Agent skill

Code Review Loop

by besimple-oss in besimple-oss/broccoli

Iterative review+fix loop for BASESHA..HEAD: generate findings, apply accepted fixes, run checks, commit, and re-review up to 3 iterations or until clean.

MITAuto-check passedDevelopment

Install Code Review Loop

skills CLI
$ npx skills add besimple-oss/broccoli --skill code-review-loop -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install besimple-oss/broccoli code-review-loop --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/besimple-oss/broccoli.git skills-src && mkdir -p .claude/skills && cp -r skills-src/prompt-templates/skills/code-review-loop .claude/skills/code-review-loop && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
code-review-loop
GitHub stars
286
Token cost
~1.6k tokens
SKILL.md length
674 words
Files
4 (incl. scripts, references)
Skills in repo
10
Repo updated
First seen
Licence
MIT

At a glance

Iterative review+fix loop for BASESHA..HEAD: generate findings, apply accepted fixes, run checks, commit, and re-review up to 3 iterations or until clean.

  • Tasks that involve Code review
  • SKILL.md covers Preconditions, Expected runtime, Why Claude sometimes looked… and Loop
  • Runs Python scripts from its folder; calls git, python3 and claude

What it does

Code Review Loop is an agent skill from besimple-oss/broccoli. Iterative review+fix loop for BASESHA..HEAD: generate findings, apply accepted fixes, run checks, commit, and re-review up to 3 iterations or until clean.

Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `references/prompts/code-review-responder-system.md`, `references/prompts/codex-review-prompt.md` and `scripts/run_review_loop.py`).

It sits in Development, covering Code review. It works with Git. The repository describes itself as: Broccoli turns Linear tickets into shipped PRs — powered by Claude and Codex, running on your own Google Cloud or Blaxel containers. The licence is MIT.

When your agent uses it

  • Tasks that involve Code review

Example prompts

  • “/code-review-loop”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit 6cad3b9. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • git
    • python3
    • claude

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Code Review Loop loads about 1.6k tokens when it runs, and up to ~3.4k if it reads all its reference files. Until then it costs about 43 tokens; SKILL.md has 674 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~43
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from besimple-oss/broccoli at commit 6cad3b9, republished under its MIT licence (© besimple-oss). 674 words, ~1,552 tokens.

Download SKILL.mdSave it as .claude/skills/code-review-loop/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
code-review-loop
description
Iterative review+fix loop for BASE_SHA..HEAD: generate findings, apply accepted fixes, run checks, commit, and re-review up to 3 iterations or until clean.

Code Review Loop (up to 3 iterations)

Input: a git base SHA (or other explicit range) to review against (for example: <sha> or HEAD~1).

Preconditions

  • Confirm you are in the intended repo: git rev-parse --show-toplevel
  • Ensure you have a base commit SHA (prefer the commit from before the change set).
    • If none was provided and you cannot choose confidently, ask the user for the correct base SHA.
  • Start from a clean working tree (recommended):
    • git status --porcelain should be empty.
    • If it’s not empty, either commit/stash first or ask the user what to do (don’t mix unrelated changes into review fixes).
  • Ensure both CLIs are available (codex and claude) because reviewer/responder must be different vendors.

Expected runtime

Typically runs 15–45 minutes, but allow at least 120 minutes.

Do not interrupt/restart the subagent if it looks stuck. The loop script owns stuck/timeout handling and will exit on its own when it completes or when --timeout is reached. Prefer watching the periodic heartbeat output (--heartbeat-seconds) instead of tailing logs.

Why Claude sometimes looked “stuck”

Claude Code print mode can be silent in --output-format text until it finishes (including during tool work). This repo defaults Claude subprocesses to --output-format stream-json --include-partial-messages so the wrapper sees measurable progress and inactivity timeouts mainly trigger on true hangs.

Loop

Run the review loop script:

bash
resolve_skill_dir() {
  local name="$1"
  local repo_root=""
  repo_root="$(git rev-parse --show-toplevel 2>/dev/null || pwd)"

  local candidates=(
    "$repo_root/.agents/skills/$name"
    "$repo_root/.claude/skills/$name"
    "$HOME/.agents/skills/$name"
    "$HOME/.codex/skills/$name"
    "$HOME/.claude/skills/$name"
  )

  for d in "${candidates[@]}"; do
    if [[ -d "$d" ]]; then
      echo "$d"
      return 0
    fi
  done

  echo "Error: skill '$name' not found in repo-scoped or user-scoped skill dirs." >&2
  return 1
}

CODE_REVIEW_LOOP_SKILL_DIR="$(resolve_skill_dir code-review-loop)"
python3 "$CODE_REVIEW_LOOP_SKILL_DIR/scripts/run_review_loop.py" <base-sha>

Options:

  • --max-iterations N (default: 3)
  • --cli codex|claude (pin responder provider; reviewer is selected from provider pool and always differs from responder)
  • --provider-pool codex,claude (provider pool for both subprocesses; reviewer/responder vendors are always distinct)
  • --codex-model-pool ... and --claude-model-pool ... (random model selection; supports model@effort)
  • --progress-log <path> and --heartbeat-seconds N
  • --artifacts-dir <path> (optional; stores reviewer outputs for responders to read)
  • --timeout N (per-subprocess timeout in seconds; default: 7200)
  • --review-only (responder does not apply fixes/commit)

Claude automation knobs (env vars; defaults shown):

  • PROMPT_TEMPLATES_CLAUDE_OUTPUT_FORMAT=stream-json (text|json|stream-json)
  • PROMPT_TEMPLATES_CLAUDE_MIN_VERSION=2.1.33 (fail fast if installed Claude Code is older)
  • PROMPT_TEMPLATES_CLAUDE_STREAM_LOG_MAX_BYTES=10485760 (per invocation; set 0 for unlimited)
  • PROMPT_TEMPLATES_CLAUDE_INACTIVITY_TIMEOUT_SECONDS=180 (set 0 to disable; in text/json mode it is disabled unless explicitly set)
  • PROMPT_TEMPLATES_CLAUDE_INACTIVITY_MIN_RUNTIME_SECONDS=30
  • PROMPT_TEMPLATES_CLAUDE_PROMPT_BUDGET_BYTES=0 (disabled by default; set >0 to enforce)

Behavior:

  • Each iteration runs in two fresh subprocesses:
    • Reviewer subprocess: selected from the provider pool and generates review findings from BASE_SHA..HEAD (it fetches the diff locally via git diff).
    • Responder subprocess: agrees/rejects findings and applies only agreed fixes (it fetches the diff locally via git diff and reads reviewer output from the artifacts dir).
  • The script enforces that reviewer and responder always run on different vendors (codex vs claude).
  • Claude subprocesses run in a native PTY (when available) to avoid non-termination/hang modes that require a TTY.
  • Claude subprocesses have an inactivity timeout; on classifiable Claude automation failures the script retries once.
  • If reviewer=claude fails after retry and responder is not pinned to codex, the script performs a role-swap fallback and re-runs the iteration with reviewer=codex,responder=claude (it prints a CLAUDE_FALLBACK: ... line when this happens).
  • Reviewer subprocesses stop early once a valid reviewer JSON object has been emitted (Codex) or once Claude emits a terminal type=result event (stream-json).
  • When the responder subprocess runs on Codex, it is invoked with --sandbox danger-full-access and -a never so it can run git commands (including committing fixes) without getting stuck on approvals or .git lock writes.
  • In non---review-only mode, the script enforces commit hygiene per iteration: if responder leaves working-tree fix changes, it auto-commits them before the next iteration; if responder accepts findings but produces no committed changes, the loop stops.
  • The script stops early when reviewer reports no findings, or when the responder agrees with none of the feedback.
  • After completion, it emits a required REVIEW_PROGRESS log summary including:
    • total iterations completed;
    • which iteration (if any) terminated early due to no feedback or no agreement.
  • Default model pools:
    • Codex: gpt-5.2@high
    • Claude: claude-opus-4-6[1m]@high
Show full SKILL.md (61 more words)Show less

Troubleshooting:

  • Look for CLAUDE_RETRY: / CLAUDE_FALLBACK: lines on stderr to confirm retry/fallback behavior.
  • Heartbeats include idle_seconds=... and byte counters; PTY mode uses pty_bytes=....
  • --progress-log may include full tool outputs (diffs, file contents). Treat it as sensitive; stream-json logs are truncated by default via PROMPT_TEMPLATES_CLAUDE_STREAM_LOG_MAX_BYTES.
  • If you see CLAUDE_FALLBACK_UNAVAILABLE: ... responder is pinned to codex, rerun with --cli claude to allow the role-swap fallback.

© besimple-oss, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (scripts, references) in prompt-templates/skills/code-review-loop of besimple-oss/broccoli.

  • SKILL.md
  • references/prompts/code-review-responder-system.md
  • references/prompts/codex-review-prompt.md
  • scripts/run_review_loop.py

Open the folder on GitHubat commit 6cad3b9

Compare with similar skills

Code Review Loop next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Code Review Loop compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Code Review Loop this skillbesimple-oss/broccoli286—~1.6kAutomated safety check: PassMIT
Code Review ChecklistshareAI-lab/learn-claude-code78k5 repos~1.1kAutomated safety check: PassMIT
Understand Diff AnalysisEgonex-AI/Understand-Anything85k1 repos~1.4kAutomated safety check: PassMIT
Open Code Review CLIalibaba/open-code-review44k—~3.1kAutomated safety check: PassApache-2.0
Open Code Review Delegatealibaba/open-code-review44k—~2kAutomated safety check: PassApache-2.0
PR Review State Fetchprisma/orm48k—~767Automated safety check: PassApache-2.0

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Works with

Categories

Questions about Code Review Loop

What does Code Review Loop do?

Iterative review+fix loop for BASESHA..HEAD: generate findings, apply accepted fixes, run checks, commit, and re-review up to 3 iterations or until clean. Code Review Loop is an agent skill from besimple-oss/broccoli.HEAD: generate findings, apply accepted fixes, run checks, commit, and re-review up to 3 iterations or until clean.

When should I use Code Review Loop?

Code Review Loop fits situations like: tasks that involve Code review.

How do I install Code Review Loop in Claude Code?

Run `npx skills add besimple-oss/broccoli --skill code-review-loop -a claude-code`. Or copy the skill folder (prompt-templates/skills/code-review-loop in besimple-oss/broccoli) into .claude/skills/code-review-loop in your project. Claude Code loads it when a task matches its description.

How do I install Code Review Loop in Codex?

Run `npx skills add besimple-oss/broccoli --skill code-review-loop -a codex`. Or copy the skill folder (prompt-templates/skills/code-review-loop in besimple-oss/broccoli) into .agents/skills/code-review-loop in your project. Codex loads it when a task matches its description.

Can I use Code Review Loop in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add besimple-oss/broccoli --skill code-review-loop -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/code-review-loop, .gemini/skills/code-review-loop, .github/skills/code-review-loop and .opencode/skills/code-review-loop in your project.

What does Code Review Loop need to run?

Going by SKILL.md and its folder, Code Review Loop needs Python for the scripts in its folder and the command-line tools its instructions call (git, python3 and claude). Our summary lists: Python 3.

Does Code Review Loop access the network?

SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Code Review Loop safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Code Review Loop use?

Code Review Loop is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Code Review Loop use?

About 1.6k tokens (SKILL.md is roughly 6.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.8k tokens, read only when the agent opens those files.

What are the alternatives to Code Review Loop?

Skills that share tags, products or a category with Code Review Loop: Code Review Checklist (shareAI-lab/learn-claude-code, 78k stars), Understand Diff Analysis (Egonex-AI/Understand-Anything, 85k stars), Open Code Review CLI (alibaba/open-code-review, 44k stars) and Open Code Review Delegate (alibaba/open-code-review, 44k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Code Review Loop?

besimple-oss (a GitHub organization) maintains it in besimple-oss/broccoli, which has 286 GitHub stars. The repository holds 10 skills in this directory. The repository was last updated on April 26, 2026.

Source: besimple-oss/broccoli on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.