Who it is forA team lead or security-minded developer who needs to explain or review an approval that an AI reviewer allowed or denied.
The problemWhen an agent action is approved or blocked automatically, it is hard to tell which evidence and which rule produced the decision.
The outcomeThe reviewer's decision is traced from the session log through the events approval/asked, autoReview/verdict or autoReview/rejection, and approval/decided, with the reason attached.
What you need first
- DeepSeek Harness (dsh) installed, with a profile named web or another profile of your choice
- Harness version compatible with the plugin (the README lists dsh-v0.2.1-rc.2 as verified)
- Network access to install from GitHub or npm
- pnpm, only if you use the tarball channel or need to approve native build scripts
Steps
- Install the plugin if it is not present:
dsh plugin --profile web add dsh-auto-review - Run
/auto-review statusin the session to see recent verdicts and fallbacks - Open the session log and find the approval/asked event for the request you want to check
- Follow the chain to the matching autoReview/verdict or autoReview/rejection event, then to approval/decided
- Read the reviewer reason and riskLevel in the verdict and confirm the final decision matches it
Prompt for your agent
Using the repo PerryLink/dsh-auto-review, locate in the session log of <session-id> the approval/asked event for the request named <request-id>, then follow it to the autoReview/verdict or autoReview/rejection event and the approval/decided event. Report the decision, the reviewer reason, and the riskLevel. Verify that the final approval/decided outcome matches the verdict, and flag any mismatch.
Caveat. The audit chain depends on the session log keeping these events, and the README notes that allowUnmarkedAudit changes how hosts handle unmarked events, so check that setting before relying on the log.
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