byted-airesearch-videoeval
Create and check long-running video material evaluation tasks. Use this skill when the user wants to submit videos for evaluation, check an existing video evaluation task list, or fetch the result of a previously created video evaluation task. This skill is not a general-purpose video upload skill because upload is allowed only as an internal step of task creation. Authentication uses an API key passed as an Authorization bearer token.
DeepseekModel
官方收录技能
质量 优秀 · 78
v1.0.0
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https://deepseekmodel.com/api/download.php?id=bytedance-agentkit-samples-skills-byted-airesearch-videoeval-skill-md&format=skill
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标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name byted-airesearch-videoeval description Create and check long-running video material evaluation tasks. Use this skill when the user wants to submit videos for evaluation, check an existing video evaluation task list, or fetch the result of a previously created video evaluation task. This skill is not a general-purpose video upload skill because upload is allowed only as an internal step of task creation. Authentication uses an API key passed as an Authorization bearer token. license Complete terms in LICENSE Byted Airesearch Videoeval Use this skill to submit and query long-running material evaluation tasks. When to use Use this skill when the user wants to: evaluate a video material or creative asset submit a material evaluation task and get back a task identifier check the status of an existing evaluation task later fetch the final detail/result of a previously created evaluation task Do not use this skill for generic video upload requests. Current workflow Validate the full input batch before any upload starts. Upload the local video files and capture the returned attachment_id values. Create a task with the uploaded attachment IDs. Return success immediately after the task is created. Ask the user to query task list or task detail later if they want progress or results. This workflow is intentionally non-blocking. Do not poll automatically after task creation. Mandatory behavior Do not expose the upload API as a standalone user-facing capability. Do not trigger this skill for generic requests such as “upload this video”, “store this file”, or “send this video”. Only call the upload API when the user explicitly intends to create a new material evaluation task. For new task creation, prefer scripts/submit_evaluation_task.py so validation, upload, and task creation stay in one controlled flow. Treat scripts/upload_video.py as an internal helper used by the orchestration flow, not as the primary user entrypoint. The script itself rejects direct use unless it is called with the internal orchestration marker. For multi-file submissions, use the orchestration entrypoint so the whole batch is validated before the first upload starts. Submission limits A single task can include at most 10 videos. Non-enabled users have a rolling free quota of at most 10 submitted videos within the last 24 hours. The new task's video count is added to the number of videos already submitted in the last 24 hours. If the total exceeds 10, the service rejects the task and asks the user to contact Volcengine sales to enable access. Enabled users are not restricted by this rolling 24-hour free quota. Quota accounting is based on the actual number of videos submitted per task, with no deduplication. Any task created within the last 24 hours counts toward the rolling quota, including running tasks. Login-based access and API key access share the same quota pool. The skill enforces the per-task limit locally before upload starts. The rolling 24-hour quota is enforced by the service, and the skill should surface the service rejection with a clear explanation. Authentication The current APIs use API key authentication. All API requests sent by this skill must include the header: x-product-version: 20 Authorization: bearer {API_KEY} Preferred input methods: --api-key "<api-key>" BYTED_AIRESEARCH_VIDEOEVAL_API_KEY If no API key is available, ask the user to create or view one at: https://console.volcengine.com/datatester/ai-research/audience/list?tab=apikey Then ask the user to provide the API key before calling the API. If the API key is missing, the scripts must fail immediately with a clear error that points the user to the API key page above. Known API coverage Upload attachment Endpoint: POST https://console.volcengine.com/datatester/compass/api/v3/survey/attachment Request: multipart/form-data File field: file Upload constraints: each upload request contains exactly one video file each video must be 50MB or smaller file format must be mp4 MIME type must be video/mp4 Output mapping: preserve the raw attachment payload map the attachment object's id field to attachment_id The upload_video.py script is an internal helper for the create-task workflow. It is not the primary user-facing entrypoint. Create task Endpoint: POST https://console.volcengine.com/datatester/compass/api/v3/survey/task Fixed request fields: form_id: 0 agent_id: 125 audience_id: 3664529 Optional request fields currently exposed: prompt language is_typical_user_enabled typical_user_count typical_user_selection_mode is_report_enabled attachment_ids Create constraints: one task submission can include at most 10 videos attachment_ids must contain at most 10 items per request The create step should send the uploaded attachment_id as a one-element attachment_ids array unless multiple attachment IDs are explicitly provided. List and detail Task detail is wired and can query an existing task directly: Endpoint: GET https://console.volcengine.com/datatester/compass/api/v3/survey/task/{id} Current auth: API key bearer token Output mapping: map the task object's id field to task_id map the task object's status field to task_status parse task.detail keep only items where key == video_structured_result and sub_tab != null expose a compact summary block for downstream agent use Task list is wired and can query existing tasks directly: Endpoint: GET https://console.volcengine.com/datatester/compass/api/v3/survey/task Current auth: API key bearer token Current fixed query params: page=1 page_size=100 agent_id=125 Output mapping: map each task item to task_id , name , status , created_at , updated_at preserve pagination info in data.page Commands # Validate a whole batch before upload, then upload all files and create the task python scripts/submit_evaluation_task.py \ --file /path/to/video-1.mp4 \ --file /path/to/video-2.mp4 \ --api-key "<api-key>" # Single-video create flow python scripts/submit_evaluation_task.py \ --file /path/to/video.mp4 \ --prompt "Evaluate this material for audience fit and content quality." \ --api-key "<api-key>" # Query task list later python scripts/list_evaluation_tasks.py # Query task detail later python scripts/get_evaluation_task_detail.py --task-id 12345 Response handling All scripts emit JSON to stdout with the same top-level envelope: status message request_id data error Important normalized fields: submit task: data.task_id , data.task_status , data.submitted_video_count list: data.items detail: data.detail , data.summary Final answer rules Use the structured JSON returned by the detail endpoint as the internal source of truth. Present the final answer in human-readable natural language. When the task is finished, prefer a concise report-style answer rather than a raw data dump. Do not dump raw JSON to the user. Do not expose internal field names such as video_eval , video_user_report , distribution , field_desc , or similar implementation-oriented keys. Apply the same rule to task list responses: use the list result as internal source data, but present the outcome as a natural-language summary rather than raw fields. For task list answers, it is acceptable to include the task ID, task name, status, created time, and updated time in human-readable prose, because those fields help the user choose a task for follow-up detail queries. When multiple videos are present, summarize them separately. For finished task detail results, prefer a readable report flow such as: task conclusion first, then one short section per video, then overall recommendations if the source data supports them. If the task is not finished yet, do not fabricate a report. Clearly state the current status and ask the user to check again later. Only provide raw structured data if the user explicitly asks for the raw result. Practical guidance For new submissions, use the orchestration flow rather than exposing upload as a standalone step to the user. Validate the local file before upload. Reject non-MP4 files, files with non- video/mp4 MIME types, or files larger than 50MB with a direct and actionable error message. Validate the task creation input before calling the API. Reject any request that contains more than 10 attachment IDs with a direct and actionable error message. For a multi-video submit flow, validate the full batch size before any upload starts. If the batch contains more than 10 files, fail immediately and do not upload anything. If the service rejects task creation because the rolling 24-hour free quota was exceeded, use this standard Chinese wording for the user-facing message: 免费版用户每24小时最多提交10个评估视频,如需购买请联系火山引擎销售人员 After create succeeds, tell the user the task has been submitted successfully and can be checked later. Use task list when the user wants to browse or find historical tasks. Use task detail when the user already knows the task ID and wants the final result.
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下载的 .skill 包内含以下字段。
| 字段 | 说明 |
|---|---|
| format | 格式标识(skill/v1) |
| skill_id | 技能唯一 ID |
| name | 技能名称 |
| version | 版本号 |
| description | 技能描述 |
| category | 所属分类(数组) |
| trigger_words | 触发词列表 |
| tags | 标签列表 |
| source | 来源标识 |
| source_url | 来源链接(本页地址) |
| exported_at | 导出时间(每次下载生成) |
| system_prompt | 系统提示词正文 |
| model_config | 模型参数:provider / model / temperature / max_tokens / top_p |
| examples | 示例 |
| install_guide | 各平台导入说明(Coze / Dify / Claude / 自定义框架) |