{"id":28950865,"url":"https://github.com/pelikhan/action-genai-video-issue-analyzer","last_synced_at":"2026-04-28T00:31:33.642Z","repository":{"id":297685037,"uuid":"997475704","full_name":"pelikhan/action-genai-video-issue-analyzer","owner":"pelikhan","description":"GitHub Action that analyzes attached videos and generate action bullet points.","archived":false,"fork":false,"pushed_at":"2025-07-29T08:27:39.000Z","size":184,"stargazers_count":2,"open_issues_count":1,"forks_count":1,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-07-29T10:32:20.910Z","etag":null,"topics":["action","automation","genai","genaiscript"],"latest_commit_sha":null,"homepage":"","language":"TypeScript","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/pelikhan.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2025-06-06T15:34:57.000Z","updated_at":"2025-07-29T07:30:52.000Z","dependencies_parsed_at":"2025-07-29T10:06:04.971Z","dependency_job_id":"e76d3c29-583e-4588-98dc-fecb1ed70f06","html_url":"https://github.com/pelikhan/action-genai-video-issue-analyzer","commit_stats":null,"previous_names":["pelikhan/action-genai-video-issue-analyzer"],"tags_count":4,"template":false,"template_full_name":null,"purl":"pkg:github/pelikhan/action-genai-video-issue-analyzer","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pelikhan%2Faction-genai-video-issue-analyzer","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pelikhan%2Faction-genai-video-issue-analyzer/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pelikhan%2Faction-genai-video-issue-analyzer/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pelikhan%2Faction-genai-video-issue-analyzer/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/pelikhan","download_url":"https://codeload.github.com/pelikhan/action-genai-video-issue-analyzer/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pelikhan%2Faction-genai-video-issue-analyzer/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32361477,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-27T20:07:02.737Z","status":"ssl_error","status_checked_at":"2026-04-27T20:07:00.910Z","response_time":128,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["action","automation","genai","genaiscript"],"created_at":"2025-06-23T14:01:34.689Z","updated_at":"2026-04-28T00:31:33.629Z","avatar_url":"https://github.com/pelikhan.png","language":"TypeScript","funding_links":[],"categories":["Categories"],"sub_categories":["Continuous Team Communication"],"readme":"# GitHub Action Video Issue Analyzer\n\nThis GitHub Action runs all video assets in an issue body through a LLM model to analyze the content, or can analyze a direct video URL when triggered via workflow_dispatch.\nThe default behavior is to summarize and extract task items but this can be customized through the `instructions` input.\n\nThe action outputs the analysis results to the GitHub Step Summary for easy viewing in the Actions tab.\n\n## Inputs\n\n|name|description|required|default|\n|----|-----------|--------|-------|\n| `instructions` | Custom prompting instructions for each video. | false | Analyze the video and provide a summary of its content. Extract list of followup subissues if any. The transcript is your primary source of text information, ignore text in images. |\n| `debug` | Enable debug logging (https://microsoft.github.io/genaiscript/reference/scripts/logging/). | false |  |\n| `model_alias` | A YAML-like list of model aliases and model id: `translation: github:openai/gpt-4o` | false |  |\n| `openai_api_key` | OpenAI API key | false |  |\n| `openai_api_base` | OpenAI API base URL | false |  |\n| `azure_openai_api_endpoint` | Azure OpenAI endpoint. In the Azure Portal, open your Azure OpenAI resource, Keys and Endpoints, copy Endpoint. | false |  |\n| `azure_openai_api_key` | Azure OpenAI API key. **You do NOT need this if you are using Microsoft Entra ID. | false |  |\n| `azure_openai_subscription_id` | Azure OpenAI subscription ID to list available deployments (Microsoft Entra only). | false |  |\n| `azure_openai_api_version` | Azure OpenAI API version. | false |  |\n| `azure_openai_api_credentials` | Azure OpenAI API credentials type. Leave as 'default' unless you have a special Azure setup. | false |  |\n| `azure_ai_inference_api_key` | Azure AI Inference key | false |  |\n| `azure_ai_inference_api_endpoint` | Azure Serverless OpenAI endpoint | false |  |\n| `azure_ai_inference_api_version` | Azure Serverless OpenAI API version | false |  |\n| `azure_ai_inference_api_credentials` | Azure Serverless OpenAI API credentials type | false |  |\n| `github_token` | GitHub token with `models: read` permission at least (https://microsoft.github.io/genaiscript/reference/github-actions/#github-models-permissions). | false |  |\n| `video_url` | Direct video URL to analyze (alternative to extracting from issue body). Used when triggered via workflow_dispatch. | false |  |\n\n## Outputs\n\n|name|description|\n|----|-----------|\n\n| `text` | The generated text output. |\n\n**Note**: The action also outputs the analysis results to the GitHub Step Summary (`$GITHUB_STEP_SUMMARY`) for easy viewing in the Actions tab.\n\n## Usage\n\nAdd the following to your step in your workflow file.\nIt will launch a whisper service in a container that can be used by genaiscript.\n\n```yaml\n    runs-on: ubuntu-latest\n    services:\n      whisper:\n        image: onerahmet/openai-whisper-asr-webservice:latest\n        env:\n          ASR_MODEL: base\n          ASR_ENGINE: openai_whisper\n        ports:\n          - 9000:9000\n        options: \u003e-\n          --health-cmd \"curl -f http://localhost:9000/docs || exit 1\"\n          --health-interval 10s\n          --health-timeout 5s\n          --health-retries 5\n          --health-start-period 20s\n    steps:\n      - uses: actions/checkout@v4\n      - uses: pelikhan/action-genai-video-issue-analyzer@v0\n        with:\n          github_token: ${{ secrets.GITHUB_TOKEN }}\n```\n\n## Example\n\nSave the following in `.github/workflows/genai-video-issue-analyzer.yml` file:\n\n### For Issue-based Analysis (automatic trigger)\n\n```yaml\nname: genai video issue analyzer\non:\n  issues:\n    types: [opened, edited]\npermissions:\n    contents: read\n    issues: write\n    models: read\nconcurrency:\n    group: ${{ github.workflow }}-${{ github.event.issue.number }}\n    cancel-in-progress: true\njobs:\n  genai-video-analyze:\n    runs-on: ubuntu-latest\n    services:\n      whisper:\n        image: onerahmet/openai-whisper-asr-webservice:latest\n        env:\n          ASR_MODEL: base\n          ASR_ENGINE: openai_whisper\n        ports:\n          - 9000:9000\n        options: \u003e-\n          --health-cmd \"curl -f http://localhost:9000/docs || exit 1\"\n          --health-interval 10s\n          --health-timeout 5s\n          --health-retries 5\n          --health-start-period 20s\n    steps:\n      - uses: actions/checkout@v4\n      - uses: actions/cache@v4\n        with:\n          path: .genaiscript/cache/**\n          key: genaiscript-${{ github.run_id }}\n          restore-keys: |\n            genaiscript-\n      - uses: pelikhan/action-genai-video-issue-analyzer@v0 # update to the major version you want to use\n        with:\n          github_token: ${{ secrets.GITHUB_TOKEN }}\n```\n\n### For Direct Video URL Analysis (manual trigger)\n\n```yaml\nname: genai video issue analyzer\non:\n  workflow_dispatch:\n    inputs:\n      video_url:\n        description: 'Direct video URL to analyze'\n        required: true\n        type: string\n      instructions:\n        description: 'Custom prompting instructions for the video'\n        required: false\n        default: 'Analyze the video and provide a summary of its content. Extract list of followup subissues if any. The transcript is your primary source of text information, ignore text in images.'\n        type: string\npermissions:\n    contents: read\n    models: read\njobs:\n  genai-video-analyze:\n    runs-on: ubuntu-latest\n    services:\n      whisper:\n        image: onerahmet/openai-whisper-asr-webservice:latest\n        env:\n          ASR_MODEL: base\n          ASR_ENGINE: openai_whisper\n        ports:\n          - 9000:9000\n        options: \u003e-\n          --health-cmd \"curl -f http://localhost:9000/docs || exit 1\"\n          --health-interval 10s\n          --health-timeout 5s\n          --health-retries 5\n          --health-start-period 20s\n    steps:\n      - uses: actions/checkout@v4\n      - uses: actions/cache@v4\n        with:\n          path: .genaiscript/cache/**\n          key: genaiscript-${{ github.run_id }}\n          restore-keys: |\n            genaiscript-\n      - uses: pelikhan/action-genai-video-issue-analyzer@v0 # update to the major version you want to use\n        with:\n          github_token: ${{ secrets.GITHUB_TOKEN }}\n          video_url: ${{ github.event.inputs.video_url }}\n          instructions: ${{ github.event.inputs.instructions }}\n```\n\n### Combined Workflow (both triggers)\n\n```yaml\nname: genai video issue analyzer\non:\n  issues:\n    types: [opened, edited]\n  workflow_dispatch:\n    inputs:\n      video_url:\n        description: 'Direct video URL to analyze'\n        required: true\n        type: string\n      instructions:\n        description: 'Custom prompting instructions for the video'\n        required: false\n        default: 'Analyze the video and provide a summary of its content. Extract list of followup subissues if any. The transcript is your primary source of text information, ignore text in images.'\n        type: string\npermissions:\n    contents: read\n    issues: write\n    models: read\nconcurrency:\n    group: ${{ github.workflow }}-${{ github.ref }}\n    cancel-in-progress: true\njobs:\n  genai-video-analyze:\n    runs-on: ubuntu-latest\n    services:\n      whisper:\n        image: onerahmet/openai-whisper-asr-webservice:latest\n        env:\n          ASR_MODEL: base\n          ASR_ENGINE: openai_whisper\n        ports:\n          - 9000:9000\n        options: \u003e-\n          --health-cmd \"curl -f http://localhost:9000/docs || exit 1\"\n          --health-interval 10s\n          --health-timeout 5s\n          --health-retries 5\n          --health-start-period 20s\n    steps:\n      - uses: actions/checkout@v4\n      - uses: actions/cache@v4\n        with:\n          path: .genaiscript/cache/**\n          key: genaiscript-${{ github.run_id }}\n          restore-keys: |\n            genaiscript-\n      - uses: pelikhan/action-genai-video-issue-analyzer@v0 # update to the major version you want to use\n        with:\n          github_token: ${{ secrets.GITHUB_TOKEN }}\n          video_url: ${{ github.event.inputs.video_url }}\n          instructions: ${{ github.event.inputs.instructions }}\n```\n\n## Development\n\nThis action was automatically generated by [GenAIScript](https://microsoft.github.io/genaiscript/reference/github-actions) from the script metadata.\nWe recommend updating the script metadata instead of editing the action files directly.\n\n- the action inputs are inferred from the script parameters\n- the action outputs are inferred from the script output schema\n- the action description is the script description\n- the readme description is the script description\n- the action branding is the script branding\n\nTo **regenerate** the action files (`action.yml`), run:\n\n```bash\nnpm run configure\n```\n\nTo lint script files, run:\n\n```bash\nnpm run lint\n```\n\nTo typecheck the scripts, run:\n```bash\nnpm run typecheck\n```\n\nTo build the Docker image locally, run:\n```bash\nnpm run docker:build\n```\n\nTo run the action locally in Docker (build it first), use:\n```bash\nnpm run docker:start\n```\n\n## Upgrade\n\nThe GenAIScript version is pinned in the `package.json` file. To upgrade it, run:\n\n```bash\nnpm run upgrade\n```\n\n## Release\n\nTo release a new version of this action, run the release script on a clean working directory.\n\n```bash\nnpm run release\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpelikhan%2Faction-genai-video-issue-analyzer","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpelikhan%2Faction-genai-video-issue-analyzer","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpelikhan%2Faction-genai-video-issue-analyzer/lists"}