Generally speaking you should be able to do something like that in AGENTS, I am really surprised that you have had an issue with most LLMs today getting them to follow a standard for SDLC. Personally, I like conventional commits a lot.
I really wish that was true. All agents find some way to break the rules, and leave messages for their future selves.
The agents always find a way to include some forms of hedging, contradictions, future-looking documentation (which doesn't age well), etc. into git messages.
I found having an extra gate (husky/pre-commit hook), even if it's not as good as I want it to be improves the quality of how the AI writes substantially.
The cost of it not being very good is the agents now spend more time validating the claims of the validator. It's actually hilarious to witness.
I have been using local models for this final verification, which is partly why they're not that great. It's also why I decided to train my own.
It's been a great, fun learning experience. I learn almost everything via building. So why change a recipe that works :)
Local models are not at all comparable to Claude to me, and I have used them: Qwen, DeepSeek, Minimax, Stepfun, Nemotron. None of them as good as Claude Fabel.
If your model is not adhering to AGENTS.md again I am really curious what exact model you are using. I am really just astonished that whatever model you are using is ignoring a clearly defined git conventions standards in your AGENTS.md in 2026.
It's been much more reliable to just have Codex rewrite all the prose at the end of a Claude task than to keep futzing with my prompts/memory/agents.md (On certain issues I can't get Codex to be as thorough on the actual implementation, c'est la vie.)