From optimus
Iterative auto-fix code review loop that runs review-fix-test cycles in isolated subagents until convergence or iteration cap. Use for thorough cleanup before release.
How this skill is triggered — by the user, by Claude, or both
Slash command
/optimus:code-review-deep [path] [--resume] [--yes] [--max-iterations N][path] [--resume] [--yes] [--max-iterations N]The summary Claude sees in its skill listing — used to decide when to auto-load this skill
Orchestrate `/optimus:code-review` in an iterative auto-fix loop. Each iteration runs in a fresh subagent context, so the loop is not bounded by single-conversation context decay. All state lives in `.claude/code-review-deep-progress.json`. The orchestrator skill itself stays slim — it dispatches subagents, parses their structured output, and uses the `harness_common.cli` helper to apply fixes,...
Orchestrate /optimus:code-review in an iterative auto-fix loop. Each iteration runs in a fresh subagent context, so the loop is not bounded by single-conversation context decay. All state lives in .claude/code-review-deep-progress.json. The orchestrator skill itself stays slim — it dispatches subagents, parses their structured output, and uses the harness_common.cli helper to apply fixes, run tests, bisect failures, and decide termination.
If your invocation prompt body already contains HARNESS_MODE_INLINE, stop immediately with: "Deep mode cannot run inside deep mode." This prevents a misbehaving subagent from spawning a recursive deep run.
Extract from the user's arguments:
--resume flag (present/absent)--no-commit flag (present/absent)--yes flag (present/absent) — auto-confirm the Step 3 prompt; required when invoked under claude -p or any other non-interactive session that cannot answer AskUserQuestion.--max-iterations N (optional, default 8, hard cap 20)--allow-red-baseline flag (present/absent) — proceed even if the Step 4 pre-loop baseline finds the suite already failing"focus on src/auth") is recorded as intent only — it does not filter the diff, so the full branch diff is still reviewed.Examples:
/optimus:code-review-deep → 8 iterations on the branch diff/optimus:code-review-deep --max-iterations 12 → 12 iterations/optimus:code-review-deep src/auth → scope the review to an existing path/optimus:code-review-deep --resume → continue from existing progress file/optimus:code-review-deep --no-commit → skip per-iteration checkpoint commitsclaude -p "/optimus:code-review-deep --yes 'src/auth'" → headless / CI usage; skips the Step 3 confirmation promptResolve plugin_root (the absolute path to the installed plugin) and keep it for every CLI call and subagent dispatch below — the env var does not persist across separate Bash tool calls and reads empty on some platforms (notably Windows):
echo $CLAUDE_PLUGIN_ROOT via Bash. If it is non-empty and <value>/scripts/harness_common exists (test -d), use it./skills/... segment (this skill's own directory) — and use it if <derived>/scripts/harness_common exists.scripts/harness_common, stop: "Cannot resolve plugin root — ensure optimus-claude is installed via the Claude Code plugin system."Wherever the steps below (and orchestrator-loop-*.md) write $CLAUDE_PLUGIN_ROOT, use this resolved plugin_root; if echo $CLAUDE_PLUGIN_ROOT was empty, substitute the absolute path literally.
Read $CLAUDE_PLUGIN_ROOT/skills/init/references/prerequisite-check.md and apply the prerequisite check. If .claude/CLAUDE.md is missing, stop: "Deep mode requires /optimus:init to set up project context first."
Read .claude/CLAUDE.md and capture the documented test command verbatim — store the exact string (e.g. npm test, pytest) as test_command. If none is documented, stop and recommend /optimus:init to set one up first. You pass this captured command to init in Step 4 via --test-command; init can also parse .claude/CLAUDE.md itself, but its parser is stricter than a human read, so passing the command you just read avoids a spurious "No test command found" failure on a command the CLI can't parse.
Run git status --porcelain via Bash. On a fresh (non---resume) run, refuse to proceed if the working tree has uncommitted changes (except when --no-commit is passed) — uncommitted state would be ambiguous with the orchestrator's own per-iteration commits.
On --resume, the existing progress file's _snapshot.pre_head is the recovery anchor; uncommitted state is preserved.
Skip this step entirely when --resume is given, or when --yes is given (headless / CI: the caller has pre-approved the run).
Warn the user with:
Deep mode runs up to [N] iterative review-fix passes. Each iteration spawns a fresh subagent — credit and time consumption multiplies with iteration count. Fixes are applied automatically at each iteration without per-change approval. Low test coverage increases the chance of undetected breakage; consider running
/optimus:unit-testfirst to strengthen the safety net. Press Esc twice to interrupt — state is saved per-iteration; resume with/optimus:code-review-deep --resume.Test command:
[test command]Mid-iteration interrupts may leave the working tree inconsistent; clean iterations are fully recoverable via
--resume.
Use AskUserQuestion — header "Deep code review", question "Proceed with deep code review?":
If the user selects Cancel, stop.
--resumePYTHONPATH="$CLAUDE_PLUGIN_ROOT/scripts" python -m harness_common.cli resume \
--progress-file ".claude/code-review-deep-progress.json" \
[--max-iterations N] \
--project-dir "."
If exit code is non-zero, surface the error and stop. Pass --max-iterations N through when the user supplied a higher cap on --resume — resume raises the persisted iteration cap (and clears a prior diminishing-returns stop) so the loop continues past the previous limit.
PYTHONPATH="$CLAUDE_PLUGIN_ROOT/scripts" python -m harness_common.cli init \
--skill code-review \
--max-iterations [N] \
--test-command "<test_command>" \
[--scope "<scope>"] \
[--no-commit] \
--progress-file ".claude/code-review-deep-progress.json" \
--project-dir "."
Pass --no-commit through to init when the user supplied it — the mode is persisted in the progress file, so --resume keeps it without re-passing the flag (and commit-checkpoint self-skips regardless).
If exit code is non-zero, surface the error and stop. Likely errors:
--resume to continue the prior run, or re-invoke this skill with --force to discard the prior progress and start fresh..claude/CLAUDE.md does not document a test command. Recommend /optimus:init.If the user explicitly wants to discard a prior run, pass --force to cli.py init (no separate user-visible orchestrator flag is needed — the CLI's --force is sufficient).
Skip on --resume — the baseline already ran and the calibrated timeout is persisted. On a fresh run, after init succeeds, verify the suite is green before the loop:
PYTHONPATH="$CLAUDE_PLUGIN_ROOT/scripts" python -m harness_common.cli baseline \
--progress-file ".claude/code-review-deep-progress.json" \
[--allow-red]
baseline runs the test command once and calibrates the per-iteration timeout from how long it takes (so a slow suite, re-run repeatedly during bisection, doesn't spuriously time out). It prints baseline-green (continue) or, on a failing suite, baseline-red with a non-zero exit. On baseline-red, stop and show the user the failing tests — a red starting tree makes bisection blame the iteration's fixes and revert good work. Pass --allow-red only when the user supplied --allow-red-baseline (proceed without a green safety net; the timeout is left at its default).
Read $CLAUDE_PLUGIN_ROOT/references/orchestrator-loop-single.md and follow its 8-step per-iteration body, with these parameters:
<base-skill> = code-review<progress-path> = .claude/code-review-deep-progress.json<max> = the iteration cap from Step 1Brief, single-line status updates per iteration are appropriate (e.g., "Iteration 3/8: dispatching subagent…" then "Iteration 3/8: applied 5 fixes, 2 reverted, tests pass."). Do not narrate the subagent's findings in conversation prose — the report at Step 6 covers them.
PYTHONPATH="$CLAUDE_PLUGIN_ROOT/scripts" python -m harness_common.cli final-report \
--progress-file ".claude/code-review-deep-progress.json" \
--archive
This prints the cumulative report (fixed / reverted / persistent counts, per-finding table, termination reason, git rollback guidance) and moves the progress file to .done.json so a stray --resume cannot pick up a completed run. Exception: on a diminishing-returns soft-exit the CLI leaves the active progress file in place (prints not-archived) so the run stays resumable via --resume, matching that termination's "re-run to continue" guidance.
The orchestrator skill applies fixes automatically across all iterations; user approval is recorded once at Step 3 and stands for the whole loop. The base skill's harness-mode protocol is the source of truth for which fixes get applied.
Recommend the user run /optimus:commit next, followed by /optimus:pr once the branch is ready. Tell the user: Tip: stay in this conversation when running /optimus:commit and /optimus:pr so the implementation context is captured. Other downstream skills (/optimus:code-review, /optimus:unit-test) should still run in fresh conversations.
--resume continues a run whose progress file is still on disk — after an interrupt, or after a diminishing-returns soft-exit (the CLI leaves that run un-archived). /optimus:code-review-deep --resume --max-iterations <new-cap> raises the cap and continues in the same branch.
A run that finished cleanly (convergence / cap) was archived to .done.json, so --resume no longer finds it (init would report no progress file). For a fresh second-opinion pass after that — e.g. after pulling new changes — just re-run /optimus:code-review-deep (optionally --max-iterations <cap>); it starts a new run and, on a clean tree, converges on the first iteration.
npx claudepluginhub oprogramadorreal/optimus-claude --plugin optimusIteratively reviews code for critical issues with code-reviewer, auto-fixes via fixer agent, verifies tests pass, repeats up to 5 cycles until clean.
Iterative code review loop that runs multiple rounds of review and auto-fixes, using /deep-review for safe inline fixes and /big-plan for larger changes. Deferred findings can become GitHub issues.
Iterative review-fix loop for the current branch — reviews via daemon, fixes inline, re-reviews until passing or max iterations reached.