av-events
Skill23 starsChanged 40 days agoMITView on GitHub
Caption, count or ground supported occurrences in exact local audio/video, or inspect timed musical sections with measured submitted evidence. Use the root AV tools and keep inferred semantics distinct from decoded clocks and physical truth.
In this repository30 other files it gives its agents.
- AGENTS.mdAGENTS.md
- src/AGENTS.mdAGENTS.md
- tests/AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- creative-concept-designSkill
- educational-explainerSkill
- ffmpeg-productionSkill
- footage-editSkill
- gemini-visualizeSkill
- gr-advisorSkill
- hardware-evidence-captureSkill
- image-generationSkill
- mlflow-tracesSkill
- movie-commentarySkill
- plugin-maintenanceSkill
- qwen-image-integrationSkill
- qwen-video-integrationSkill
- research-brief-builderSkill
- research-visualization-blenderSkill
- research-visualization-freecadSkill
- reverse-search-video-frameSkill
- spatial-video-analysisSkill
- tts-productionSkill
- video-explainerSkill
- video-generationSkill
- video-productionSkill
- video-researchSkill
- video-to-skillSkill
- video-translationSkill
- weaviate-setupSkill
The file
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 0 are distinctive, and 2 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.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 15
Use the root tools media_caption_events, media_count_events, media_ground_events and media_analyze_music.
- Very specific: line 55
Keep planned, valid empty, abstained, partial and failed outcomes distinct.
≈ “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.
Files
AV event and music evidence
Installed workflow resources
For a Claude installer layout, use the adjacent managed support directory
../video-research-resources/ and its ../video-research-resources/docs/integrations/AV_EVENTS.md.
The ../video-research-resources/integrations/qwen/av-events.json descriptor records the selected component and requirements.
The repository-relative references below apply when using a source checkout or unpacked npm package. Installing resources does not activate optional runtimes, providers or external source components.
Use the root tools media_caption_events, media_count_events,
media_ground_events and media_analyze_music. Read the
integration contract when choosing budgets,
interpreting support or handling incomplete populations. Existing media_perceive
remains available for its published joint spoken/visible timeline contract.
Bind one regular local file with its full expected_source_sha256, choose a
bounded interval, and prepare with dry_run=true. Inspect the exact source,
actual frame PTS/indices, decoded audio interval, gaps and planned windows. A dry
plan can perform local native preparation, but makes zero provider calls.
Choose finite fps in 0.1..30 inclusive; the default is 1. The extractor samples
available source frames without interpolation. Set explicit frame budgets when
requesting higher rates: max_frames_per_window defaults to 32 and caps at 48,
with at most 128 aggregate frames. A reached frame budget reports partial visual
sampling and coverage.stop_reason=frame_budget; inspect actual PTS, sampled
points and gaps. A higher rate does not enlarge byte, deadline or provider budgets,
and sampled points do not establish continuous watched coverage.
Submit with dry_run=false and authorize_submission=true only when the workflow
has authority for that source upload and spend. Use the configured Gemini account;
never add endpoints, credentials, uploads or alternate services to a request.
The adapter has no installer or foreign Qwen execution route.
Choose the concrete task:
- Caption supported chronological audio, visual and fused occurrences.
- Count an explicit nonempty
target; use only the server's admitted record count. - Ground a nonempty
query; choose positive integertop_kand retain the disclosed available/selected/truncated populations. Scores are uncalibrated model labels. - Analyze music as audio only, including from a video container. Retain timed sections, instruments, moods and tags. Tempo, key, meter and section boundaries are inferred; decoded sample clocks measure the submitted waveform.
Report records with their source SHA, stable record ID, absolute and local times, window index and actual audio/visual support. Both modalities supporting one fused record count once. Keep distinct overlapping records and cross-window boundaries; do not invent a physical identity merge or continuous watched coverage. Do not rename nonspeech audio as a spoken claim.
Keep planned, valid empty, abstained, partial and failed outcomes distinct. A dry
count is unknown. An abstention does not prove absence. A later window failure
retains earlier records and count_so_far, while the final total remains unknown.
Include all planned and completed windows, measured gaps, attempts and unknown
usage. Do not repair JSON, silently truncate records or broaden retries after a
terminal failure. Cancellation must finish owned cleanup before returning.
Decoded clocks and byte commitments establish submitted lineage, not event or
music correctness. The programme's reviewed live semantic journey remains
RESOURCE_UNAUTHORIZED; source and mocked SDK checks do not close that gate.
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