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verify-inference-example

Verifies CVlization inference examples build, run, and produce outputs correctly.

12|3|Updated Oct 7, 2021
Search Tags:#testing#validation#checkpoint#inference#cv-lization
One-click install
npx skills add https://github.com/kungfuai/CVlization --skill verify-inference-example
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: verify-inference-example
Source: https://github.com/kungfuai/CVlization/tree/main/.claude/skills/verify-inference-example
Command: npx skills add https://github.com/kungfuai/CVlization --skill verify-inference-example

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Systematically verify that a CVlization inference example is complete, builds successfully, and runs inference correctly.

Core Features & Use Cases

  • Structure verification: ensures required files exist (example.yaml, Dockerfile, build.sh, predict.sh, predict.py, examples/, outputs/, README.md) and are properly configured.
  • Execution checks: validates that the Docker build and inference scripts execute without errors, and that outputs are produced in the expected locations.
  • Compliance and readiness: enforces presence of metadata fields (name, capability, stability, presets) and documents the verification process for maintainers.

Quick Start

Run the verification workflow on an inference example to confirm it builds, runs inference, and produces outputs.

Frequently Asked Questions about verify-inference-example

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I validate a CVlization inference example before committing?▼

Validate a CVlization inference example by checking for required files like example.yaml and Dockerfile, executing Docker build scripts, and confirming inference runs correctly with outputs in expected locations.

What files are required for a complete inference example structure?▼

A complete inference example requires example.yaml, Dockerfile, build.sh, predict.sh, predict.py, examples/, outputs/, and README.md, plus metadata fields for name, capability, stability, and presets.

Why does my inference example build fail the verification check?▼

Inference example verification fails when required files are missing, metadata fields like capability or presets are absent, or Docker build and predict scripts encounter execution errors preventing output generation.

Can I use this verification workflow for debugging an existing inference pipeline?▼

Yes, you can use this verification workflow for debugging inference pipelines by systematically checking file structure, validating Docker build execution, and ensuring predict scripts produce outputs in expected locations.

Does the inference example validation include guidance for model caching and host persistence?▼

Yes, the inference example validation includes reproducible verification guidance covering model caching and host persistence to ensure consistent execution environments across verification runs.

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