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Video Sourcing Agent

by @memories-ai-official

Run the Video Sourcing Agent with deterministic, concise chat UX for /video_sourcing using a pinned self-bootstrap runtime.

Versionv1.0.0
Downloads924
TERMINAL
clawhub install video-sourcing-agent

πŸ“– About This Skill


name: video-sourcing version: 1.0.0 description: Run the Video Sourcing Agent with deterministic, concise chat UX for /video_sourcing using a pinned self-bootstrap runtime. user-invocable: true metadata: openclaw: os: - macos - linux homepage: https://github.com/Memories-ai-labs/video-sourcing-agent primaryEnv: GOOGLE_API_KEY requires: bins: - git - uv env: - GOOGLE_API_KEY - YOUTUBE_API_KEY

Video Sourcing Skill

Use this skill when the user asks to find, compare, or analyze social videos (YouTube, TikTok, Instagram, Twitter/X), or explicitly invokes /video_sourcing.

This workflow expects host runtime execution (sandbox mode off). The runner auto-bootstraps a pinned runtime from Memories-ai-labs/video-sourcing-agent@v0.2.3 when VIDEO_SOURCING_AGENT_ROOT is not set.

Triggering

Run this workflow when either condition is true:

1. Message starts with /video_sourcing. 2. The user asks for video sourcing/trend/creator/brand analysis and wants concrete video links.

If /video_sourcing is used with no query body, ask for the missing query.

Execution contract

1. Resolve query text: - /video_sourcing ... => strip /video_sourcing and use remaining text. - Free-form => use user message as query. 2. Default to compact mode: - --event-detail compact 3. If user asks for debugging/raw payloads: - Switch to --event-detail verbose

/video_sourcing deterministic path

1. Build command with required args: - /scripts/run_video_query.sh --query "" --event-detail --ux-mode three_message --progress-gate-seconds 10 2. Start with exec using background: true. 3. Poll with process using action: "poll" every 2-4 seconds until process exits. 4. Parse NDJSON output and render only these events: - started => send: Starting video sourcing... - ux_progress => send concise middle progress updates from summary (throttled by runner) Send each ux_progress as a separate assistant message in Telegram. - terminal event (complete, clarification_needed, error) => send final message as-is 5. Do not forward raw progress, tool_call, or tool_result events for /video_sourcing. 6. Do not rewrite final answer tone/style; preserve the user's existing OpenClaw personality behavior.

Behavior target for /video_sourcing:

1. Fast run (<10s): 2 messages (started, terminal). 2. Longer run (>=10s): recurring throttled ux_progress updates, then terminal.

Free-form path (non-strict)

1. Keep existing flexible behavior. 2. Build command without forcing three_message mode: - /scripts/run_video_query.sh --query "" --event-detail 3. Stream useful progress updates and final response naturally.

Final response format

When terminal event is complete:

1. One short paragraph conclusion. 2. Top 3 video references only by default: - title - url - one-line relevance note 3. Tools used: ... with a compact status summary.

If fewer than 3 videos exist, show all available references.

When terminal event is clarification_needed:

1. Ask the clarification question directly. 2. Treat this as the final response for the current run.

When terminal event is error:

1. Send concise failure reason. 2. Include one actionable next step.

Safety and fallback

1. If script fails due to missing env/tooling, explain exact missing piece (for example VIDEO_SOURCING_AGENT_ROOT, uv, or API key env var). 2. If VIDEO_SOURCING_AGENT_ROOT is unset, the runner uses managed path: - ~/.openclaw/data/video-sourcing-agent/v0.2.3 3. VIDEO_SOURCING_AGENT_ROOT remains an advanced override for local development. 4. Keep response concise and action-oriented. 5. Never fabricate video URLs or metrics.