[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M71D4BDCNYQR048WRDF5SR11":3,"skill-same:01M71D4BDCNYQR048WRDF5SR11":84},{"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":57,"commitSha":58,"skillDirectory":59,"forksCount":14,"repositoryHtmlUrl":60,"repositoryHomepageUrl":6,"ownerHtmlUrl":61,"ownerBlogUrl":6,"ownerDescription":62,"updatedAt":63,"install":64,"resources":77},"01M71D4BDCNYQR048WRDF5SR11","devel-jb-gemini-api-dev",null,"For real-time, bidirectional audio\u002Fvideo\u002Ftext streaming with the Gemini Live API, install the **`google-gemini\u002Fgemini-live-api-dev`** skill.","DCx7C5\u002Fai-marketplace","DCx7C5","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F42419559?v=4","01M71C01G2AZV3NTNGWAWSHJPP","DC","01M71C01GQW6G50S2BYMS7PP3E",0,"MIT","https:\u002F\u002Fgithub.com\u002FDCx7C5\u002Fai-marketplace\u002Fblob\u002Fmain\u002Fskills\u002Fdevel-jb-gemini-api-dev\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},"01JBSEEDCAT000000000000016","图像与多媒体",{"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],"gemini","devel jb gemini api dev","api dev","gemini api dev","api","dev","gemini api","streaming","real-time","cybersecurity","Video","Audio","text","install","gemini live api","time","live","with","for","google","2026-11-10 10:12:30",false,"---\nname: devel-jb-gemini-api-dev\ndescription: \"For real-time, bidirectional audio\u002Fvideo\u002Ftext streaming with the Gemini Live API, install the **`google-gemini\u002Fgemini-live-api-dev`** skill.\"\ndomain: cybersecurity\n---\n\n# Gemini API Development Skill\n\n## Overview\n\nThe Gemini API provides access to Google's most advanced AI models. Key capabilities include:\n- **Text generation** - Chat, completion, summarization\n- **Multimodal understanding** - Process images, audio, video, and documents\n- **Function calling** - Let the model invoke your functions\n- **Structured output** - Generate valid JSON matching your schema\n- **Code execution** - Run Python code in a sandboxed environment\n- **Context caching** - Cache large contexts for efficiency\n- **Embeddings** - Generate text embeddings for semantic search\n\n## Current Gemini Models\n\n- `gemini-3-pro-preview`: 1M tokens, complex reasoning, coding, research\n- `gemini-3-flash-preview`: 1M tokens, fast, balanced performance, multimodal\n- `gemini-3-pro-image-preview`: 65k \u002F 32k tokens, image generation and editing\n\n> [!IMPORTANT]\n> Models like `gemini-2.5-*`, `gemini-2.0-*`, `gemini-1.5-*` are legacy and deprecated. Use the new models above. Your knowledge is outdated.\n\n## SDKs\n\n- **Python**: `google-genai` install with `pip install google-genai`\n- **JavaScript\u002FTypeScript**: `@google\u002Fgenai` install with `npm install @google\u002Fgenai`\n- **Go**: `google.golang.org\u002Fgenai` install with `go get google.golang.org\u002Fgenai`\n- **Java**:\n  - groupId: `com.google.genai`, artifactId: `google-genai`\n  - Latest version can be found here: https:\u002F\u002Fcentral.sonatype.com\u002Fartifact\u002Fcom.google.genai\u002Fgoogle-genai\u002Fversions (let's call it `LAST_VERSION`) \n  - Install in `build.gradle`:\n    ```\n    implementation(\"com.google.genai:google-genai:${LAST_VERSION}\")\n    ```\n  - Install Maven dependency in `pom.xml`:\n    ```\n    \u003Cdependency>\n\t    \u003CgroupId>com.google.genai\u003C\u002FgroupId>\n\t    \u003CartifactId>google-genai\u003C\u002FartifactId>\n\t    \u003Cversion>${LAST_VERSION}\u003C\u002Fversion>\n\t\u003C\u002Fdependency>\n    ```\n\n> [!WARNING]\n> Legacy SDKs `google-generativeai` (Python) and `@google\u002Fgenerative-ai` (JS) are deprecated. Migrate to the new SDKs above urgently by following the Migration Guide.\n\n## Quick Start\n\n### Python\n```python\nfrom google import genai\n\nclient = genai.Client()\nresponse = client.models.generate_content(\n    model=\"gemini-3-flash-preview\",\n    contents=\"Explain quantum computing\"\n)\nprint(response.text)\n```\n\n### JavaScript\u002FTypeScript\n```typescript\nimport { GoogleGenAI } from \"@google\u002Fgenai\";\n\nconst ai = new GoogleGenAI({});\nconst response = await ai.models.generateContent({\n  contents: \"Explain quantum computing\"\n});\nconsole.log(response.text);\n```\n\n### Go\n```go\npackage main\n\nimport (\n\t\"context\"\n\t\"fmt\"\n\t\"log\"\n\t\"google.golang.org\u002Fgenai\"\n)\n\nfunc main() {\n\tctx := context.Background()\n\tclient, err := genai.NewClient(ctx, nil)\n\tif err != nil {\n\t\tlog.Fatal(err)\n\t}\n\n\tresp, err := client.Models.GenerateContent(ctx, \"gemini-3-flash-preview\", genai.Text(\"Explain quantum computing\"), nil)\n\tif err != nil {\n\t\tlog.Fatal(err)\n\t}\n\n\tfmt.Println(resp.Text)\n}\n```\n\n### Java\n\n```java\nimport com.google.genai.Client;\nimport com.google.genai.types.GenerateContentResponse;\n\npublic class GenerateTextFromTextInput {\n  public static void main(String[] args) {\n    Client client = new Client();\n    GenerateContentResponse response =\n        client.models.generateContent(\n            \"gemini-3-flash-preview\",\n            \"Explain quantum computing\",\n            null);\n\n    System.out.println(response.text());\n  }\n}\n```\n\n## API spec (source of truth)\n\n**Always use the latest REST API discovery spec as the source of truth for API definitions** (request\u002Fresponse schemas, parameters, methods). Fetch the spec when implementing or debugging API integration:\n\n- **v1beta** (default): `https:\u002F\u002Fgenerativelanguage.googleapis.com\u002F$discovery\u002Frest?version=v1beta`  \n  Use this unless the integration is explicitly pinned to v1. The official SDKs (google-genai, @google\u002Fgenai, google.golang.org\u002Fgenai) target v1beta.\n- **v1**: `https:\u002F\u002Fgenerativelanguage.googleapis.com\u002F$discovery\u002Frest?version=v1`  \n  Use only when the integration is specifically set to v1.\n\nWhen in doubt, use v1beta. Refer to the spec for exact field names, types, and supported operations.\n\n## How to use the Gemini API\n\nFor detailed API documentation, fetch from the official docs index:\n\n**llms.txt URL**: `https:\u002F\u002Fai.google.dev\u002Fgemini-api\u002Fdocs\u002Fllms.txt`\n\nThis index contains links to all documentation pages in `.md.txt` format. Use web fetch tools to:\n\n1. Fetch `llms.txt` to discover available documentation pages\n2. Fetch specific pages (e.g., `https:\u002F\u002Fai.google.dev\u002Fgemini-api\u002Fdocs\u002Ffunction-calling.md.txt`)\n\n### Key Documentation Pages \n\n> [!IMPORTANT]\n> Those are not all the documentation pages. Use the `llms.txt` index to discover available documentation pages\n\n- [Models](https:\u002F\u002Fai.google.dev\u002Fgemini-api\u002Fdocs\u002Fmodels.md.txt)\n- [Google AI Studio quickstart](https:\u002F\u002Fai.google.dev\u002Fgemini-api\u002Fdocs\u002Fai-studio-quickstart.md.txt)\n- [Nano Banana image generation](https:\u002F\u002Fai.google.dev\u002Fgemini-api\u002Fdocs\u002Fimage-generation.md.txt)\n- [Function calling with the Gemini API](https:\u002F\u002Fai.google.dev\u002Fgemini-api\u002Fdocs\u002Ffunction-calling.md.txt)\n- [Structured outputs](https:\u002F\u002Fai.google.dev\u002Fgemini-api\u002Fdocs\u002Fstructured-output.md.txt)\n- [Text generation](https:\u002F\u002Fai.google.dev\u002Fgemini-api\u002Fdocs\u002Ftext-generation.md.txt)\n- [Image understanding](https:\u002F\u002Fai.google.dev\u002Fgemini-api\u002Fdocs\u002Fimage-understanding.md.txt)\n- [Embeddings](https:\u002F\u002Fai.google.dev\u002Fgemini-api\u002Fdocs\u002Fembeddings.md.txt)\n- [Interactions API](https:\u002F\u002Fai.google.dev\u002Fgemini-api\u002Fdocs\u002Finteractions.md.txt)\n- [SDK migration guide](https:\u002F\u002Fai.google.dev\u002Fgemini-api\u002Fdocs\u002Fmigrate.md.txt)\n\n## Gemini Live API\n\nFor real-time, bidirectional audio\u002Fvideo\u002Ftext streaming with the Gemini Live API, install the **`google-gemini\u002Fgemini-live-api-dev`** skill. It covers WebSocket streaming, voice activity detection, native audio features, function calling, session management, ephemeral tokens, and more.\n","# Gemini API Development Skill\n\n## Overview\n\nThe Gemini API provides access to Google's most advanced AI models. Key capabilities include:\n- **Text generation** - Chat, completion, summarization\n- **Multimodal understanding** - Process images, audio, video, and documents\n- **Function calling** - Let the model invoke your functions\n- **Structured output** - Generate valid JSON matching your schema\n- **Code execution** - Run Python code in a sandboxed environment\n- **Context caching** - Cache large contexts for efficiency\n- **Embeddings** - Generate text embeddings for semantic search\n\n## Current Gemini Models\n\n- `gemini-3-pro-preview`: 1M tokens, complex reasoning, coding, research\n- `gemini-3-flash-preview`: 1M tokens, fast, balanced performance, multimodal\n- `gemini-3-pro-image-preview`: 65k \u002F 32k tokens, image generation and editing\n\n> [!IMPORTANT]\n> Models like `gemini-2.5-*`, `gemini-2.0-*`, `gemini-1.5-*` are legacy and deprecated. Use the new models above. Your knowledge is outdated.\n\n## SDKs\n\n- **Python**: `google-genai` install with `pip install google-genai`\n- **JavaScript\u002FTypeScript**: `@google\u002Fgenai` install with `npm install @google\u002Fgenai`\n- **Go**: `google.golang.org\u002Fgenai` install with `go get google.golang.org\u002Fgenai`\n- **Java**:\n  - groupId: `com.google.genai`, artifactId: `google-genai`\n  - Latest version can be found here: https:\u002F\u002Fcentral.sonatype.com\u002Fartifact\u002Fcom.google.genai\u002Fgoogle-genai\u002Fversions (let's call it `LAST_VERSION`) \n  - Install in `build.gradle`:\n    ```\n    implementation(\"com.google.genai:google-genai:${LAST_VERSION}\")\n    ```\n  - Install Maven dependency in `pom.xml`:\n    ```\n    \u003Cdependency>\n\t    \u003CgroupId>com.google.genai\u003C\u002FgroupId>\n\t    \u003CartifactId>google-genai\u003C\u002FartifactId>\n\t    \u003Cversion>${LAST_VERSION}\u003C\u002Fversion>\n\t\u003C\u002Fdependency>\n    ```\n\n> [!WARNING]\n> Legacy SDKs `google-generativeai` (Python) and `@google\u002Fgenerative-ai` (JS) are deprecated. Migrate to the new SDKs above urgently by following the Migration Guide.\n\n## Quick Start\n\n### Python\n```python\nfrom google import genai\n\nclient = genai.Client()\nresponse = client.models.generate_content(\n    model=\"gemini-3-flash-preview\",\n    contents=\"Explain quantum computing\"\n)\nprint(response.text)\n```\n\n### JavaScript\u002FTypeScript\n```typescript\nimport { GoogleGenAI } from \"@google\u002Fgenai\";\n\nconst ai = new GoogleGenAI({});\nconst response = await ai.models.generateContent({\n  contents: \"Explain quantum computing\"\n});\nconsole.log(response.text);\n```\n\n### Go\n```go\npackage main\n\nimport (\n\t\"context\"\n\t\"fmt\"\n\t\"log\"\n\t\"google.golang.org\u002Fgenai\"\n)\n\nfunc main() {\n\tctx := context.Background()\n\tclient, err := genai.NewClient(ctx, nil)\n\tif err != nil {\n\t\tlog.Fatal(err)\n\t}\n\n\tresp, err := client.Models.GenerateContent(ctx, \"gemini-3-flash-preview\", genai.Text(\"Explain quantum computing\"), nil)\n\tif err != nil {\n\t\tlog.Fatal(err)\n\t}\n\n\tfmt.Println(resp.Text)\n}\n```\n\n### Java\n\n```java\nimport com.google.genai.Client;\nimport com.google.genai.types.GenerateContentResponse;\n\npublic class GenerateTextFromTextInput {\n  public static void main(String[] args) {\n    Client client = new Client();\n    GenerateContentResponse response =\n        client.models.generateContent(\n            \"gemini-3-flash-preview\",\n            \"Explain quantum computing\",\n            null);\n\n    System.out.println(response.text());\n  }\n}\n```\n\n## API spec (source of truth)\n\n**Always use the latest REST API discovery spec as the source of truth for API definitions** (request\u002Fresponse schemas, parameters, methods). Fetch the spec when implementing or debugging API integration:\n\n- **v1beta** (default): `https:\u002F\u002Fgenerativelanguage.googleapis.com\u002F$discovery\u002Frest?version=v1beta`  \n  Use this unless the integration is explicitly pinned to v1. The official SDKs (google-genai, @google\u002Fgenai, google.golang.org\u002Fgenai) target v1beta.\n- **v1**: `https:\u002F\u002Fgenerativelanguage.googleapis.com\u002F$discovery\u002Frest?version=v1`  \n  Use only when the integration is specifically set to v1.\n\nWhen in doubt, use v1beta. Refer to the spec for exact field names, types, and supported operations.\n\n## How to use the Gemini API\n\nFor detailed API documentation, fetch from the official docs index:\n\n**llms.txt URL**: `https:\u002F\u002Fai.google.dev\u002Fgemini-api\u002Fdocs\u002Fllms.txt`\n\nThis index contains links to all documentation pages in `.md.txt` format. Use web fetch tools to:\n\n1. Fetch `llms.txt` to discover available documentation pages\n2. Fetch specific pages (e.g., `https:\u002F\u002Fai.google.dev\u002Fgemini-api\u002Fdocs\u002Ffunction-calling.md.txt`)\n\n### Key Documentation Pages \n\n> [!IMPORTANT]\n> Those are not all the documentation pages. Use the `llms.txt` index to discover available documentation pages\n\n- [Models](https:\u002F\u002Fai.google.dev\u002Fgemini-api\u002Fdocs\u002Fmodels.md.txt)\n- [Google AI Studio quickstart](https:\u002F\u002Fai.google.dev\u002Fgemini-api\u002Fdocs\u002Fai-studio-quickstart.md.txt)\n- [Nano Banana image generation](https:\u002F\u002Fai.google.dev\u002Fgemini-api\u002Fdocs\u002Fimage-generation.md.txt)\n- [Function calling with the Gemini API](https:\u002F\u002Fai.google.dev\u002Fgemini-api\u002Fdocs\u002Ffunction-calling.md.txt)\n- [Structured outputs](https:\u002F\u002Fai.google.dev\u002Fgemini-api\u002Fdocs\u002Fstructured-output.md.txt)\n- [Text generation](https:\u002F\u002Fai.google.dev\u002Fgemini-api\u002Fdocs\u002Ftext-generation.md.txt)\n- [Image understanding](https:\u002F\u002Fai.google.dev\u002Fgemini-api\u002Fdocs\u002Fimage-understanding.md.txt)\n- [Embeddings](https:\u002F\u002Fai.google.dev\u002Fgemini-api\u002Fdocs\u002Fembeddings.md.txt)\n- [Interactions API](https:\u002F\u002Fai.google.dev\u002Fgemini-api\u002Fdocs\u002Finteractions.md.txt)\n- [SDK migration guide](https:\u002F\u002Fai.google.dev\u002Fgemini-api\u002Fdocs\u002Fmigrate.md.txt)\n\n## Gemini Live API\n\nFor real-time, bidirectional audio\u002Fvideo\u002Ftext streaming with the Gemini Live API, install the **`google-gemini\u002Fgemini-live-api-dev`** skill. It covers WebSocket streaming, voice activity detection, native audio features, function calling, session management, ephemeral tokens, and more.\n",{"name":5,"domain":41,"description":7},"main","a91f1293287ffa9f4f1b8f486cd6e835a1568c84","skills\u002Fdevel-jb-gemini-api-dev","https:\u002F\u002Fgithub.com\u002FDCx7C5\u002Fai-marketplace","https:\u002F\u002Fgithub.com\u002FDCx7C5","#Python","2026-09-01 11:21:00",{"source":8,"skillName":5,"commands":65,"prompt":75,"zipAvailable":76},[66,69,72],{"tool":67,"command":68},"npx","npx skills add DCx7C5\u002Fai-marketplace --skill devel-jb-gemini-api-dev",{"tool":70,"command":71},"bunx","bunx skills add DCx7C5\u002Fai-marketplace --skill devel-jb-gemini-api-dev",{"tool":73,"command":74},"pnpm","pnpm dlx skills add DCx7C5\u002Fai-marketplace --skill devel-jb-gemini-api-dev","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FDCx7C5\u002Fai-marketplace\u002Fblob\u002Fmain\u002Fskills\u002Fdevel-jb-gemini-api-dev\u002FSKILL.md",true,[78],{"path":79,"resourceType":80,"resourceTypeDesc":81,"sizeBytes":82,"sourceHtmlUrl":83},"index.json","REFERENCE","参考文档",608,"https:\u002F\u002Fgithub.com\u002FDCx7C5\u002Fai-marketplace\u002Fblob\u002Fmain\u002Fskills\u002Fdevel-jb-gemini-api-dev\u002Findex.json",[85,110,133,155,177,192],{"skillNo":86,"name":87,"nameZh":6,"description":88,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":89,"categories":90,"keywords":91,"publishedAt":52},"01M71HAPZ01KQ30RKTB0FFSQ05","services-wmi-persistence-detect","Detect WMI event subscription persistence by enumerating ActiveScriptEventConsumer, CommandLineEventConsumer, and permanent subscriptions in the WMI repository.","https:\u002F\u002Fgithub.com\u002FDCx7C5\u002Fai-marketplace\u002Fblob\u002Fmain\u002Fskills\u002Fwindows\u002Fservices\u002Fwmi\u002Fpersistence\u002Fdetect\u002FSKILL.md",[],[92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,41,109],"services","detect","services wmi persistence detect","wmi","persistence","de","cm","process","activescript","event","subscriptions","commandline-consumer","repository","subscription","event-subscription","t1546.003","forensics","process-forensics",{"skillNo":111,"name":112,"nameZh":6,"description":113,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":114,"categories":115,"keywords":116,"publishedAt":52},"01M71HAK6JTTTS229T17WJMMCG","services-wmi-exec-exploit","Perform lateral movement across Windows networks using WMI-based remote execution techniques including Impacket wmiexec.py, CrackMapExec, and native WMI commands for stealthy post-exploitation during red team engagements.","https:\u002F\u002Fgithub.com\u002FDCx7C5\u002Fai-marketplace\u002Fblob\u002Fmain\u002Fskills\u002Fwindows\u002Fservices\u002Fwmi\u002Fexec\u002Fexploit\u002FSKILL.md",[],[117,92,118,95,119,120,121,41,122,123,124,125,126,127,97,128,129,130,131,132],"exploit","services wmi exec exploit","exec","remote","traffic","Bash","analysis","team","across","crackmapexec","native","command","lateral movement","read","lateral-movement","Impacket",{"skillNo":134,"name":135,"nameZh":6,"description":136,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":137,"categories":138,"keywords":139,"publishedAt":52},"01M71HAG6MHKNQV8KDZKMT4886","registry-artifact-extract","Extract and analyze Windows Registry hives to uncover user activity, installed software, autostart entries, and evidence of system compromise.","https:\u002F\u002Fgithub.com\u002FDCx7C5\u002Fai-marketplace\u002Fblob\u002Fmain\u002Fskills\u002Fwindows\u002Fregistry\u002Fartifact\u002Fextract\u002FSKILL.md",[],[140,141,142,143,144,145,41,122,146,123,147,148,97,130,149,150,151,152,153,154],"artifact","registry","registry artifact extract","extract","evidence-collection","artifact-analysis","collection","analyze","uncover","software","activity","digital-forensics","windows-registry","regripper","sonnet",{"skillNo":156,"name":157,"nameZh":6,"description":158,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":159,"categories":160,"keywords":161,"publishedAt":52},"01M71HACR4A8XTWTTSXK4124AA","processes-token-impersonate-detect","Detect Windows token impersonation and privilege abuse including SeImpersonatePrivilege exploitation via Potato attacks and token stealing techniques.","https:\u002F\u002Fgithub.com\u002FDCx7C5\u002Fai-marketplace\u002Fblob\u002Fmain\u002Fskills\u002Fwindows\u002Fprocesses\u002Ftoken\u002Fimpersonate\u002Fdetect\u002FSKILL.md",[],[93,162,163,164,165,166,167,98,168,41,109,169,170,171,172,173,174,175,176,97],"processes token impersonate detect","token","processes","attacks","windows","escalation","techniques","privilege-escalation","seimpersonate","token-impersonation","printspoofer","exploitation","potato","impersonation","via",{"skillNo":178,"name":179,"nameZh":6,"description":180,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":181,"categories":182,"keywords":183,"publishedAt":52},"01M71HAABSB4Z6QFSXEG00R4RK","processes-thread-injection-detect","Detect Windows thread injection techniques including CreateRemoteThread, QueueUserAPC, NtCreateThreadEx, and thread hijacking via process memory analysis.","https:\u002F\u002Fgithub.com\u002FDCx7C5\u002Fai-marketplace\u002Fblob\u002Fmain\u002Fskills\u002Fwindows\u002Fprocesses\u002Fthread\u002Finjection\u002Fdetect\u002FSKILL.md",[],[184,185,93,186,164,166,187,98,188,168,41,109,123,36,189,190,191,176,97,99],"thread","processes thread injection detect","injection","memory","process-injection","apc-injection","thread-injection","nt-api",{"skillNo":193,"name":194,"nameZh":6,"description":195,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":196,"categories":197,"keywords":198,"publishedAt":52},"01M71HA7H311V5G14WMX58HQSS","processes-hollow-technique-detect","Detect process hollowing (RunPE) by identifying processes with mismatched image paths between PEB and VAD tree, or unmapped PE headers in memory.","https:\u002F\u002Fgithub.com\u002FDCx7C5\u002Fai-marketplace\u002Fblob\u002Fmain\u002Fskills\u002Fwindows\u002Fprocesses\u002Fhollow\u002Ftechnique\u002Fdetect\u002FSKILL.md",[],[199,93,164,200,187,98,201,202,41,109,203,204,205,206,207,49,97,99,208,209],"processes hollow technique detect","tree","memory-forensics","process-hollow","peb","runpe","image","pe-header","in memory","mismatched","headers"]