video-sourcing

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

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Install skill "video-sourcing" with this command: npx skills add memories-ai-official/video-sourcing-agent

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:
    • <skill_dir>/scripts/run_video_query.sh --query "<query>" --event-detail <compact|verbose> --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:
    • <skill_dir>/scripts/run_video_query.sh --query "<query>" --event-detail <compact|verbose>
  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.

Source Transparency

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