[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6FV3VN2C00MEPC10QY17WDQ":3,"skill-same:01M6FV3VN2C00MEPC10QY17WDQ":73},{"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":43,"linkOnly":44,"markdownContent":45,"markdownBody":46,"frontMatter":47,"refName":51,"commitSha":52,"skillDirectory":53,"forksCount":14,"repositoryHtmlUrl":54,"repositoryHomepageUrl":6,"ownerHtmlUrl":55,"ownerBlogUrl":56,"ownerDescription":57,"updatedAt":58,"install":59,"resources":72},"01M6FV3VN2C00MEPC10QY17WDQ","Apify Automation",null,"Automate web scraping and data extraction with Apify -- run Actors, manage datasets, create reusable tasks, and retrieve crawl results through the Composio Apify integration.","reikiplanet\u002Fdaoskills","reikiplanet","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F96377599?v=4","01M6CVWCMD740YHQDK7E9QYBW4","Reiki Planet","01M6CVWCS4KXVA2CWFVJ43EAXK",0,"MIT","https:\u002F\u002Fgithub.com\u002Freikiplanet\u002Fdaoskills\u002Fblob\u002Fmaster\u002Fdevelopment\u002Fcomposio-apify-automation\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[24,5,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42],"apify","automation","scraping","with","Data Extraction","composio","crawl","manage","reusable","datasets","results","web scraping","automate","data","integration","run","create","tasks","web","2026-11-10 10:12:30",false,"---\nname: Apify Automation\ndescription: \"Automate web scraping and data extraction with Apify -- run Actors, manage datasets, create reusable tasks, and retrieve crawl results through the Composio Apify integration.\"\nrequires:\n  mcp:\n    - rube\n---\n\n# Apify Automation\n\nRun **Apify** web scraping Actors and manage datasets directly from Claude Code. Execute crawlers synchronously or asynchronously, retrieve structured data, create reusable tasks, and inspect run logs without leaving your terminal.\n\n**Toolkit docs:** [composio.dev\u002Ftoolkits\u002Fapify](https:\u002F\u002Fcomposio.dev\u002Ftoolkits\u002Fapify)\n\n---\n\n## Setup\n\n1. Add the Composio MCP server to your configuration:\n   ```\n   https:\u002F\u002Frube.app\u002Fmcp\n   ```\n2. Connect your Apify account when prompted. The agent will provide an authentication link.\n3. Browse available Actors at [apify.com\u002Fstore](https:\u002F\u002Fapify.com\u002Fstore). Each Actor has its own unique input schema -- always check the Actor's documentation before running.\n\n---\n\n## Core Workflows\n\n### 1. Run an Actor Synchronously and Get Results\n\nExecute an Actor and immediately retrieve its dataset items in a single call. Best for quick scraping jobs.\n\n**Tool:** `APIFY_RUN_ACTOR_SYNC_GET_DATASET_ITEMS`\n\nKey parameters:\n- `actorId` (required) -- Actor ID in format `username\u002Factor-name` (e.g., `compass\u002Fcrawler-google-places`)\n- `input` -- JSON input object matching the Actor's schema. Each Actor has unique field names -- check [apify.com\u002Fstore](https:\u002F\u002Fapify.com\u002Fstore) for the exact schema.\n- `limit` -- max items to return\n- `offset` -- skip items for pagination\n- `format` -- `json` (default), `csv`, `jsonl`, `html`, `xlsx`, `xml`\n- `timeout` -- run timeout in seconds\n- `waitForFinish` -- max wait time (0-300 seconds)\n- `fields` -- comma-separated list of fields to include\n- `omit` -- comma-separated list of fields to exclude\n\nExample prompt: *\"Run the Google Places scraper for 'restaurants in New York' and return the first 50 results\"*\n\n---\n\n### 2. Run an Actor Asynchronously\n\nTrigger an Actor run without waiting for completion. Use for long-running scraping jobs.\n\n**Tool:** `APIFY_RUN_ACTOR`\n\nKey parameters:\n- `actorId` (required) -- Actor slug or ID\n- `body` -- JSON input object for the Actor\n- `memory` -- memory limit in MB (must be power of 2, minimum 128)\n- `timeout` -- run timeout in seconds\n- `maxItems` -- cap on returned items\n- `build` -- specific build tag (e.g., `latest`, `beta`)\n\nFollow up with `APIFY_GET_DATASET_ITEMS` to retrieve results using the run's `datasetId`.\n\nExample prompt: *\"Start the web scraper Actor for example.com asynchronously with 1024MB memory\"*\n\n---\n\n### 3. Retrieve Dataset Items\n\nFetch data from a specific dataset with pagination, field selection, and filtering.\n\n**Tool:** `APIFY_GET_DATASET_ITEMS`\n\nKey parameters:\n- `datasetId` (required) -- dataset identifier\n- `limit` (default\u002Fmax 1000) -- items per page\n- `offset` (default 0) -- pagination offset\n- `format` -- `json` (recommended), `csv`, `xlsx`\n- `fields` -- include only specific fields\n- `omit` -- exclude specific fields\n- `clean` -- remove Apify-specific metadata\n- `desc` -- reverse order (newest first)\n\nExample prompt: *\"Get the first 500 items from dataset myDatasetId in JSON format\"*\n\n---\n\n### 4. Inspect Actor Details\n\nView Actor metadata, input schema, and configuration before running it.\n\n**Tool:** `APIFY_GET_ACTOR`\n\nKey parameters:\n- `actorId` (required) -- Actor ID in format `username\u002Factor-name` or hex ID\n\nExample prompt: *\"Show me the details and input schema for the apify\u002Fweb-scraper Actor\"*\n\n---\n\n### 5. Create Reusable Tasks\n\nConfigure reusable Actor tasks with preset inputs for recurring scraping jobs.\n\n**Tool:** `APIFY_CREATE_TASK`\n\nConfigure a task once, then trigger it repeatedly with consistent input parameters. Useful for scheduled or recurring data collection workflows.\n\nExample prompt: *\"Create an Apify task for the Google Search scraper with default query 'AI startups' and US location\"*\n\n---\n\n### 6. Manage Runs and Datasets\n\nList Actor runs, browse datasets, and inspect run details for monitoring and debugging.\n\n**Tools:** `APIFY_GET_LIST_OF_RUNS`, `APIFY_DATASETS_GET`, `APIFY_DATASET_GET`, `APIFY_GET_LOG`\n\nFor listing runs:\n- Filter by Actor and optionally by status\n- Get `datasetId` from run details for data retrieval\n\nFor dataset management:\n- `APIFY_DATASETS_GET` -- list all your datasets with pagination\n- `APIFY_DATASET_GET` -- get metadata for a specific dataset\n\nFor debugging:\n- `APIFY_GET_LOG` -- retrieve execution logs for a run or build\n\nExample prompt: *\"List the last 10 runs for the web scraper Actor and show logs for the most recent one\"*\n\n---\n\n## Known Pitfalls\n\n- **Actor input schemas vary wildly:** Every Actor has its own unique input fields. Generic field names like `queries` or `search_terms` will be rejected. Always check the Actor's page on [apify.com\u002Fstore](https:\u002F\u002Fapify.com\u002Fstore) for exact field names (e.g., `searchStringsArray` for Google Maps, `startUrls` for web scrapers).\n- **URL format requirements:** Always include the full protocol (`https:\u002F\u002F` or `http:\u002F\u002F`) in URLs. Many Actors require URLs as objects with a `url` property: `{\"startUrls\": [{\"url\": \"https:\u002F\u002Fexample.com\"}]}`.\n- **Dataset pagination cap:** `APIFY_GET_DATASET_ITEMS` has a max `limit` of 1000 per call. For large datasets, loop with `offset` to collect all items.\n- **Enum values are lowercase:** Most Actors expect lowercase enum values (e.g., `relevance` not `RELEVANCE`, `all` not `ALL`).\n- **Sync timeout at 5 minutes:** `APIFY_RUN_ACTOR_SYNC_GET_DATASET_ITEMS` has a maximum `waitForFinish` of 300 seconds. For longer runs, use `APIFY_RUN_ACTOR` (async) and poll with `APIFY_GET_DATASET_ITEMS`.\n- **Data volume costs:** Large datasets can be expensive to fetch. Prefer moderate limits and incremental processing to avoid timeouts or memory pressure.\n- **JSON format recommended:** While CSV\u002FXLSX formats are available, JSON is the most reliable for automated processing. Avoid CSV\u002FXLSX for downstream automation.\n\n---\n\n## Quick Reference\n\n| Tool Slug | Description |\n|---|---|\n| `APIFY_RUN_ACTOR_SYNC_GET_DATASET_ITEMS` | Run Actor synchronously and get results immediately |\n| `APIFY_RUN_ACTOR` | Run Actor asynchronously (trigger and return) |\n| `APIFY_RUN_ACTOR_SYNC` | Run Actor synchronously, return output record |\n| `APIFY_GET_ACTOR` | Get Actor metadata and input schema |\n| `APIFY_GET_DATASET_ITEMS` | Retrieve items from a dataset (paginated) |\n| `APIFY_DATASET_GET` | Get dataset metadata (item count, etc.) |\n| `APIFY_DATASETS_GET` | List all user datasets |\n| `APIFY_CREATE_TASK` | Create a reusable Actor task |\n| `APIFY_GET_TASK_INPUT` | Inspect a task's stored input |\n| `APIFY_GET_LIST_OF_RUNS` | List runs for an Actor |\n| `APIFY_GET_LOG` | Get execution logs for a run |\n\n---\n\n*Powered by [Composio](https:\u002F\u002Fcomposio.dev)*\n","# Apify Automation\n\nRun **Apify** web scraping Actors and manage datasets directly from Claude Code. Execute crawlers synchronously or asynchronously, retrieve structured data, create reusable tasks, and inspect run logs without leaving your terminal.\n\n**Toolkit docs:** [composio.dev\u002Ftoolkits\u002Fapify](https:\u002F\u002Fcomposio.dev\u002Ftoolkits\u002Fapify)\n\n---\n\n## Setup\n\n1. Add the Composio MCP server to your configuration:\n   ```\n   https:\u002F\u002Frube.app\u002Fmcp\n   ```\n2. Connect your Apify account when prompted. The agent will provide an authentication link.\n3. Browse available Actors at [apify.com\u002Fstore](https:\u002F\u002Fapify.com\u002Fstore). Each Actor has its own unique input schema -- always check the Actor's documentation before running.\n\n---\n\n## Core Workflows\n\n### 1. Run an Actor Synchronously and Get Results\n\nExecute an Actor and immediately retrieve its dataset items in a single call. Best for quick scraping jobs.\n\n**Tool:** `APIFY_RUN_ACTOR_SYNC_GET_DATASET_ITEMS`\n\nKey parameters:\n- `actorId` (required) -- Actor ID in format `username\u002Factor-name` (e.g., `compass\u002Fcrawler-google-places`)\n- `input` -- JSON input object matching the Actor's schema. Each Actor has unique field names -- check [apify.com\u002Fstore](https:\u002F\u002Fapify.com\u002Fstore) for the exact schema.\n- `limit` -- max items to return\n- `offset` -- skip items for pagination\n- `format` -- `json` (default), `csv`, `jsonl`, `html`, `xlsx`, `xml`\n- `timeout` -- run timeout in seconds\n- `waitForFinish` -- max wait time (0-300 seconds)\n- `fields` -- comma-separated list of fields to include\n- `omit` -- comma-separated list of fields to exclude\n\nExample prompt: *\"Run the Google Places scraper for 'restaurants in New York' and return the first 50 results\"*\n\n---\n\n### 2. Run an Actor Asynchronously\n\nTrigger an Actor run without waiting for completion. Use for long-running scraping jobs.\n\n**Tool:** `APIFY_RUN_ACTOR`\n\nKey parameters:\n- `actorId` (required) -- Actor slug or ID\n- `body` -- JSON input object for the Actor\n- `memory` -- memory limit in MB (must be power of 2, minimum 128)\n- `timeout` -- run timeout in seconds\n- `maxItems` -- cap on returned items\n- `build` -- specific build tag (e.g., `latest`, `beta`)\n\nFollow up with `APIFY_GET_DATASET_ITEMS` to retrieve results using the run's `datasetId`.\n\nExample prompt: *\"Start the web scraper Actor for example.com asynchronously with 1024MB memory\"*\n\n---\n\n### 3. Retrieve Dataset Items\n\nFetch data from a specific dataset with pagination, field selection, and filtering.\n\n**Tool:** `APIFY_GET_DATASET_ITEMS`\n\nKey parameters:\n- `datasetId` (required) -- dataset identifier\n- `limit` (default\u002Fmax 1000) -- items per page\n- `offset` (default 0) -- pagination offset\n- `format` -- `json` (recommended), `csv`, `xlsx`\n- `fields` -- include only specific fields\n- `omit` -- exclude specific fields\n- `clean` -- remove Apify-specific metadata\n- `desc` -- reverse order (newest first)\n\nExample prompt: *\"Get the first 500 items from dataset myDatasetId in JSON format\"*\n\n---\n\n### 4. Inspect Actor Details\n\nView Actor metadata, input schema, and configuration before running it.\n\n**Tool:** `APIFY_GET_ACTOR`\n\nKey parameters:\n- `actorId` (required) -- Actor ID in format `username\u002Factor-name` or hex ID\n\nExample prompt: *\"Show me the details and input schema for the apify\u002Fweb-scraper Actor\"*\n\n---\n\n### 5. Create Reusable Tasks\n\nConfigure reusable Actor tasks with preset inputs for recurring scraping jobs.\n\n**Tool:** `APIFY_CREATE_TASK`\n\nConfigure a task once, then trigger it repeatedly with consistent input parameters. Useful for scheduled or recurring data collection workflows.\n\nExample prompt: *\"Create an Apify task for the Google Search scraper with default query 'AI startups' and US location\"*\n\n---\n\n### 6. Manage Runs and Datasets\n\nList Actor runs, browse datasets, and inspect run details for monitoring and debugging.\n\n**Tools:** `APIFY_GET_LIST_OF_RUNS`, `APIFY_DATASETS_GET`, `APIFY_DATASET_GET`, `APIFY_GET_LOG`\n\nFor listing runs:\n- Filter by Actor and optionally by status\n- Get `datasetId` from run details for data retrieval\n\nFor dataset management:\n- `APIFY_DATASETS_GET` -- list all your datasets with pagination\n- `APIFY_DATASET_GET` -- get metadata for a specific dataset\n\nFor debugging:\n- `APIFY_GET_LOG` -- retrieve execution logs for a run or build\n\nExample prompt: *\"List the last 10 runs for the web scraper Actor and show logs for the most recent one\"*\n\n---\n\n## Known Pitfalls\n\n- **Actor input schemas vary wildly:** Every Actor has its own unique input fields. Generic field names like `queries` or `search_terms` will be rejected. Always check the Actor's page on [apify.com\u002Fstore](https:\u002F\u002Fapify.com\u002Fstore) for exact field names (e.g., `searchStringsArray` for Google Maps, `startUrls` for web scrapers).\n- **URL format requirements:** Always include the full protocol (`https:\u002F\u002F` or `http:\u002F\u002F`) in URLs. Many Actors require URLs as objects with a `url` property: `{\"startUrls\": [{\"url\": \"https:\u002F\u002Fexample.com\"}]}`.\n- **Dataset pagination cap:** `APIFY_GET_DATASET_ITEMS` has a max `limit` of 1000 per call. For large datasets, loop with `offset` to collect all items.\n- **Enum values are lowercase:** Most Actors expect lowercase enum values (e.g., `relevance` not `RELEVANCE`, `all` not `ALL`).\n- **Sync timeout at 5 minutes:** `APIFY_RUN_ACTOR_SYNC_GET_DATASET_ITEMS` has a maximum `waitForFinish` of 300 seconds. For longer runs, use `APIFY_RUN_ACTOR` (async) and poll with `APIFY_GET_DATASET_ITEMS`.\n- **Data volume costs:** Large datasets can be expensive to fetch. Prefer moderate limits and incremental processing to avoid timeouts or memory pressure.\n- **JSON format recommended:** While CSV\u002FXLSX formats are available, JSON is the most reliable for automated processing. Avoid CSV\u002FXLSX for downstream automation.\n\n---\n\n## Quick Reference\n\n| Tool Slug | Description |\n|---|---|\n| `APIFY_RUN_ACTOR_SYNC_GET_DATASET_ITEMS` | Run Actor synchronously and get results immediately |\n| `APIFY_RUN_ACTOR` | Run Actor asynchronously (trigger and return) |\n| `APIFY_RUN_ACTOR_SYNC` | Run Actor synchronously, return output record |\n| `APIFY_GET_ACTOR` | Get Actor metadata and input schema |\n| `APIFY_GET_DATASET_ITEMS` | Retrieve items from a dataset (paginated) |\n| `APIFY_DATASET_GET` | Get dataset metadata (item count, etc.) |\n| `APIFY_DATASETS_GET` | List all user datasets |\n| `APIFY_CREATE_TASK` | Create a reusable Actor task |\n| `APIFY_GET_TASK_INPUT` | Inspect a task's stored input |\n| `APIFY_GET_LIST_OF_RUNS` | List runs for an Actor |\n| `APIFY_GET_LOG` | Get execution logs for a run |\n\n---\n\n*Powered by [Composio](https:\u002F\u002Fcomposio.dev)*\n",{"name":5,"requires":48,"description":7},{"mcp":49},[50],"rube","master","dff58085da947e81e8418c922055644bf0082b1b","development\u002Fcomposio-apify-automation","https:\u002F\u002Fgithub.com\u002Freikiplanet\u002Fdaoskills","https:\u002F\u002Fgithub.com\u002Freikiplanet","https:\u002F\u002Fwww.reiki-planet.com","Reiki Planet Game","2026-03-29 06:02:29",{"source":8,"skillName":5,"commands":60,"prompt":70,"zipAvailable":71},[61,64,67],{"tool":62,"command":63},"npx","npx skills add reikiplanet\u002Fdaoskills --skill \"Apify Automation\"",{"tool":65,"command":66},"bunx","bunx skills add reikiplanet\u002Fdaoskills --skill \"Apify Automation\"",{"tool":68,"command":69},"pnpm","pnpm dlx skills add reikiplanet\u002Fdaoskills --skill \"Apify Automation\"","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Freikiplanet\u002Fdaoskills\u002Fblob\u002Fmaster\u002Fdevelopment\u002Fcomposio-apify-automation\u002FSKILL.md",true,[],[74,100,112,127,146,169],{"skillNo":75,"name":76,"nameZh":6,"description":77,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":78,"categories":79,"keywords":80,"publishedAt":43},"01M6G614JTEQJHPT8AKK3YQ18S","web-games","Web browser game development principles. Framework selection, WebGPU, optimization, PWA.","https:\u002F\u002Fgithub.com\u002Freikiplanet\u002Fdaoskills\u002Fblob\u002Fmaster\u002Fweb-games\u002FSKILL.md",[],[81,82,42,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99],"games","web games","grep","principles","selection","community","framework selection","edit","write","read","pwa","game","web browser","game development","Optimization","framework","browser","development","webgpu",{"skillNo":101,"name":102,"nameZh":6,"description":103,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":104,"categories":105,"keywords":106,"publishedAt":43},"01M6G611H2YGV0GZFP90D38ZMJ","vr-ar","VR\u002FAR development principles. Comfort, interaction, performance requirements.","https:\u002F\u002Fgithub.com\u002Freikiplanet\u002Fdaoskills\u002Fblob\u002Fmaster\u002Fvr-ar\u002FSKILL.md",[],[107,108,98,109,110,86,88,89,90,83,111,84],"ar","vr ar","interaction","requirements","performance",{"skillNo":113,"name":114,"nameZh":6,"description":115,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":116,"categories":117,"keywords":118,"publishedAt":43},"01M6G60XNMHAMV1SV0EJ1CX0AY","templates","Project scaffolding templates for new applications. Use when creating new projects from scratch. Contains 12 templates for various tech stacks.","https:\u002F\u002Fgithub.com\u002Freikiplanet\u002Fdaoskills\u002Fblob\u002Fmaster\u002Ftemplates\u002FSKILL.md",[],[114,119,120,121,122,123,86,124,90,125,126,83],"project scaffolding","From Scratch","tech","project","scaffolding","use","projects","applications",{"skillNo":128,"name":129,"nameZh":6,"description":130,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":131,"categories":132,"keywords":133,"publishedAt":43},"01M6G60T0GATMK3Q5H8GDC1Z8S","wcag-audit-patterns","Conduct WCAG 2.2 accessibility audits with automated testing, manual verification, and remediation guidance. Use when auditing websites for accessibility, fixing WCAG violations, or implementing ac...","https:\u002F\u002Fgithub.com\u002Freikiplanet\u002Fdaoskills\u002Fblob\u002Fmaster\u002Fskills\u002Fsecurity\u002Fwcag-audit-patterns\u002FSKILL.md",[],[134,135,136,137,138,86,139,27,140,141,124,142,143,144,145],"wcag audit patterns","wcag audit","patterns","WCAG","audit","manual","automated testing","guidance","remediation","verification","accessibility","testing",{"skillNo":147,"name":148,"nameZh":6,"description":149,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":150,"categories":151,"keywords":152,"publishedAt":43},"01M6G60PMCHW1FRZ63F931QK3R","vulnerability-scanner","Advanced vulnerability analysis principles. OWASP 2025, Supply Chain Security, attack surface mapping, risk prioritization.","https:\u002F\u002Fgithub.com\u002Freikiplanet\u002Fdaoskills\u002Fblob\u002Fmaster\u002Fskills\u002Fsecurity\u002Fvulnerability-scanner\u002FSKILL.md",[],[153,154,155,156,157,158,159,160,86,90,83,161,84,162,163,164,165,166,167,168],"scanner","vulnerability scanner","vulnerability","prioritization","2025","mapping","chain","supply chain","Bash","analysis","risk","owasp","supply chain security","security","supply","advanced",{"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":15,"licenseFileUrl":6,"sourceHtmlUrl":173,"categories":174,"keywords":175,"publishedAt":43},"01M6G60JZBB8DK0W3DSG1WNMZK","threat-modeling-expert","Expert in threat modeling methodologies, security architecture review, and risk assessment. Masters STRIDE, PASTA, attack trees, and security requirement extraction. Use for security architecture r...","https:\u002F\u002Fgithub.com\u002Freikiplanet\u002Fdaoskills\u002Fblob\u002Fmaster\u002Fskills\u002Fsecurity\u002Fthreat-modeling-expert\u002FSKILL.md",[],[176,177,178,179,180,181,182,183,166,124,184,185,186,86,187,188,189,163,190,191],"modeling","threat modeling expert","threat modeling","expert","threat","risk assessment","architecture review","architecture","security architecture review","trees","security architecture","security requirement extraction","assessment","extraction","review","stride"]