Agent skill

Plan Critique Loop

by besimple-oss in besimple-oss/broccoli

Critique and revise an existing plan doc up to 3 iterations, using accept/reject triage and stopping early when no important feedback remains.

MITAuto-check passedDevelopment

Install Plan Critique Loop

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

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

GitHub CLI
$ gh skill install besimple-oss/broccoli plan-critique-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/plan-critique-loop .claude/skills/plan-critique-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
plan-critique-loop
GitHub stars
286
Token cost
~1.4k tokens
SKILL.md length
554 words
Files
4 (incl. scripts, references)
Skills in repo
10
Repo updated
First seen
Licence
MIT

At a glance

Critique and revise an existing plan doc up to 3 iterations, using accept/reject triage and stopping early when no important feedback remains.

  • Refining a plan/.md before implementation
  • 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

Plan Critique Loop is an agent skill from besimple-oss/broccoli. Critique and revise an existing plan doc up to 3 iterations, using accept/reject triage and stopping early when no important feedback remains. Use when refining a plan/.md before implementation.

Its SKILL.md is about 1.4k 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/plan-critique-update.md`, `references/prompts/plan-critique.md` and `scripts/run_critique_loop.py`).

It sits in Development. 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

  • Refining a plan/.md before implementation

Example prompts

  • “/plan-critique-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

Plan Critique Loop loads about 1.4k tokens when it runs, and up to ~1.8k if it reads all its reference files. Until then it costs about 54 tokens; SKILL.md has 554 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~54
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.8k

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). 554 words, ~1,356 tokens.

Download SKILL.mdSave it as .claude/skills/plan-critique-loop/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
plan-critique-loop
description
Critique and revise an existing plan doc up to 3 iterations, using accept/reject triage and stopping early when no important feedback remains. Use when refining a plan/*.md before implementation.

Plan Critique Loop (up to 3 iterations)

Input: an existing plan doc path (for example: plan/my-feature.md).

Preconditions

  • Confirm you are in the intended repo: git rev-parse --show-toplevel
  • Confirm the plan doc exists: test -f <plan-doc-path>
  • Ensure git can create commits before running the loop (user.name/user.email configured).
  • Do not start implementation in this skill; only critique and revise the plan.
  • Ensure both CLIs are available (codex and claude) because critic/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.

If you use --progress-log, do not tail -f it into the main context unless you must debug; prefer checking progress via log line counts (for example: wc -l <progress-log>) and/or the heartbeat counters.

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 critique 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
}

PLAN_CRITIQUE_LOOP_SKILL_DIR="$(resolve_skill_dir plan-critique-loop)"
python3 "$PLAN_CRITIQUE_LOOP_SKILL_DIR/scripts/run_critique_loop.py" <plan-doc-path>

Options:

  • --max-iterations N (default: 3)
  • --cli codex|claude (pin responder provider; critic is selected from provider pool and always differs from responder)
  • --provider-pool codex,claude (provider pool for both subprocesses; critic/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 critic outputs for responders to read)
  • --timeout N (per-subprocess timeout in seconds; default: 7200)

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:
    • Critic subprocess: selected from the provider pool and generates critique feedback (it reads the plan doc from disk).
    • Responder subprocess: triages critic feedback (agree/reject) and applies only agreed edits using the selected responder provider/model (it reads the plan doc from disk and reads critic output from the artifacts dir).
  • The script enforces that critic and responder always run on different vendors (codex vs claude).
  • Any subprocess that runs on Codex is invoked with --sandbox danger-full-access, -a never, and --search.
  • Claude subprocesses run in non-interactive mode with --dangerously-skip-permissions, in a native PTY (when available), and have an inactivity timeout.
  • On classifiable Claude automation failures the script retries once. If critic=claude fails after retry and responder is not pinned to codex, it performs a role-swap fallback and re-runs the iteration with critic=codex,responder=claude.
  • After each iteration, the script stages and commits plan-file edits (if any) before starting the next iteration.
  • The script stops early when responder reports no actionable feedback.
  • No manual accept/reject input is required for the loop to revise the plan.
  • After completion, it appends a deterministic changelog block to the plan doc recording:
    • total iterations executed;
    • which iteration (if any) stopped due to no feedback.
  • Default model pools:
    • Codex: gpt-5.2@high
    • Claude: claude-opus-4-6[1m]@high
Show full SKILL.md (23 more words)Show less

Troubleshooting:

  • --progress-log may include full tool outputs (plan contents, file contents). Treat it as sensitive; stream-json logs are truncated by default via PROMPT_TEMPLATES_CLAUDE_STREAM_LOG_MAX_BYTES.

© 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/plan-critique-loop of besimple-oss/broccoli.

  • SKILL.md
  • references/prompts/plan-critique-update.md
  • references/prompts/plan-critique.md
  • scripts/run_critique_loop.py

Open the folder on GitHubat commit 6cad3b9

Compare with similar skills

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Code Review ChecklistshareAI-lab/learn-claude-code78k5 repos~1.1kAutomated safety check: PassMIT

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Categories

Questions about Plan Critique Loop

What does Plan Critique Loop do?

Critique and revise an existing plan doc up to 3 iterations, using accept/reject triage and stopping early when no important feedback remains. Plan Critique Loop is an agent skill from besimple-oss/broccoli. Critique and revise an existing plan doc up to 3 iterations, using accept/reject triage and stopping early when no important feedback remains.

When should I use Plan Critique Loop?

Plan Critique Loop fits situations like: refining a plan/.md before implementation.

How do I install Plan Critique Loop in Claude Code?

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

How do I install Plan Critique Loop in Codex?

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

Can I use Plan Critique 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 plan-critique-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/plan-critique-loop, .gemini/skills/plan-critique-loop, .github/skills/plan-critique-loop and .opencode/skills/plan-critique-loop in your project.

What does Plan Critique Loop need to run?

Going by SKILL.md and its folder, Plan Critique 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 Plan Critique 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 Plan Critique 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 Plan Critique Loop use?

Plan Critique 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 Plan Critique Loop use?

About 1.4k tokens (SKILL.md is roughly 5.4k 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 437 tokens, read only when the agent opens those files.

What are the alternatives to Plan Critique Loop?

Skills that share tags, products or a category with Plan Critique Loop: Vercel Composition Patterns (supabase/supabase, 111k stars), Finishing a Development Branch (obra/superpowers, 297k stars), Typescript Advanced Types (rolling-scopes/rsschool-app, 10k stars) and PR Babysitter (openinterpreter/openinterpreter, 69k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Plan Critique 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.