Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/mister-gnommer-plan-review
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/plan-review
What's inside
- Skill name
plan-review- Description
- Multi-model plan review via 1–3 subagents. Use ONLY when the user explicitly asks to start plan review, review the plan, or similar while working on an implementation plan — never auto-invoke.
- License
- MIT
- Instructions
- 225 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Plan Review **Announce at start:** "I'm using the plan-review skill to review this plan." ## When to Use **ONLY** when the user explicitly requests plan review (e.g. "start plan review", "review the plan", "run plan review"). Do **not** auto-invoke after writing a plan. Do **not** substitute this for the self-review in `writing-plans`. ## Core Principle **Under any circumstances, never skip even one subagent finding — including the stupidest ones.** Every finding must be tracked, addressed in the plan, or explicitly pushed back with reasoning. No silent dismissals. No "that's obvious" shortcuts. --- ## Step 1: Decide Review Panel Size | Complexity | Agents | When | |------------|--------|------| | **1** | 1 reviewer | Single file/area, small scope, low risk | | **2** | 2 reviewers | Multiple files or subsystems, moderate risk | | **3** | 3 reviewers | Cross-cutting change, new patterns, high risk, or many rules/skills involved | When uncertain, prefer **more** reviewers over fewer. --- ## Step 2: Select Models Use **different but comparable** models across reviewers. Resolve tier → model via the global main rule (`low-tier`, `medium-tier`, `high-tier`, `highest-tier`); do not hardcode model names here. At dispatch, pick an explicit slug from the Task tool's allowed list. | Reviewer | Tier | |----------|------| | Reviewer 1 (always) | Same tier as the agent that wrote the plan | | Reviewer 2 (if used) | `medium-tier` | | Reviewer 3 (if used) | `low-tier` | **Rules:** - Reviewer 1: match the planner's tier; prefer a different model family when possible - If reviewer 1 would be `high-tier` or `highest-tier`, ask first (global main rule) — requesting plan review alone does not authorize those tiers - Reviewers must still differ from each other; never assign the same model to two reviewers - Without permission, reviewers 2–3 stay on `medium-tier` / `low-tier` only --- ## Step 3: Prepare Context Packet Build one shared context block. Attach the **full plan** (path or inline). Include: ```markdown ## Plan Review Context ### Business requirements [What problem this solves, user-facing behavior, success criteria] ### Engineering requirements [Constraints, non-functional reqs, compatibility, rollout, observability] ### Important input [Spec excerpts, prior decisions, user preferences, known risks, open questions] ### Plan under review Path: `[exact/path/to/plan.md]` (or paste full plan if not saved yet) ### Scope summary - Files/systems touched: [...] - Estimated complexity: [low | medium | high] - Why N reviewers: [1–3 sentence justification] ``` Do **not** dump full session history. Give reviewers what they need to evaluate the plan, not your reasoning process. --- ## Step 4: Dispatch Review Subagents Launch **1–3 subagents in parallel** (one message, multiple `Subagent` calls). Use `subagent_type: "generalPurpose"` or a domain-specific type when clearly better (e.g. `security-reviewer`, `architect`, `code-reviewer`). Each subagent prompt must include the context packet plus: ```markdown You are Plan Reviewer [N] ([model name]). Review this implementation plan — do NOT implement it. ## Your job 1. **Scope & changes** — What will be created, modified, deleted? Missing files? Wrong boundaries? 2. **Rules** — Check ALL applicable rules: - User rules (global) - Project rules (`.cursor/rules/`, `AGENTS.md`, workspace rules) - Directory-scoped rules for every path the plan touches 3. **Skills & agents** — Identify every skill/subagent the plan should reference or invoke during execution (e.g. `preflight-unit-tests-check`, `review-security`, `preview-env-curl-testing`, `security-reviewer`). Flag missing or wrong ones. 4. **Plan quality** — Gaps vs requirements, placeholders/TBDs, task ordering, test strategy, rollback, edge cases. 5. **Risk** — What could go wrong? What's underspecified? ## Output format (required) ### Summary [2–3 sentences] ### Findings Number every finding. Use severity: - 🔴 **Blocker** — Plan must change before execution - 🟡 **Important** — Should fix; execution risk if ignored - 🟢 **Minor** — Nice to fix; low risk For each finding: - **ID:** R[N]-F[number] (e.g. R1-F3) - **Severity:** - **Category:** scope | rules | skills | testing | architecture | requirements | other - **Finding:** [specific issue] - **Evidence:** [quote plan section or rule/skill name] - **Recommendation:** [concrete fix] ### Strengths [What the plan does well]
From mister-gnommer/rules-of-engagement, MIT.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 4
- Last commit (this folder)
- Sep 26, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from mister-gnommer
- 0.570score
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Transcribe a local audio or video file (mp3, m4a, wav, ogg, flac, mp4, mov, webm, ...) to text, fully offline, using faster-whisper.
SkillAFreshness: AClaude Code +9 - 0.565score
grill-me-with-ledger
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A relentless interview (grilling) that offers lettered-choice bulk replies and keeps a running decision ledger.
SkillAFreshness: AClaude Code +9 - 0.565score
parallel-plan
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Creates implementation plans designed for multiple parallel AI agents using exclusive file ownership, dependency waves, integration barriers, parallel…
SkillAFreshness: AClaude Code +9 - 0.565score
pragmatic-code-review
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Pragmatic, business-focused code review — safety-strict, style-lenient.
SkillAFreshness: AClaude Code +9 - 0.565score
sync-setup
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Syncs this machine's core rules wiring with the rules-of-engagement repo, updates all installed skills, and optionally installs the user's listed third-party…
SkillAFreshness: AClaude Code +9 - 0.561score
background-work
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Delegate long-running work to background subagents while continuing the main conversation, such as planning the next change during OpenSpec Apply.
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Cite this page
plan-review skill. Agent Mart. https://agentmart.dev/skills/mister-gnommer-plan-review (last updated 2026-10-24)