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45ck45ck/video-evaluator/skills/segment-evidence/SKILL.md

segment-evidence

Skill2 starsChanged 7 months agoMITView on GitHub

Fuse video shot segments with storyboard frames, OCR, transitions, and timeline artifacts into one per-segment evidence map for grounded video review.

The file

We split this skill into the rules it gives an agent

4 rules. About 0 are common, 0 are distinctive, and 4 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈0

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 4

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Use this after video-shots when a reviewer needs one ordered map of what evidence exists for each video part.

    line 8
  2. Very specific:

    Use the same bundle locators as video-artifact-intake:

    line 21
  3. Very specific:

    Run video-shots first. Run segment-storyboard plus storyboard-ocr when global storyboard sampling leaves too many empty segments.

    line 48
  4. Very specific:

    Treat empty as an abstention signal.

    line 59

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Segment Evidence

Use this after video-shots when a reviewer needs one ordered map of what evidence exists for each video part.

This skill owns:

  • reading video.shots.json
  • attaching overlapping storyboard frames
  • attaching OCR text evidence and OCR quality counts
  • attaching overlapping transition and timeline evidence
  • writing segment.evidence.json

Inputs

Use the same bundle locators as video-artifact-intake:

{
  "outputDir": "./output/example-run",
  "maxTextItemsPerSegment": 8
}

maxTextItemsPerSegment defaults to 8. outputPath is optional if the artifact should be written somewhere other than segment.evidence.json.

Outputs

The result contains manifestPath and manifest. The manifest has one segment per shot, with:

  • segment start/end times
  • representative shot frame path when available
  • overlapping storyboard frames
  • overlapping timeline items
  • overlapping transitions
  • text evidence from OCR and timeline artifacts
  • evidenceStatus: usable, weak, or empty

Sequencing Guidance

Run video-shots first. Run segment-storyboard plus storyboard-ocr when global storyboard sampling leaves too many empty segments. Run storyboard-transitions and timeline-producing tools first if you want richer segment evidence. The tool can still run with only video.shots.json, but most segments will be weak or empty.

Interpretation Notes

segment.evidence.json is an evidence router. It says which artifacts support each segment. It does not prove full semantic understanding by itself.

Treat empty as an abstention signal. Treat weak as a request to inspect the representative frame or source video before making claims.

Repo-side runner:

node --import tsx scripts/harness/segment-evidence.ts

Installed-pack runner:

node ./.video-evaluator/agent/run-tool.mjs segment-evidence

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