gan-planner

gan-planner is a skill for Claude Code, Codex from RaNDoM6913/claude-code-superkit. It costs 35 tokens per session (2,041 once invoked), scanned A, original, MIT.

A planning skill for turning a feature brief into testable scenarios and acceptance criteria for an automated evaluator.

In plain words
What is it for?
Use it to create Playwright-checkable plans that cover what users see, application state, saved data, response timing, and scoring criteria.
Why use it?
It makes expected behavior explicit, including what should happen in successful, empty, failing, and authentication-required situations.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/random6913/claude-code-superkit/gan-planner
Any agent
npx skills add RaNDoM6913/claude-code-superkit --skill gan-planner
Clone the repo
git clone --depth 1 https://github.com/RaNDoM6913/claude-code-superkit

Made for: Claude Code, Codex.

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 gan-planner

README.md
[![agentmods](https://agentmods.dev/badge/skills/random6913/claude-code-superkit/gan-planner.svg)](https://agentmods.dev/skills/random6913/claude-code-superkit/gan-planner)
Your own site
<a href="https://agentmods.dev/skills/random6913/claude-code-superkit/gan-planner"><img src="https://agentmods.dev/badge/skills/random6913/claude-code-superkit/gan-planner.svg" alt="Measured on agentmods" height="20"></a>
Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,041 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00035 $0.02041
Opus 5 $0.00017 $0.01020
Sonnet 5 $0.00007 $0.00408
Haiku 4.5 $0.00003 $0.00204

Measured yesterday against content hash f27125b661a0, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

gan-planner 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 yesterday.

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.

packages/gan/skills/gan-planner/SKILL.md · 205 lines

How it starts

The opening of the file, as written. The whole thing — 205 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GAN Planner

Step 1 of 3 in the GAN (Generative Adversarial Network) harness. Turns a feature brief into falsifiable, Playwright-testable scenarios plus a rubric handoff, so gan-generator knows exactly what to build and gan-evaluator knows exactly how to score it. Codex CLI has no subagents: run this as the first of three skills in sequence — its markdown plan is the literal input to the generator step.

Hard Rules

  • Every scenario MUST carry all four assertion types: visual, state, persistence, timing.
  • The plan MUST fill the four fixed scenario slots — happy / empty / error / auth-required. A slot may read N/A — <reason> only when it genuinely cannot apply (e.g., auth-required on a fully public page).
  • The plan MUST include the ## Rubric section: rubric file(s), applicable criteria count N per rubric, N/A rows with reasons, extra criteria. gan-evaluator scores X / N from this section — omitting it breaks the loop.
  • NEVER pause to ask the user mid-run. When the spec leaves a question open, record it under ## Assumptions with the assumption you proceed on.
  • Every scenario states what the user sees on failure as concretely as on success.
  • Name the exact Playwright test file path the generator must create.

Phase 0 — Load Project Context

Read if present, skip silently if absent:

  1. CLAUDE.md / AGENTS.md — project conventions, test setup
  2. playwright.config.* — what's already wired up
  3. Existing tests in tests/e2e/ or e2e/ — reuse patterns and helpers
  4. Rubric files in .claude/rubrics/ (if not found: glob **/rubrics/ui-quality.md; still missing → note NOT FOUND: <path> in the plan and use the default totals in Step 5)
  5. The feature spec / brief from the user

Use it to make the plan executable in this project, not a generic template.

When to Use

  • Before gan-generator writes code for a UI / interactive feature
  • For features where "looks right" matters (UX flows, forms, dashboards, components)
  • For changes where a passing unit test is insufficient evidence of correctness

Read the full file on GitHub · 205 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. yesterday First seen · 205 lines · 35 tokens per session scan A f27125b661a0

Subscribe to this mod's changes

gan-planner is a skill published in the GitHub repository RaNDoM6913/claude-code-superkit (2 stars, last pushed 1mo ago), licensed MIT. It adds 35 tokens to every session and 2,041 once invoked, about $0.0002 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 2026-09-03.

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