Cross-Agent Model Onboarding Pack 20260819 v1.0

What it does

Cross-Agent Model Onboarding Pack helps teams check whether a new model is ready to be used across agent workflows. It turns redacted onboarding notes into a clear readiness result so operators can see whether model identity, access, tests, limits, fallback, failure evidence, and rollback coverage are in place.

Use cases

• Agent platform teams preparing a new model/provider route before wider rollout.
• Operations leads who need repeatable evidence for model capability, limits, fallback, and rollback.
• Governance reviewers checking whether onboarding notes are complete enough for downstream approval.

Requirements

• Python 3 standard library only.
• No API keys required.
• OpenClaw workspace with the skill installed and local redacted notes or direct text input available.

Example usage

Run the analyzer against redacted onboarding evidence:

python3 scripts/cross_agent_model_onboarding_pack.py --notes redacted-model-onboarding.md --json

Expected output is JSON with a readiness verdict such as PASS, REVIEW, BLOCKED, or ERROR, evidence signal coverage, and mutated_files: [].

Price

$4.99