inference-vendor-lock-in-scorer

Score vendor lock-in across agent and skill manifests.

4|1|Updated Apr 11, 2026
One-click install
npx skills add https://github.com/m2ai-portfolio/m2ai-skills-pack --skill inference-vendor-lock-in-scorer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: inference-vendor-lock-in-scorer
Source: https://github.com/m2ai-portfolio/m2ai-skills-pack/tree/main/skills/inference-vendor-lock-in-scorer
Command: npx skills add https://github.com/m2ai-portfolio/m2ai-skills-pack --skill inference-vendor-lock-in-scorer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps teams identify and quantify vendor lock-in exposure across agent and skill manifests, enabling portable architectures and smoother migrations.

Core Features & Use Cases

  • Lock-in scoring: analyzes artifacts to produce a per-artifact score across model naming, API surface portability, fallback availability, and key management.
  • Remediation queue: generates prioritized steps to reduce lock-in before migrations.
  • Scoping & reports: supports scanning a path of skills or agent configs to prepare migration plans.

Quick Start

Run the Inference Vendor Lock-In Scorer against your skills folder to generate a prioritized remediation queue.

Frequently Asked Questions about inference-vendor-lock-in-scorer

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

FAQPage Schema
How do I assess vendor lock-in exposure across agent and skill manifests?

To assess vendor lock-in exposure, scan your skill directories and agent configurations to surface portability risks. This process generates a per-artifact score across four dimensions: model name configurability, API portability, fallback provisions, and key management, producing a prioritized remediation queue.

What is vendor lock-in scoring for portable architectures?

Vendor lock-in scoring analyzes artifacts to quantify portability risks across model naming, API surface portability, fallback availability, and key management. It helps teams maintain portable architectures and plan smoother migrations by identifying dependencies before they become problematic.

How do I generate a prioritized remediation queue for portability risks?

Generate a prioritized remediation queue by running a scan against your skills folder or agent configs. The analysis evaluates lock-in dimensions and outputs prioritized steps to reduce exposure, enabling teams to address the most critical portability risks before starting migrations.

Can I scan agent configurations to prepare migration plans for model portability?

Yes, you can scan agent configurations and skill paths to prepare migration plans. The scan evaluates model name configurability and API surface portability to identify dependencies, providing a structured report that supports portable architecture transitions and smoother migrations.

What dimensions are evaluated when scoring API portability and fallback provisions?

Scoring evaluates four dimensions: model name configurability, API surface portability, fallback provisions, and key management. Each artifact receives a per-dimension score to quantify vendor lock-in exposure, generating a prioritized remediation queue to reduce dependencies.

Does vendor lock-in scoring work for skills without fallback provisions or configurable key management?

Yes, vendor lock-in scoring evaluates artifacts regardless of their current state. Artifacts lacking fallback provisions or configurable key management receive lower portability scores, flagging them as higher priority in the remediation queue to address before migrations.