VSS Video Summarizer

The skill narrowly scopes itself to summarizing one recorded video and explicitly excludes live captioning and report generation. The LVS path requires user confirmation of scenario, events, and optional objects, while deployment also requires confirmation; fallback behavior and backend disclosure are explicit. Nine points are deducted because video URLs are sent to LVS or VLM endpoints without documented handling of sensitive footage, access control, retention, or cross-network data flow. Authentication is only optional, and least-privilege, audit, and rollback controls are not specified.

Routing, readiness checks, warmup retries, model-ID validation, response parsing, and common error cases are documented with concrete commands. Eleven points are deducted because the workflow depends on VIOS, LVS, VLM, jq, curl, and other skills whose availability is not established here; failure reporting and HTTP error parsing remain limited, and static review cannot confirm executability.

The intended use, parameters, output format, exclusions, and LVS/VLM routing conditions are clearly defined, with separate handling for service-operations requests. Five points are deducted because Chinese-language support and mainland-China network reachability are not addressed. Core functionality depends on a reachable local deployment or VLM/LVS service, limiting environment fit.

The documentation has clear layering and includes purpose, prerequisites, limitations, troubleshooting, a reference map, version 3.2.1, an Apache-2.0 declaration, author, upstream link, examples, and evaluation manifests. Five points are deducted because the author format triggered a static validation finding; no explicit changelog, named maintenance responsibility, or stable update process is provided, and referenced skills and files must exist separately for the workflow to be complete.

The stated goal is a timestamped summary of one video, and the LVS response fields and fallback output have directly usable rendering rules. Nine points are deducted because usefulness depends on backend deployment, clip URL reachability, and model quality; no independently verifiable representative outputs are included, and the benchmark covers only one task, providing weak evidence of completeness or advantage over manual or alternative methods.

The skill file, evaluation manifests, benchmark report, and API examples provide auditable primary material, and the report records limited execution results. Six points are deducted because coverage is only one task and one attempt, with no verifiable CI workflow, comprehensive committed test suite, or real response samples; the benchmark claims cannot be independently reproduced from the supplied files, so the static score remains below the five-point ceiling.