--- name: interrogate description: "Use for \"interrogate\", \"adversarial review\", \"multi-model review\", \"challenge this\", \"stress test this code\", \"find blind spots\", or \"tear this apart\". Multiple LLM reviewers challenge changes from independent angles." disable-model-invocation: true --- # Interrogate Spawn one reviewer per configured model to adversarially review code changes. The adversarial signal comes from model diversity, not assigned personas. The deliverable is a synthesized verdict. Do NOT auto-apply changes. ## Step 1, Scope Identify what to review from context: - If the user points at specific files or a diff, use that. - If on a feature branch, run `git diff main...HEAD` (or the appropriate base branch) for the full changeset. - If the user's message references recent work, gather the relevant files. Package the diff or file contents with any surrounding context files the reviewers need to understand the code. ## Step 2, Intent Before spawning reviewers, state the intent in one clear paragraph from the user's message, commit messages, the PR description if one exists, and the code. If you're unsure about the intent, ask the user before proceeding. ## Step 3, Spawn Reviewers Launch all reviewers in a single message, one per entry on the `interrogate reviewers` line in `~/.claude/pstack/models.md`, labeled Reviewer A, B, and so on to match the entry count. If the file or that line is missing, use the table defaults. | Subagent | Default model | |----------|---------------| | Reviewer A | `inherit` | | Reviewer B | `codex` | An Agent reviewer gets `subagent_type: "general-purpose"`, "Do not edit files." in its prompt, and `model` set to its entry: omit it for `inherit`, and pass `opus`, `sonnet`, `haiku` or `fable` as is. A `codex` reviewer is a different model family. It runs the same filled prompt through the Codex CLI, read-only, per `CLAUDE-PORT.md` section 3, as a Bash call with `run_in_background: true` in the same message as the Agent calls; read its output file as that reviewer's result. Any other value falls back to `inherit`; say so. If codex is missing or fails, rerun that reviewer on `inherit` and say in the Reviewers section that the review was same-family. Do not block the review on it. Two Claude reviewers are a weaker diversity signal than one Claude and one codex; weight their agreement accordingly. Read `references/reviewer-prompt.md` and fill in the same template for every reviewer with the stated intent, the diff or file contents, the rubric from `references/rubric.md`, and the code-quality lens from `references/code-quality-review.md`. ## Step 4, Synthesize As results come back, build a unified picture. Parse every reviewer's findings. Merge findings that describe the same issue differently, and note which models raised each one. Findings two or more models raised independently are the highest signal. Read a lone model's finding, but weight it accordingly. Note disagreements. If one model flags something and another explicitly says the opposite, that is context for the verdict. ## Step 5, Lead Judgment You are the lead reviewer, a pragmatic senior engineer, not a neutral aggregator. Read `references/lead-judgment.md` for the full framework. Put every finding in one of four buckets, with the model(s) that raised it and a one-line rationale. - **Act on**. Real issues affecting correctness, security, or maintainability given the actual goals. They would block a real PR. - **Consider**. Legitimate, but you're not sure they outweigh the cost of addressing them now. Worth the user's attention. - **Noted**. Technically valid but not actionable. Context-dependent, premature optimization, or low-impact at this stage. - **Dismissed**. Wrong, nitpicky, or missing context, with a brief reason. ## Output Format ### Intent > [The stated intent paragraph from Step 2] ### Reviewers - Reviewer [label]: [model name], [N findings] (one bullet per reviewer) ### Act On [Each: description, which models raised it, why it matters.] ### Consider [Each: description, which models raised it, the tradeoff.] ### Noted [Brief list.] ### Dismissed [Each with a brief rationale.] ### Agreement Map [Where models agreed and diverged, and what that pattern tells us.]