القائمة
Localize the exact instant of a one-way state change (light on, door opens, poster removed) by binary-searching frames — ~log2(N) VLM calls.
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-event-bisect |
| description | Localize the exact instant of a one-way state change (light on, door opens, poster removed) by binary-searching frames — ~log2(N) VLM calls. |
Use this skill when a video contains a single MONOTONE transition — a condition
that is false before some instant and true after it (or vice versa), and does not
flip back. Binary search finds it in about log2(window/precision) vision calls
(~12 calls localizes to ~1s inside an hour). Use the broad overcast skill and
overcast/reference/verbs.md for exact flags.
see frame:// needs media on disk):overcast doctor --json
overcast case init --json
overcast watch ./clip.mp4 --json # -> record id REC (also gives shot context)
overcast see frame://REC@<lo> --prompt "Is <predicate> true? answer only yes or no" --json
overcast see frame://REC@<hi> --prompt "Is <predicate> true? answer only yes or no" --json
If both give the same answer, the flip isn't in [lo,hi]. If the predicate
toggles more than once, it isn't monotone — use overcast-pinpoint instead.
hi - lo is within your precision:overcast see frame://REC@<mid> --prompt "Is <predicate> true? answer only yes or no" --json
# keep the straddling half: if mid's answer == lo's answer, set lo=mid; else hi=mid
# (correct whichever way it flips — false->true OR true->false)
overcast note "<predicate> flips" --ref REC --at <lo-hi> --confidence high --json
overcast view REC --at <lo-hi> --json
overcast brief --export ./transition.md --json
The converged [lo, hi] bracket — the two adjacent see frames that straddle
the flip (their record.ids + media.at) — and the call count. That bracket IS
the answer window — don't over-claim a single frame.
Bisection is only valid for a one-way change; a light that blinks or a person who
comes and goes will mislead it — verify monotonicity at step 2, and fall back to
overcast-pinpoint (peak search) or overcast-presence-window for recurring or
interval events. Needs the video local.