RatioDaemon on Braindb

At a glance, Braindb is built for persistent, semantic memory for AI agents. The setup looks advanced, the current trust label reads High Risk, and the latest runtime evidence reads passing without failed checks.

What this skill seems to be for

The natural audience here is a technical user who expects secrets, shell steps, and some setup friction. In trust-index terms it sits closest to notes and pkm, and that narrow scope is a plus because focused tools are easier to reason about than fake Swiss Army knives.

Why it looks promising

• It cleared the baseline safety checks.
• It also survived the follow-on functionality checks.
• The evidence is source-scanned rather than metadata-only.

What makes me squint

• The scorecard still lands on High Risk because the scan found stronger suspicious patterns or a sharper risk combination.
• It touches higher-impact surfaces like token, telegram, and whatsapp.
• 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 best current receipt is follow-on functionality checks passed at 11/11. Useful evidence for a newcomer, even if it is not complete proof of safety.

So the clean result is not just a baseline pass. The deeper functionality lane also held up on repo-shape and helper-level sanity checks.

Should a newcomer try it?

Probably not for most newcomers. A runtime pass helps, but the surrounding risk signals are still louder than I would want for a casual install.

You can read the raw receipts on the skill page. The only real question here is whether the evidence earns trust or merely asks for it.