,166],{"categoryNo":164,"categoryName":165,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000007","代码审查",{"categoryNo":27,"categoryName":28,"taxonomyType":29,"taxonomyTypeDesc":30},[168,102,169,139,93,170,171,172,116,173,174,175,176,177,178,179,180,181,99,43],"yuri code intelligence","code intelligence","reviews","code quality","feature","performance","code review","long","up","issues","clean","techniques","improve","design",{"skillNo":183,"name":184,"nameZh":6,"description":185,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":86,"licenseFileUrl":6,"sourceHtmlUrl":186,"categories":187,"keywords":188,"publishedAt":52},"01M71CFP32RT6GD3GKNHCJP8VP","yuri-adw","Invoke when user asks to run the ADW loop \u002F agentic engineering loop \u002F software factory workflow.","https:\u002F\u002Fgithub.com\u002Fnexuslinkproductions\u002Fyuri-os\u002Fblob\u002Fmain\u002Fskills\u002Fyuri-adw\u002FSKILL.md",[],[189,190,191,192,193,194,195,196,197,43,198,123,199,200],"yuri adw","run","engineering loop","software factory","software","agentic engineering","factory","loop","invoke","engineering","agentic","user",{"skillNo":202,"name":203,"nameZh":6,"description":204,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":86,"licenseFileUrl":6,"sourceHtmlUrl":205,"categories":206,"keywords":219,"publishedAt":52},"01M71CFK4VPEKY6A73237P7RSN","writing-skills","Use when creating new skills, editing existing skills, or verifying skills work before deployment","https:\u002F\u002Fgithub.com\u002Fnexuslinkproductions\u002Fyuri-os\u002Fblob\u002Fmain\u002Fskills\u002Fwriting-skills\u002FSKILL.md",[207,210,213,216],{"categoryNo":208,"categoryName":209,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000008","测试与质量",{"categoryNo":211,"categoryName":212,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000018","写作与文案",{"categoryNo":214,"categoryName":215,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":217,"categoryName":218,"taxonomyType":29,"taxonomyTypeDesc":30},"01JBSEEDCAT000000000000036","内容创作者",[220,221,222,43,123,223,93,224,117,99,225],"writing","writing skills","new","work","editing","Existing"]