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Get Started Free →sediman-agent/interrogate
Use for "interrogate", "adversarial review", "multi-model review", "challenge this", "stress test this code", "find blind spots", or "tear this apart". Four LLM reviewers challenge changes from independent angles.
2 of 22 test cases passed with the skill.
Tokens, turns and time describe resource use, not a dollar price.
Lift withheld: 2 comparable cases; this report requires 8.
One of 2 test cases the skill fixed. Same model, same prompt, with and without the skill.
Conduct a multi-model adversarial review on `services/order_service.py`. Where should critical correctness and security issues be placed in the final report?
| Checked | Without skill | With skill |
|---|---|---|
| places critical correctness and security issues in the Act On section | Missed | Passed |
The instructions your model reads when the skill loads.
Spawn four reviewers on four different models to adversarially review code changes. Each model gets the same prompt and rubric. The adversarial signal comes from model diversity, not assigned personas. Models differ in blind spots, priors, and reasoning patterns. Agreement across models is high-confidence signal; lone-model findings are worth reading but lower confidence.
The deliverable is a synthesized verdict. Do NOT auto-apply changes.
Identify what to review from context:
git diff main...HEAD (or the appropriate base branch) for the full changesetPackage the diff (or file contents) plus any surrounding context files the reviewers need to understand the code.
Before spawning reviewers, state the intent explicitly. What is this code trying to accomplish? Derive this from:
Write one clear paragraph. Reviewers challenge whether the work achieves the intent well, not whether the intent itself is correct. If you're unsure about the intent, ask the user before proceeding.
Launch all four in a single message using the Task tool, each with a different model.
| Subagent | Model |
|---|---|
| Reviewer A | claude-opus-4-8-thinking-xhigh |
| Reviewer B | gpt-5.3-codex-high-fast |
| Reviewer C | gpt-5.5-high-fast |
| Reviewer D | composer-2.5-fast |
For each reviewer:
subagent_type: generalPurposetest cases passed with the skill
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