Build a held-out eval set, run it on every prompt/model change, and block regressions in CI. An LM change is a code change — gate it with a test suite (eval set + metric + threshold). Cross-framework SOP not surfaced by any single base skill.
$npx -y skills add agentsope/skillalchemy --skill agentsop-regression-gateInstalls into the current project.
Run `npx skills use "https://github.com/agentsope/skillalchemy" --skill "agentsope/skillalchemy/agentsop-regression-gate"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/agentsope/skillalchemy" that are relevant to the current task. Run `npx skills add "https://github.com/agentsope/skillalchemy"` and select the relevant skills, then follow their instructions.