honest-review

Research-driven code review. Every finding validated with evidence. 4-wave pipeline: Triage → Analysis → Research → Judge.

| Empty + changes in session (git diff) | Session review of changed files | | Empty + no changes (first message) | Full codebase audit | | File or directory path | Scoped review of that path | | "audit" | Force full codebase audit | | PR number/URL | Review PR changes (gh pr diff) | | Git range (HEAD3..HEAD) | Review changes in that range |

Confidence-calibrated reporting: Every finding carries a confidence score (0.0-1.0). Confidence ≥ 0.7: report. Confidence 0.3-0.7: report as "unconfirmed". Confidence < 0.3: discard (except P0/S0).

Research-driven code review at multiple abstraction levels with strengths acknowledgment, creative review lenses, AI code smell detection, and severity calibration by project type. Two modes: (1) Session review — review and verify changes using parallel reviewers that research-validate every assumption; (2) Full codebase audit — deep end-to-end evaluation using parallel teams of subagent-spawning reviewers. Use when reviewing changes, verifying work quality, auditing a codebase, validating correctness, checking assumptions, finding defects, reducing complexity. NOT for writing new code, explaining code, or benchmarking. Source: wyattowalsh/agents.