SKILLEMALL.ai
GitHub ↗ RU Sign in

AF vss-setup-video-analytics-api

Use to deploy the vss-video-analytics-api REST service standalone (config-source, data-log bind, Elasticsearch, optional Kafka). Not for full warehouse deploy.

ClawHub Agent Skills author: NVIDIA 1 file body ≈ 2 197 tokens Open the sourceclawhub.ai↗ analyzed 26 h ago

Use to deploy the vss-video-analytics-api REST service standalone (config-source, data-log bind, Elasticsearch, optional Kafka).

As a process F 56/100 · Will not run — References files that are not bundled: references/deploy-video-analytics-api-service.md, references/configuration.md, references/ngc-api-key-registry-login.md

IntegrationDockerData and analyticsMedia and videotype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
75
Run on models
none yet
Process rating
F
56/100
Will not run
References files that are not bundled: references/deploy-video-analytics-api-service.md, references/configuration.md, references/ngc-api-key-registry-login.md
Tools and files w 18
0
Result and completion w 14
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 1. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/deploy-video-analytics-api-service.md
  • warning missing-ref reference to a missing file: references/configuration.md
  • warning missing-ref reference to a missing file: references/ngc-api-key-registry-login.md

Process rating: all ten parameters 56/100

Will not run. References files that are not bundled: references/deploy-video-analytics-api-service.md, references/configuration.md, references/ngc-api-key-registry-login.md
  • 0Tools and files. 3 referenced file(s) missing: references/deploy-video-analytics-api-service.md, references/configuration.md, references/ngc-api-key-registry-login.md
  • 0Result and completion. Does not say what the result is
  • 30Running it twice. 29 mutating operations with no state check
  • 50When it triggers. No condition that starts the skill
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 27 steps
  • 100Failures and branches. 5 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2197 tokens
  • 100Progress reporting. Reports progress
  • low 11 top-level sections: this looks like several domains in one skill

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +3Output format is not stated: the model decides each time
  • -2localhost URLs: will not work for another user
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +3Description length 159: enough signal without eating the budget
  • +4Structure: 15 headings
  • +3Step-by-step instructions: 27 items
  • +4Has examples (2 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.