skill-kdr-overcast-overcast-presence-window · by Install
$ agentstack add skill-kdr-overcast-overcast-presence-window ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
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Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-kdr-overcast-overcast-presence-window) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
overcast-presence-window
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.
Workflow
- Local clip + record id:
overcast doctor --json
overcast case init --json
overcast watch ./clip.mp4 --json # -> record id REC- Anchor one appearance (whichever fits the target):
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- Sweep outward from the anchor until K consecutive misses on each side:
# person: widen the window; --fps controls sample density (precision vs cost)
overcast face ./clip.mp4 --match ./person.jpg --start --end --fps 1 --min-similarity 55 --json
# object: step frames outward and check presence
overcast see frame://REC@ --prompt "Is present? answer only yes or no" --json- Emit the presence interval(s) and show them:
overcast note " present" --ref REC --at --confidence medium --json
overcast view REC --at --json
overcast brief --export ./presence.md --jsonOutput
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.
Caveats
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.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: kdr
- Source: kdr/overcast
- License: Apache-2.0
- Homepage: https://overcast.video
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.