Video Breakdown

Provides quantitative quality scores and detailed shot-by-shot breakdowns for videos to evaluate technical quality and narrative structure.

This skill describes a useful video-analysis service but leaves important questions unanswered. Before installing or using it, ask the provider for: (1) the full backend URL(s) the agent will call, (2) authentication requirements (API key or token) and why no env vars are declared, (3) a privacy/data retention policy (will your videos be stored, for how long, used for model training?), (4) whether private or internal URLs will be accessed or if requests are proxied, and (5) an auditable implementation (code or platform-integrated tool) you can review. If you must test it, only submit non-sensitive/public videos and monitor outbound network activity; avoid sending proprietary or private media until you have explicit assurances about storage, access control, and the third‑party operator's identity.

Type: OpenClaw Skill Name: video-breakdown Version: 1.0.0 The skill relies entirely on an unspecified external backend service for all its core functionality (video analysis). While the stated purpose is benign, the `SKILL.md` explicitly details API endpoints (`/analyze`, `/status`) but critically omits the base URL for this backend service. This lack of a defined endpoint creates an opaque dependency and a significant vulnerability, as the agent's target for network requests is unknown from the skill definition itself. If the mechanism for resolving this backend URL is insecure or configurable by an attacker, it could lead to the agent interacting with a malicious service, potentially exposing user-provided `video_url` data to untrusted third parties or facilitating SSRF-like attacks if the backend service is vulnerable.