Best fit
A maintainer needs a code-review queue before a model change, or has sourced migration rules to evaluate against a reviewed deployment inventory.
// agent-native
Model Migration Checker
Review model-version coupling in code, or compare reviewed deployments against exact, dated provider, platform and endpoint migration rules.
Prefer Gumroad? Get Model Migration Checker for $15 USD on Gumroad. Review checkout for tax or currency conversion.
Access: Agent-loaded on Agensi, not a standalone app. Downloadable access applies only where a separate download offer is linked. Package version 1.1.1.
Package requirements: Python 3.10 or newer; standard library only. A terminal, or an agent that can read SKILL.md and run local Python. For a downloadable package, extract the complete folder before use.
You get: Heuristic scanner, editable patterns, separate scoped-rule evaluator, fixtures, tests and rule-contract guidance.
Licence and purchase details
Review the package licence and seller terms at checkout. An AI-agent subscription or setup service is not included.
Agensi access: In a creator test on October 17, 2026, Claude retrieved this package’s helper and required supporting files through Agensi and executed synthetic cases in its local Python sandbox. This was not Agensi-hosted execution, a complete package test, or a guarantee for other hosts. Local setup examples below apply to the separate downloadable package.
Try the included example first
For the separately obtained downloadable package, extract the entire ZIP, keep scripts and references together, and open a terminal in the extracted skill folder. On Windows, use py -3 instead of python if needed.
python scripts/scan_model_migration.py fixtures/risky-sampleWhat you should see
The packaged risky fixture returns eleven findings for model IDs, coupling and review candidates. The max_tokens and functions matches are REVIEW_CANDIDATE findings, not confirmed deprecations. Exact endpoint and provider evidence are needed for the separate scoped-rule assessment.
Then use your own evidence
Review findings before changing code. For the separate scoped mode, read references/scoped-rules.md and use scripts/evaluate_scoped_rules.py with your reviewed deployment and dated source rules. The package does not fetch current provider rules.
Reviewed non-secret local source for the heuristic scan; supplied deployment and dated rule records for the separate scoped evaluator. No provider calls or source authentication.
Not an automatic migration, a current provider-rules database, or proof that a parameter is deprecated or a migration is safe. Missing, linked or unreadable inputs must not be treated as a clean result.
// choose with context
Is Model Migration Checker the right skill?
It returns
Heuristic code findings, or a separate scoped rule report with APPLIES, DOES_NOT_APPLY and UNKNOWN_SCOPE decisions.
Do not use it as
Not an automatic migration, a current provider-rules database, or proof that a parameter is deprecated or a migration is safe.
Compatibility, access, version, and licence
- Reads or accesses
- Reviewed non-secret local source for the heuristic scan; supplied deployment and dated rule records for the separate scoped evaluator. No provider calls or source authentication.
- Compatibility
- Python 3.10 or newer; standard library only. A terminal, or an agent that can read SKILL.md and run local Python. For a downloadable package, extract the complete folder before use.
- Version
- Agensi: package v1.1.1 (platform release v1.3). Gumroad download: v1.1.1. Checked October 22, 2026.
- Licence
- Review the package licence and seller terms at the linked destination.
Questions
Does this stay current automatically?
No. Heuristic patterns are editable, and scoped rules need dated sources and exact provider, platform and endpoint scope. Keep them current yourself; a matched parameter alone does not prove deprecation.
Review the evidence before changing models.
Choose your access route above and start with a reviewed example.
Get the Model Migration Checker on Agensi