video-frames
Extract frames or short clips from videos using ffmpeg.
Normal operational surface detected via environment, network, or shell-related references.
โ๏ธ Quick review
No runtime postcard yet for this skill. Static evidence is available below, but the runtime lane has not touched it yet.
Before you install
- You are specifically looking for general / unreviewed workflows.
- Expect setup work: this skill references 1 env var.
- Assume outside service calls are part of the story: 1 external domain reference showed up.
- Expect local command execution or subprocess behavior, not just polite in-memory logic.
- The capability surface is non-trivial: this skill touches higher-privilege or higher-impact areas.
- No runtime verdict yet, so you are leaning harder on static evidence and documentation quality.
Why this label
This landed in Trusted because the visible evidence looks ordinary, legible, and non-deceptive for what the skill claims to do.
Uncertainty: Confidence is capped here because this entry relies more on metadata and heuristics than direct source evidence.
Capability surface and suspicious signals
Capability surface
These increase access or impact, but they are not the same thing as deceptive or malicious behavior.
Capability summary
Suspicious behaviors
These are the signals that count much more heavily against the score.
Evidence
Read this section in two layers: capability surface shows what the skill can touch, while suspicious signals show what looks deceptive or riskier than ordinary integrations.
๐งช Technical runtime details
No runtime suite recorded yet for this skill.
Publisher and provenance
Bundled with the local OpenClaw installation. That improves provenance clarity, but it does not eliminate privilege or external-action risk.
Source type: local-skill-dir
Source path: /home/claw1/.npm-global/lib/node_modules/openclaw/skills/video-frames
Manual review
No human review yet. The scorecard is currently static-analysis-first.
Community signals
Community signals
These are community attention markers, not crowd-sourced truth. Click what feels especially worth flagging or reviewing.
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