Codex task: normalize VideoLab functional lab manifest, validation, and release-dry-run skeleton

[mdheller]

Mission

Normalize videolab as a SociOS functional ML lab surface for video/temporal media experiments, frame/scene metadata, temporal transcripts, multimodal evidence, and video-analysis fixtures.

This issue is designed for a Codex agent because it must align with ImageLab, SpeechLab, OCRLab, Holmes, and platform service records. Keep the change bounded and open a PR.

Scope

Add a minimal lab skeleton without pulling heavy model dependencies:

• docs/LAB_SURFACE.md
• docs/PROPHET_INTEGRATION.md
• examples/functional-service.json
• examples/eval-fixture.json
• tools/validate_examples.py
• Makefile
• optional .github/workflows/validate.yml

Required Make targets

make validate
make emit-service-manifest
make emit-eval-fixture
make release-dry-run

Required semantics

• VideoLab is a lab surface, not the platform runtime service.
• Platform service promotion belongs to SocioProphet/prophet-platform and governance ledgers.
• SourceOS carries signed service refs only; it must not carry mutable model authority.
• Examples must be deterministic and small.

Acceptance criteria

• make validate passes with no network or model downloads.
• make emit-service-manifest writes or prints the functional service manifest.
• make emit-eval-fixture writes or prints the eval fixture.
• Docs explain integration with imagelab, speechlab, ocrlab, holmes, functional-model-surfaces, and prophet-platform.

Do not

• Do not download or vendor video models/media datasets.
• Do not add GPU-heavy dependencies.
• Do not implement real training jobs.
• Do not modify unrelated files.