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Code review deep

Skill oprogramadorreal/optimus-claude/skills/code-review-deep

Primes your project for peak Claude Code performance

Install
npx -y skills add oprogramadorreal/optimus-claude --skill code-review-deep

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What its author says it does

Copied from the file, not written here

Iterative auto-fix code review — runs `/optimus:code-review` in a fresh subagent context per iteration, applies fixes, runs tests, bisects failures, and continues until convergence or the iteration cap (default 8, hard cap 20). Creates a git checkpoint commit after each iteration (skip with --no-commit). Requires a test command in .claude/CLAUDE.md. Use when single-pass review leaves issues or for thorough cleanup before a release.

SKILL.md

10.3 KB, as published. Nobody here has run it

Code Review (Deep)

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.

Step 1: Parse Arguments and Guard Against Re-entry

Re-entry guard

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.

Parse invocation arguments

Extract from the user's arguments:

  1. --resume flag (present/absent)
  2. --no-commit flag (present/absent)
  3. --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.
  4. --max-iterations N (optional, default 8, hard cap 20)
  5. --allow-red-baseline flag (present/absent) — proceed even if the Step 4 pre-loop baseline finds the suite already failing
  6. Everything else → scope text. An existing path scopes the review to that path; any other text (e.g. "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 commits
  • claude -p "/optimus:code-review-deep --yes 'src/auth'" → headless / CI usage; skips the Step 3 confirmation prompt

Step 2: Pre-flight Checks

Plugin root

Resolve 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):

  1. Run echo $CLAUDE_PLUGIN_ROOT via Bash. If it is non-empty and <value>/scripts/harness_common exists (test -d), use it.
  2. Otherwise derive the root from the "Base directory for this skill:" line in your invocation context — strip the trailing /skills/... segment (this skill's own directory) — and use it if <derived>/scripts/harness_common exists.
  3. If neither candidate contains 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.

Documentation prerequisites

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."

Test command

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.

Git state

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.

Step 3: User Confirmation

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-test first 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?":

  • Proceed — "Run iterative review-fix until clean (max [N] iterations)"
  • Cancel — "Don't run deep mode"

If the user selects Cancel, stop.

Step 4: Initialize or Resume Progress

Read $CLAUDE_PLUGIN_ROOT/references/harness-init-resume.md and apply its shared init/resume semantics — the resume invocation and cap raising, init error recovery (a prior run is discarded by re-invoking init with --force), --no-commit persistence, and .done.json archival — with these parameters:

  • <progress-path> = .claude/code-review-deep-progress.json
  • <cap-flag> = --max-iterations

On fresh run

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 "."

Establish a green baseline

Skip on --resume only when the prior run completed at least one iteration — then the baseline already ran and its calibrated timeout is persisted. Check the progress file's single iteration.completed field (a targeted read — do not load the findings array into context): if it is 0, the prior run never entered the loop (it stopped at baseline-red, or was interrupted at or before the first iteration), and resume never re-checks the baseline — run the command below after resume (green required, or --allow-red per the user) before entering the loop. 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).

Step 5: Run the Iteration Loop

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 1

Brief, 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.

Step 6: Final Report

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.

Important

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.

Tip

Resume and archive semantics — raising the cap on --resume, the diminishing-returns un-archived exception — are stated in Step 4 and Step 6.

A run that finished cleanly (convergence / cap) was archived to .done.json, so --resume no longer finds it (resume 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.

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