Model Onboarding Compatibility Pack 20260830 v1.0

What It Does

Model Onboarding Compatibility Pack helps teams validate whether a new model has enough onboarding evidence for controlled agent use. It checks redacted notes for model identity, runtime requirements, resource budgets, context limits, tool-calling tests, structured-output tests, fallback plans, and acceptance signoff.

The skill runs offline and read-only. It produces a compatibility readiness report without calling model endpoints, changing routing, or handling credentials.

Use Cases

• Platform teams onboarding a new local, hosted, or third-party model into an agent stack.
• QA teams checking that tool calling, structured output, fallback, and resource evidence are covered.
• Governance reviewers who need a repeatable compatibility score before approving model use.

Requirements

• Python 3 with standard library only.
• No model API keys, network access, provider credentials, or live routing permissions required.
• OpenClaw workspace with redacted model onboarding notes.

Example Usage

python3 scripts/model_onboarding_compatibility_pack.py --notes path/to/redacted-model-notes.txt --json

Expected output is JSON containing status, compatibility checklist coverage, evidence, risks, recommendations, and mutated_files: [].

Price

$4.99