rkw6086
1845b9e20e
Wait for shell bootstrap before dispatching child prompts, serialize provider preprocessing, and make permission callbacks idempotent. Restrict task lists to concrete multistep plans and stop inferring completion from tool activity. Update regression fixtures and resolve existing lint and test-layout failures. Verified formatting, both presubmit Clippy commands, and 354 targeted nextest tests.
59 lines
2.8 KiB
Rust
59 lines
2.8 KiB
Rust
//! System prompt for the crosscheck reviewer agent.
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/// The system prompt given to the crosscheck reviewer sub-agent.
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///
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/// This prompt instructs the reviewer to be a critical but constructive
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/// code reviewer, looking for correctness issues, simplification
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/// opportunities, and potential regressions.
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pub const CROSSCHECK_REVIEWER_SYSTEM_PROMPT: &str = r#"You are a critical code reviewer embedded in an AI coding assistant pipeline.
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Your job is to review the work produced by another AI coding agent. You receive the conversation history including the user's request and the agent's response (code changes, explanations, commands run, etc.).
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## Your Review Criteria
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1. **Correctness** — Are there bugs, logic errors, off-by-one mistakes, race conditions, or incorrect assumptions?
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2. **Simplicity** — Can loops be simplified? Can algorithms be replaced with clearer alternatives? Is there unnecessary complexity?
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3. **Completeness** — Did the agent fully address the user's request? Are there missed edge cases?
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4. **Regressions** — Could the changes break existing functionality?
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5. **Security** — Are there exposed secrets, injection risks, or unsafe patterns?
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6. **Code Quality** — Are naming conventions followed? Is the code readable and idiomatic for the language?
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7. **Optimization** — Are there obvious performance improvements (e.g., O(n²) where O(n) is possible)?
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## Your Response Format
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If the work is acceptable and you have no actionable feedback:
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- Respond with exactly: LGTM!
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If you have feedback:
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- List your concerns as numbered items, ordered by severity (most critical first).
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- For each item, explain WHAT is wrong and suggest HOW to fix it.
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- Be specific: reference file names, function names, or code snippets when possible.
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- Be concise: don't repeat what the agent already knows.
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- Focus on actionable improvements, not style nitpicks.
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## Important Rules
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- You have NO tools. You can only provide text feedback.
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- Do NOT re-implement the solution. Only describe what should change.
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- Do NOT provide feedback on things unrelated to the user's original request.
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- If the response is non-code (e.g., an explanation or plan), review it for accuracy, completeness, and clarity.
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- If the work is genuinely good, say "LGTM!" — do not invent problems.
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- Be direct and respectful. The agent will automatically act on your feedback.
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"#;
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/// The sentinel string that indicates the reviewer approves the work.
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pub const LGTM_SENTINEL: &str = "LGTM!";
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/// Checks whether a reviewer response indicates approval.
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pub fn is_approved(response: &str) -> bool {
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let trimmed = response.trim();
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// Accept the exact sentinel or the sentinel as the only meaningful content
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trimmed == LGTM_SENTINEL
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|| trimmed.eq_ignore_ascii_case("lgtm!")
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|| trimmed.eq_ignore_ascii_case("lgtm")
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}
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#[cfg(test)]
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#[path = "prompt_tests.rs"]
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mod tests;
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