gza-plan-review

gza-plan-review is a skill for Claude Code from mhawthorne/gza. It costs 24 tokens per session (1,133 once invoked), scanned A, original, MIT.

An interactive quality check for a completed planning task before software implementation starts.

In plain words
What is it for?
It helps inspect a Gza plan task and its history, ask targeted review questions, and recommend whether implementation should proceed.
Why use it?
It exposes unclear scope, missing requirements, dependencies, or weak plans before coding begins.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: names the AskUserQuestion tool.

Good fit It helps inspect a Gza plan task and its history, ask targeted review questions, and recommend whether implementation should proceed.

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Install with agentmods
npx agentmods add skills/mhawthorne/gza/gza-plan-review
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.

Any agent
npx skills add mhawthorne/gza --skill gza-plan-review
Clone the repo
git clone --depth 1 https://github.com/mhawthorne/gza

Made for: Claude Code.

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.

agentmods badge for gza-plan-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/mhawthorne/gza/gza-plan-review/github.svg)](https://agentmods.dev/skills/mhawthorne/gza/gza-plan-review)
Your own site
<a href="https://agentmods.dev/skills/mhawthorne/gza/gza-plan-review"><img src="https://agentmods.dev/badge/skills/mhawthorne/gza/gza-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.

agentmods 80×15 button for gza-plan-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/mhawthorne/gza/gza-plan-review"><img src="https://agentmods.dev/badge/skills/mhawthorne/gza/gza-plan-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 24 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,133 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00024 $0.01133
Opus 5 $0.00012 $0.00566
Sonnet 5 $0.00005 $0.00227
Haiku 4.5 $0.00002 $0.00113

Measured 11d ago against content hash 535465bfa4a9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

gza-plan-review scanned grade A with 0 findings 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 11d 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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

src/gza/skills/gza-plan-review/SKILL.md · 144 lines

How it starts

The opening of the file, as written. The whole thing — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Gza Plan Review

Run an interactive plan quality gate for a specific plan task before implementation starts.

Inputs

  • Required: full prefixed plan task ID (for example, gza-1234)

If the user did not provide a task ID, ask for it before proceeding.

Use the full prefixed task ID for all gza commands.

Process

Step 1: Inspect the task with built-in gza commands

Run these commands with the provided task ID:

uv run gza show <TASK_ID>
uv run gza log <TASK_ID>
uv run gza history --type plan --limit 10

Use this output to verify:

  • task exists
  • task type is plan
  • task status (completed is required for a Go recommendation)
  • final plan output and any failure context
  • nearby plan/review history for dependencies and precedent

If the task is not found or is not a plan task, stop and return a no-go with corrective actions.

Step 2: Run the interactive quality gate

Use AskUserQuestion to evaluate each gate area. Ask concise, targeted questions and confirm assumptions explicitly.

Gate areas:

  1. Scope clarity
  • Is the problem statement specific?
  • Are boundaries and out-of-scope items explicit?
  • Are impacted components/files identified?
  1. Acceptance criteria
  • Are there concrete, testable success criteria?
  • Are behavior, edge cases, and failure modes covered?
  • Is "done" unambiguous for implementation and review?
  1. Risks
  • Are technical/product risks identified and ranked?
  • Are mitigation steps or fallback paths defined?
  • Are unknowns called out with a way to resolve them?
  1. Dependencies
  • Are task dependencies (other gza tasks, systems, data, approvals) listed?
  • Are dependency states known (ready, blocked, unknown)?
  • Is sequencing clear enough to avoid rework?
  1. Test strategy
  • Are required test types named (unit/integration/e2e as relevant)?
  • Are key scenarios and regressions enumerated?
  • Is verification command strategy clear for implementation work?

Step 3: Score and decide

Assign each gate area one status:

  • Pass - sufficient for implementation
  • Needs work - gaps exist but are fixable
  • Fail - critical blocker

Read the full file on GitHub · 144 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.

  1. 11d ago First seen · 144 lines · 24 tokens per session scan A 535465bfa4a9

Subscribe to this mod's changes

gza-plan-review is a skill published in the GitHub repository mhawthorne/gza (12 stars, last pushed today), licensed MIT. It adds 24 tokens to every session and 1,133 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.