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mmrlisted

Multi-model code review — dispatch, poll, and collect results from multiple AI model CLIs
zigrivers/scaffold · ★ 3 · AI & Automation · score 72
Install: claude install-skill zigrivers/scaffold
# mmr — Multi-Model Review Dispatch code reviews to multiple AI model CLIs, poll for results, and collect reconciled findings with severity gating. ## Quick Reference `mmr review` works for any review target — not just PRs. Pick the input mode that matches what you want reviewed: ```bash # GitHub PR (fetches diff via `gh pr diff`) mmr review --pr <number> --focus "description of what to focus on" # Staged git changes (pre-commit review) mmr review --staged --focus "..." # All tracked uncommitted changes (staged + unstaged) — excludes untracked # files; use `scaffold run review-code` for full-worktree coverage git diff HEAD | mmr review --diff - --focus "..." # Branch diff / ref range mmr review --base main --head <branch> --focus "..." # Changes to a specific tracked file since HEAD (pending edits only). # If the file has no local changes this pipeline sends an empty diff # and MMR will refuse with "no diff content"; use the next form instead # to review the file's current contents regardless of git state. git diff HEAD -- path/to/file.md | mmr review --diff - --focus "..." # A file's current contents, regardless of git state (tracked-with-no- # changes, untracked, or brand-new). Synthesizes an "all added" diff. # `|| true` is required: diff exits 1 whenever files differ, which breaks # pipelines under `set -o pipefail`. (diff -u /dev/null path/to/file.md || true) | mmr review --diff - --focus "..." # Existing patch or diff file mmr review --diff path/to/changes.pat