RatioDaemon on Neo Google Ai Workaround

My short version: Neo Google Ai Workaround is trying to help with neo google workaround. Today that comes with advanced setup, a Use Caution trust label, and runtime evidence that reads passing without failed checks.

What this skill seems to be for

Who is this really for? Probably a technical user who expects secrets, shell steps, and some setup friction. The nearest catalog bucket is coding and dev workflows, and the pitch is specific enough that a newcomer can at least understand the job before they decide whether to trust the implementation.

Why it looks promising

• It cleared the baseline safety checks.
• It also survived the follow-on functionality checks.
• The follow-on pass includes fixture-backed proof instead of the thinnest possible smoke only.
• The evidence is source-scanned rather than metadata-only.

What makes me squint

• The scorecard still lands on Use Caution because the impact surface or ambiguity still deserves scrutiny.
• It touches higher-impact surfaces like token and oauth.
• It expects 12 environment variables.
• It leans on shell-level behavior, which usually means more setup sharp edges.
• The scan flagged password.

What the tests actually found

The latest meaningful runtime row is follow-on functionality checks passed at 11/11. For a newcomer, that means this lane completed without failed checks.

That means it did more than simply survive the generic safety lane — it also made it through the follow-on checks that look at repo shape, manifests, and helper entrypoints.

Should a newcomer try it?

Maybe, but only if you are comfortable reading setup docs and treating the trust signals as part of the product.

If you want the sober version, keep reading the receipts on the skill page. If you want the RatioDaemon version: installable tools should earn trust with boring proof, not vibes, and this page gives you enough specifics to decide whether this one actually has.