#baby $BABY After spending enough time in BTCFi, you’ll discover something pretty mind-blowing: **people are willing to hand over millions of dollars’ worth of BTC to a protocol, but very few can clearly explain where the protocol’s risks actually lie.**

Ask someone why they chose a particular BTC lending strategy, and they’ll most likely tell you, “Because a lot of people use it,” or “Because big institutions invested in it.” That’s not risk analysis—that’s conformity.

In May, @BabylonLabs_io published a risk assessment framework called **SCRIPT**. This piece didn’t get much discussion, but I believe it’s one of the most important documents in the BTCFi space this year—not because it says something earth-shattering, but because it gives you a set of usable tools.

SCRIPT breaks down Bitcoin collateral risk into six dimensions: **Sovereignty (sovereignty), Clarity (clarity), Reuse Prohibited (prohibit re-collateralization), Isolation (isolation), Permissionless (permissionless), Transparency (transparency)**.

Apply this framework to existing schemes, and you’ll see things much more clearly.

WBTC: complete loss of sovereignty (BitGo controls the private keys), high transparency (on-chain reserves can be audited), and the re-collateralization risk depends on BitGo’s internal operations. Sovereignty scores 0.

Cross-chain bridges: sovereignty is handed to a multi-sig committee, isolation is poor (liquidity is pooled), and transparency depends on the bridge’s design. Sovereignty and Isolation both score low.

What about TBV itself? Using the same framework for scoring: Sovereignty is high (BTC always remains within Taproot scripts, with ownership staying yours), Isolation is high (each vault has independent UTXOs), Reuse Prohibited is guaranteed (the scripts restrict withdrawal paths), Clarity is high (the rules are hard-coded in advance). But there are two points worth noting—on the Permissionless dimension, challengers and arbitrageurs are permissioned, so it doesn’t get a perfect score; on the Transparency dimension, on-chain data is publicly verifiable, but the application-facing integration layer requires additional review.

The best part about SCRIPT isn’t that it gives TBV a high score—it’s that it publishes the scoring criteria. You can use it to evaluate any protocol, including Babylon’s. A team that’s willing to publish the tools for assessing itself and encourages you to use them to find vulnerabilities is worth taking seriously, far more than a team that only says, “If you don’t understand, invest anyway.”

#baby $BABY