القائمة
Find the interval a person or object is present — anchor one appearance, then sweep outward with face-match / detect until it drops off both sides.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Give any agent senses (video/audio/image understanding) and OSINT reach (search/capture/monitor) organized around an investigation case. Use when the user wants to analyze a video/audio/image, scan or monitor sources for a target, or ask/brief over accumulated findings. Drives the `overcast` CLI (built on pi + the tinycloud/Cloudglue perception backend); see reference/verbs.md for the full verb surface.
Install and configure overcast for this harness: install the CLI, verify the system ffmpeg, and configure reusable provider profiles. Use once per machine/profile before driving the `overcast` skill.
Turn a case into a visual evidence board — materialize face and object crops, link the same person across clips, connect themes, and render the corkboard as a CSI brief plus a live monitor wall.
Make unreadable footage legible — denoise/upscale a marked moment, re-run OCR and detection on the enhanced output, and record what was recovered with honest provenance (interpolation is a lead, not proof).
Work out where a photo or clip was taken — check embedded EXIF/GPS first, then pull signage, landmarks, and terrain clues, reverse-image-search the strongest ones, and corroborate to a location with cited evidence.
Run a standing surveillance watch on public sources for a target — auto-sense new media, auto-suggest matches into a triage queue, and keep a live control-room wall — so new evidence surfaces itself over time.
| name | overcast-presence-window |
| description | Find the interval a person or object is present — anchor one appearance, then sweep outward with face-match / detect until it drops off both sides. |
Use this skill to answer "from when to when is on screen?" — a first/last
appearance interval, not a single instant. It anchors one confirmed appearance and
expands until the target stops appearing, the presence-tracking analog of a
temporal search. Use the broad overcast skill and
overcast/reference/verbs.md for exact flags.
overcast doctor --json
overcast case init --json
overcast watch ./clip.mp4 --json # -> record id REC
overcast face ./clip.mp4 --match ./person.jpg --json # a specific person (similarity 0-100)
overcast grid ./clip.mp4 --count 16 --json # then see the montage for an object
# person: widen the window; --fps controls sample density (precision vs cost)
overcast face ./clip.mp4 --match ./person.jpg --start <a> --end <b> --fps 1 --min-similarity 55 --json
# object: step frames outward and check presence
overcast see frame://REC@<t> --prompt "Is <target> present? answer only yes or no" --json
overcast note "<target> present" --ref REC --at <first-last> --confidence medium --json
overcast view REC --at <first-last> --json
overcast brief --export ./presence.md --json
One or more [first-last] intervals with the per-hit citations (record.id +
media.at) that bound them, and the sample density used. If the target leaves
and returns, report each interval separately rather than one span covering the
gap.
Sampled detections are per-frame, not continuous — presence between samples is
inferred; raise --fps to tighten boundaries at higher cost. Occlusion or an
off-camera moment splits one presence into several intervals — that's a real
result, not noise. Face similarity is 0-100. Needs the video local.