recipe-reverse-engineer

recipe-reverse-engineer is a skill for Claude Code, Codex from shinpr/codex-workflows. It costs 26 tokens per session (2,973 once invoked), scanned A, original, MIT.

A workflow for studying an existing codebase and producing a product requirements document and design documents from what it contains. A product requirements document describes what a product should do and why.

In plain words
What is it for?
Use it to document an existing project, create requirements and design records, and check those documents for completeness and consistency.
Why use it?
It helps turn unfamiliar code into organized documentation based on discovery and review. This makes the current behavior and design easier to understand before making changes.

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/shinpr/codex-workflows/recipe-reverse-engineer
Any agent
npx skills add shinpr/codex-workflows --skill recipe-reverse-engineer
Clone the repo
git clone --depth 1 https://github.com/shinpr/codex-workflows

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 recipe-reverse-engineer

README.md
[![agentmods](https://agentmods.dev/badge/skills/shinpr/codex-workflows/recipe-reverse-engineer.svg)](https://agentmods.dev/skills/shinpr/codex-workflows/recipe-reverse-engineer)
Your own site
<a href="https://agentmods.dev/skills/shinpr/codex-workflows/recipe-reverse-engineer"><img src="https://agentmods.dev/badge/skills/shinpr/codex-workflows/recipe-reverse-engineer.svg" alt="Measured on agentmods" height="20"></a>
Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,973 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 $0.00026 $0.02973
Opus 5 $0.00013 $0.01486
Sonnet 5 $0.00005 $0.00595
Haiku 4.5 $0.00003 $0.00297

Measured 4d ago against content hash 4e3812a8b786, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

recipe-reverse-engineer 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.

.agents/skills/recipe-reverse-engineer/SKILL.md · 247 lines

How it starts

The opening of the file, as written. The whole thing — 247 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Required Skills [LOAD BEFORE EXECUTION]

  1. [LOAD IF NOT ACTIVE] documentation-criteria — document creation rules and templates
  2. [LOAD IF NOT ACTIVE] ai-development-guide — evidence and completeness discipline
  3. [LOAD IF NOT ACTIVE] subagents-orchestration-guide — agent coordination and review resolution
  4. [LOAD IF NOT ACTIVE] llm-friendly-context — generated document handoffs

Spawn rule: every spawn_agent call uses fork_turns="none" so the subagent receives only the task message and explicitly provided context.

Context: Reverse engineering workflow to create documentation from existing code

Target: $ARGUMENTS

Orchestrator Definition

Core Identity: Coordinate reverse engineering, perform lightweight artifact routing directly, and invoke specialists for discovery, document generation, and semantic review.

Execution Protocol:

  1. Invoke the named specialists for discovery, generation, and semantic review; perform artifact selection, routing, deterministic transformations, and status updates directly
  2. Process one step at a time: Execute steps sequentially within each unit (2 -> 3 -> 4 -> 5). Each step's output is the required input for the next step. Complete all steps for one unit before starting the next
  3. Pass $STEP_N_OUTPUT as-is to sub-agents -- the orchestrator bridges data without processing or filtering it, except for steps that explicitly define a deterministic transformation with an input schema, output schema, and mapping rules

Execution Plan: Reuse the active execution plan. When the workflow has multiple dependent actions and no plan exists, create one that tracks them through final verification.

Step 0: Initial Configuration

0.1 Scope Confirmation

Ask the user to confirm:

  1. Target path: Which directory/module to document
  2. Depth: PRD only, or PRD + Design Docs
  3. Reference Architecture: layered / mvc / clean / hexagonal / none
  4. Human review: Yes (recommended) / No (fully autonomous)

Read the full file on GitHub · 247 lines

Files

What ships with it

1 file 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 · 247 lines · 26 tokens per session scan A 4e3812a8b786

Subscribe to this mod's changes

recipe-reverse-engineer is a skill published in the GitHub repository shinpr/codex-workflows (38 stars, last pushed 6d ago), licensed MIT. It adds 26 tokens to every session and 2,973 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.

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