gepetto

gepetto is a skill for Claude Code, Codex from softaworks/agent-toolkit. It costs 35 tokens per session (2,583 once invoked), scanned A, a copy of gepetto, MIT.

A planning workflow that turns a feature idea into a detailed, sectioned implementation plan through research, interviews, specification writing, and review by other AI models.

In plain words
What is it for?
Use it to analyze a Markdown specification, gather stakeholder answers, synthesize requirements, write a plan, and obtain an external review.
Why use it?
It helps uncover requirements and design decisions before coding begins, especially for larger features.

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/softaworks/agent-toolkit/gepetto
Any agent
npx skills add softaworks/agent-toolkit --skill gepetto
Clone the repo
git clone --depth 1 https://github.com/softaworks/agent-toolkit

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 gepetto

README.md
[![agentmods](https://agentmods.dev/badge/skills/softaworks/agent-toolkit/gepetto.svg)](https://agentmods.dev/skills/softaworks/agent-toolkit/gepetto)
Your own site
<a href="https://agentmods.dev/skills/softaworks/agent-toolkit/gepetto"><img src="https://agentmods.dev/badge/skills/softaworks/agent-toolkit/gepetto.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 2,583 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 100% copy Near-identical to another mod 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 $0.02583
Opus 5 $0.00017 $0.01291
Sonnet 5 $0.00007 $0.00517
Haiku 4.5 $0.00003 $0.00258

Measured 4d ago against content hash 6a52b8850ecb, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

gepetto 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 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.

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.

Origin

This is a copy

100% identical to gepetto — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/gepetto/SKILL.md · 346 lines

How it starts

The opening of the file, as written. The whole thing — 346 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Gepetto

Orchestrates a multi-step planning process: Research → Interview → Spec Synthesis → Plan → External Review → Sections

CRITICAL: First Actions

BEFORE anything else, do these in order:

1. Print Intro

Print intro banner immediately:

═══════════════════════════════════════════════════════════════
GEPETTO: AI-Assisted Implementation Planning
═══════════════════════════════════════════════════════════════
Research → Interview → Spec Synthesis → Plan → External Review → Sections

Note: GEPETTO will write many .md files to the planning directory you pass it

2. Validate Spec File Input

Check if user provided @file at invocation AND it's a spec file (ends with .md).

If NO @file was provided OR the path doesn't end with .md, output this and STOP:

═══════════════════════════════════════════════════════════════
GEPETTO: Spec File Required
═══════════════════════════════════════════════════════════════

This skill requires a markdown spec file path (must end with .md).
The planning directory is inferred from the spec file's parent directory.

To start a NEW plan:
  1. Create a markdown spec file describing what you want to build
  2. It can be as detailed or as vague as you like
  3. Place it in a directory where gepetto can save planning files
  4. Run: /gepetto @path/to/your-spec.md

To RESUME an existing plan:
  1. Run: /gepetto @path/to/your-spec.md

Example: /gepetto @planning/my-feature-spec.md
═══════════════════════════════════════════════════════════════

Do not continue. Wait for user to re-invoke with a .md file path.

3. Setup Planning Session

Determine session state by checking existing files:

  1. Set planning_dir = parent directory of the spec file
  2. Set initial_file = the spec file path
  3. Scan for existing planning files:
    • claude-research.md
    • claude-interview.md
    • claude-spec.md
    • claude-plan.md
    • claude-integration-notes.md
    • claude-ralph-loop-prompt.md
    • claude-ralphy-prd.md
    • reviews/ directory
    • sections/ directory

Read the full file on GitHub · 346 lines

Files

What ships with it

6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 4d ago First seen · 346 lines · 35 tokens per session scan A 6a52b8850ecb

Subscribe to this mod's changes

gepetto is a skill published in the GitHub repository softaworks/agent-toolkit (2,418 stars, last pushed 6mo ago), licensed MIT. It adds 35 tokens to every session and 2,583 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to gepetto, differing in 0 lines, and is treated as a copy.

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