If my agent only triggers re-delegation in rare circumstances (once a month, say), does this low-frequency delegation chain not need much concern?
A low trigger frequency does reduce the proportion of time you're actually exposed to this risk, but that doesn't mean it can be ignored entirely. What genuinely deserves attention isn't how often it happens, but how large a scale is involved each time it does. If this low-frequency re-delegation happens to be the key step handling the largest position in your fund pool (a monthly large-scale cross-chain rebalancing, say), even with a low occurrence frequency, the exposure amount each time might actually be the most concentrated piece of your overall risk.
When evaluating this in practice, it's best to look at both dimensions — occurrence frequency and per-occurrence exposure amount — together, rather than frequency alone. A low-frequency, small-amount delegation chain link genuinely can be placed lower in your audit priority; but a low-frequency, large-amount link, even with few triggers, still deserves enough audit resources invested to confirm the safety of the entire chain.
Step Three mentions "checking on-chain transaction records" — how does an ordinary user actually do this, and what technical background is needed?
You don't need a coding background, but it does require some patience and basic block explorer navigation skills. In practice: first get the wallet addresses of both the parent agent and the sub-agent it re-delegates to (usually findable in the product's technical documentation or on-chain activity disclosure), then use a block explorer (like Etherscan) to look up the sub-agent's address's historical transaction records, observing whether the range of contracts it's actually interacted with and the transaction types match the scope the parent agent claims to have delegated to it.
This process genuinely takes time, and if the volume of transaction records is large, checking every single one isn't realistic — a more practical approach is spot-checking: pick a handful of representative transactions and confirm whether any obviously exceed the claimed scope, rather than requiring yourself to review the entire history. If even one transaction in your spot check clearly doesn't match the claimed authorization scope, that alone is enough to constitute a warning sign worth pushing on further, or even reconsidering whether to keep using this product.
If a platform refuses to provide a sub-agent's wallet address or delegation-chain-related technical details, citing trade secrets, is that reasonable?
This situation follows similar judgment logic to the "strategy core logic confidentiality" discussion earlier in this series: completely refusing to reveal any delegation-chain-related information, citing trade secrets, goes beyond a reasonable level of confidentiality. Genuine trade secrets are usually things like a solver's specific algorithm or the details of a particular arbitrage strategy — content directly tied to competitive advantage. But information like a sub-agent's wallet address, or whether the permission-narrowing logic during re-delegation has been verified, is directly tied to user fund safety, and a responsible platform is usually both capable of and should be willing to provide it, since this kind of information doesn't itself leak the platform's core competitive edge, while directly bearing on whether a user can make an informed risk judgment.
If a platform also invokes trade secrets to avoid this kind of safety-related information, that avoidance itself is a signal worth adding to your risk assessment checklist — it indicates the platform, when choosing between transparency and a user's right to informed risk assessment, has leaned toward protecting itself rather than protecting the user.
After walking through these five steps, if I find this delegation chain genuinely has an obvious risk gap, but I've already authorized and used this product for a while, how do I remediate it?
The first step is assessing how urgent this risk gap is — if the verification process reveals a sub-agent's actual operating scope clearly exceeds what the parent agent claims to have authorized it for, that's a relatively urgent signal; it's worth immediately using the kill switch mechanism discussed earlier in this series to suspend authorization, stopping further exposure first, then deciding afterward whether to fully revoke authorization. If it's just insufficient information disclosure without concrete evidence of abnormal operations found, you could consider lowering your authorized spending cap first while continuing to observe, without necessarily needing to fully revoke immediately.
Whatever response you take, this experience is worth turning into a priority check item for evaluating new products going forward — moving "delegation chain auditing" up to before you decide to commit a larger amount, rather than remembering to do it only after you've already been using a product for a while and your position size has already grown.
This series has already introduced agent-to-agent settlement and delegation chain risk at a conceptual level. This article focuses on the actual operational side: if you're using or evaluating a DeFAI product with multi-agent collaboration capability, how do you audit, step by step, an entire delegation chain you may never have directly seen — rather than stopping at just "knowing this risk exists."
Not every DeFAI product has agent-to-agent settlement capability. The first step should be directly checking technical documentation or asking support: does this agent re-delegate part of its authority or tasks to other agents? If the answer is no, you can skip the rest of this article's audit steps; if the answer is yes, or the platform can't give a clear answer, you need to move into the deeper audit process.
Understand under what circumstances this agent triggers re-delegation — does it always outsource to a specific sub-agent every single execution, or only under specific conditions (needing a cross-chain operation, or a specific type of data analysis, for example)? The higher the trigger frequency and the more diverse the sub-agents involved, the more delegation chain links you need to audit, and the harder your overall risk exposure is to grasp.
This is the most technically demanding step in the entire audit process: confirm that when a parent agent re-delegates to a sub-agent, the actual authority scope the sub-agent receives is verified to only ever be a subset of the parent agent's authority. If a platform provides a delegation chain visualization tool or technical documentation detailing this narrowing logic, reference it directly; if not, try observing a sub-agent's historical actual operating scope from publicly available on-chain transaction records, checking whether it matches the scope the parent agent claims to have delegated.
Go back and check the spending cap you originally set on your session key — does that cap's calculation logic already include "indirect payments the parent agent makes to sub-agents," or does it only account for the "direct transaction" amount you originally assumed? If these two are calculated separately with no unified cap, your actual maximum possible exposure could be far higher than the number you originally set.
Confirm whether the platform has any vetting mechanism for which sub-agents a parent agent is allowed to collaborate with — can it only interact with a whitelist of sub-agents the platform has itself vetted, or is it completely open, letting any third-party agent meeting a certain technical spec join the delegation chain? The more rigorous the vetting mechanism, the lower the unknown downstream risk you need to additionally worry about.
If, after walking through these five steps, you find this product's delegation chain is relatively transparent, its fund cap is calculated reasonably, and there's a clear sub-agent vetting mechanism, that means this product's risk control at the multi-agent collaboration layer is relatively mature, and you can maintain your original position planning; if any step turns up no clear answer, that information gap itself should directly inform how much you're willing to commit — the less transparent a delegation chain, the more conservative the position size should be.