A command that asks several AI models to create implementation plans independently, then compares and combines them.

Use it to review how a coding task should be implemented, compare proposed steps, and approve a stronger shared plan.

It exposes different approaches and helps resolve disagreements before work starts.

plan-review — Command for Claude Code by AltimateAI/claude-consensus

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Clone the repo

git clone --depth 1 https://github.com/AltimateAI/claude-consensus

Made for: Claude Code.

Or install consensus, the plugin that ships this one along with the rest of its 8 skills, 4 commands.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/commands/altimateai/claude-consensus/plan-review/github.svg)](https://agentmods.dev/commands/altimateai/claude-consensus/plan-review)

Your own site

<a href="https://agentmods.dev/commands/altimateai/claude-consensus/plan-review"><img src="https://agentmods.dev/badge/commands/altimateai/claude-consensus/plan-review/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/commands/altimateai/claude-consensus/plan-review"><img src="https://agentmods.dev/badge/commands/altimateai/claude-consensus/plan-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 19 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 6,627 The whole file, excluding the scripts and references it only reads on demand.

Security scan B 1 finding. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00019	$0.06627
Opus 5.5	$0.00008	$0.02651
Sonnet 5.5	$0.00004	$0.01325
Haiku 4.5	$0.00002	$0.00663

Measured 4d ago against content hash f23117c9f854, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade B, and why

plan-review scanned grade B with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Reads agent configuration directoriesmediumAgent snooping

.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.

[ -f ~/.claude/.env ] && export OPENROUTER_API_KEY=$(grep '^OPENROUTER_API_KEY=' ~/.claude/.env | cut -d= -f2- | tr -d '"')

plugins/consensus/commands/plan-review.md · 517 lines

How it starts

The opening of the file, as written. The whole thing — 517 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Multi-Model Plan Review

Get independent implementation plans from multiple AI models (Claude + configured external models), compare them, and converge on the strongest plan through structured synthesis and approval rounds.

Compaction Resilience

This is a long-running command. Context compaction may erase in-memory state mid-run.

Check resume: Glob data/scratch/active-progress-consensus-plan-review-*.md — find any with Status IN_PROGRESS and < 24h old. If found, read its SESSION_DIR and skip to first unchecked goal. If Status is COMPLETED or FAILED, ignore it.
Write progress: After creating SESSION_DIR, create a unique progress file: data/scratch/active-progress-consensus-plan-review-{SESSION_ID}.md (where SESSION_ID is the random suffix from SESSION_DIR, e.g. X4f2kL)
Mark done: Set Status to COMPLETED at end of successful run, or FAILED on abort
Save incrementally: Write/append to $SESSION_DIR files after each phase, not at the end

Goals Template

# consensus:plan-review — {TASK}
Started: [timestamp]
Status: IN_PROGRESS
Command: consensus:plan-review
SESSION_DIR: {SESSION_DIR path}
TTL: 24h

## Goals
- [ ] Phase 1 — Setup: load config, write task prompt, copy plan file if needed, create team
- [ ] Phase 2 — Spawn planners: launch teammate agents + write Claude's plan
- [ ] Phase 3 — Collect plans: wait for all models to send their plans
- [ ] Phase 4 — Analyze & compare: build comparison table, identify consensus approach
- [ ] Phase 5 — Synthesize: draft unified implementation plan
- [ ] Phase 6 — Convergence: send draft to all models, collect APPROVE/CHANGES NEEDED
- [ ] Phase 7 — Write final plan with attribution table, cleanup team

## Progress
- [HH:MM] Starting execution...

Checkpoints

After Phase 2: Claude's plan written to $SESSION_DIR/claude.md
After Phase 3: All model plans on disk at $SESSION_DIR/{model.id}.md
After Phase 5: Draft plan at $SESSION_DIR/draft.md
After Phase 6: Convergence responses at $SESSION_DIR/{model.id}-convergence.md

Read the full file on GitHub · 517 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

4d ago Changed · +2 lines f23117c9f854
2mo ago First seen · 515 lines · 19 tokens per session scan B afaa8f21c6e5

Subscribe to this mod's changes

plan-review is a command published in the GitHub repository AltimateAI/claude-consensus (33 stars, last pushed 4d ago), licensed MIT. It adds 19 tokens to every session and 6,627 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Claude Code Code review Planning ai claude-plugin consensus developer-tools

plan-review next to 6 commands from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
plan-reviewAltimateAI/claude-consensus	Command	33	4d ago	MIT	B	19	Claude Code
review-pryonatangross/orchestkit	Command	299	today	MIT	A	48	Claude Code, Cursor
assessyonatangross/orchestkit	Command	299	today	MIT	A	57	Claude Code, Cursor
iterate-planyonatangross/orchestkit	Command	299	today	MIT	A	38	Claude Code, Cursor
review-artifact-commentsyonatangross/orchestkit	Command	299	today	MIT	A	45	Claude Code, Cursor
review-prMadaraUchiha-314/the-loop	Command	8	8d ago	MIT	A	34	Claude Code
clean-checkTeamManagementPlugin/claude-plugin	Command	6	24d ago	MIT	A	27	Claude Code

plan-review