extract

extract is a skill for Claude Code, Codex from cenconq25/claude-code-app-studio. It costs 58 tokens per session (1,936 once invoked), scanned A, original, MIT.

A code-analysis workflow that records the patterns an existing project actually uses, including naming, state, navigation, errors, and component structure.

In plain words
What is it for?
It analyzes selected source files and writes a reference document describing the current implementation conventions.
Why use it?
It helps teams understand a codebase before changing it, especially when documentation is missing or outdated.

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/cenconq25/claude-code-app-studio/extract
Any agent
npx skills add cenconq25/claude-code-app-studio --skill extract
Clone the repo
git clone --depth 1 https://github.com/cenconq25/claude-code-app-studio

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 extract

README.md
[![agentmods](https://agentmods.dev/badge/skills/cenconq25/claude-code-app-studio/extract.svg)](https://agentmods.dev/skills/cenconq25/claude-code-app-studio/extract)
Your own site
<a href="https://agentmods.dev/skills/cenconq25/claude-code-app-studio/extract"><img src="https://agentmods.dev/badge/skills/cenconq25/claude-code-app-studio/extract.svg" alt="Measured on agentmods" height="20"></a>
Per session 58 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,936 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00058 $0.01936
Opus 5 $0.00029 $0.00968
Sonnet 5 $0.00012 $0.00387
Haiku 4.5 $0.00006 $0.00194

Measured today against content hash 6329e76bc988, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

extract 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 today.

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.

.claude/skills/extract/SKILL.md · 232 lines

How it starts

The opening of the file, as written. The whole thing — 232 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Extract — Code Pattern Capture

Reads existing implementation and produces a system.md describing how the code is actually built — not how it should be. This is descriptive, not prescriptive.

Output: design/extracted/<system-or-area>.md


Purpose / When to Run

Run when:

  • A brownfield project has working code but no design docs
  • /reverse-document is running and needs the extracted patterns as input
  • The team wants a "this is how we currently do it" snapshot before making a change

Distinct from /design-system (which authors a forward-looking PRD) and /architecture-decision (which records a deliberate decision). This skill captures observed reality so a future PRD or ADR can be written against an honest baseline.

Inputs

  • Required: a path or glob pointing to the source files to analyze (e.g., src/screens/auth/, lib/features/onboarding/**/*.dart)
  • The framework (read from .claude/docs/technical-preferences.md)

Outputs

  • design/extracted/<system-name>.md

Phase 1: Resolve Scope

If no path was passed, ask:

  • Prompt: "Which area of code should I extract patterns from?"
  • Options:
    • Screens / pagessrc/screens/**, lib/features/**, app/Sources/**/Views/
    • State management — wherever the app's stores / view models live
    • Networking / API client — fetchers, interceptors
    • Navigation — routing config, deep links
    • Specific subdirectory — free text path

Use Glob to confirm the target exists and resolve to a list of files. Cap at ~50 files for one extraction; if more, sample and ask whether to chunk.

Determine the system name from the path (e.g., src/screens/auth/auth).


Phase 2: Read & Skim

Read each file. For each, classify by role: screen, component, hook/composable, store, service, util, type definition, test.

While reading, build a fact table per file:

  • Imports (which dependencies and from where)
  • Exported names
  • State shape (if a store)
  • Side effects (network calls, persistence reads/writes, navigation)
  • Error handling pattern

Read the full file on GitHub · 232 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. today First seen · 232 lines · 58 tokens per session scan A 6329e76bc988

Subscribe to this mod's changes

extract is a skill published in the GitHub repository cenconq25/claude-code-app-studio (40 stars, last pushed 4mo ago), licensed MIT. It adds 58 tokens to every session and 1,936 once invoked, about $0.0003 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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