dos-extract

dos-extract is a skill for Claude Code, Codex from XRenSiu/claude-code-forge. It costs 318 tokens per session (2,489 once invoked), scanned A, original, MIT.

A tool for reverse-engineering a shared vocabulary of a software system from its code and documentation. The result describes the system’s core objects, relationships, and rules.

In plain words
What is it for?
Use it when a team lacks a common model of the system and needs an ontology specification plus written decisions about the chosen concepts.
Why use it?
It prevents existing class or component names from being mistaken for the real concepts the product is built around.

Skill for Claude CodeCodex

Part of the looper plugin — 3 skills shipped together

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/xrensiu/claude-code-forge/dos-extract
Any agent
npx skills add XRenSiu/claude-code-forge --skill dos-extract
Clone the repo
git clone --depth 1 https://github.com/XRenSiu/claude-code-forge

Made for: Claude Code, Codex.

Or install looper, the plugin that ships this one along with the rest of its 3 skills.

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 dos-extract

README.md
[![agentmods](https://agentmods.dev/badge/skills/xrensiu/claude-code-forge/dos-extract.svg)](https://agentmods.dev/skills/xrensiu/claude-code-forge/dos-extract)
Your own site
<a href="https://agentmods.dev/skills/xrensiu/claude-code-forge/dos-extract"><img src="https://agentmods.dev/badge/skills/xrensiu/claude-code-forge/dos-extract.svg" alt="Measured on agentmods" height="20"></a>
Per session 318 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,489 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 $0.00318 $0.02489
Opus 5 $0.00159 $0.01244
Sonnet 5 $0.00064 $0.00498
Haiku 4.5 $0.00032 $0.00249

Measured 3d ago against content hash ea80a70a3154, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

dos-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 3d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/inventory.py, scripts/verify_dos.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

plugins/looper/skills/dos-extract/SKILL.md · 170 lines

How it starts

The opening of the file, as written. The whole thing — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.

dos-extract

Reverse-engineer a Design Ontology Spec from a repository. The product is two files: dos.yaml (the 12-section ontology) + decisions.md (why Topic, not TopicNode). This skill describes what a DOS is, the judgments that separate a real ontology from a scan dump, the primitive that does the mechanical scanning, the human seam, and the exit that certifies the result. It prescribes no step order — the engine sequences the work; what follows are the gaps and the gates.

The gap (why a scan is not an ontology)

A composite of three atoms: Knowledge (what a DOS is — the 12-section format, the code-vs-docs signal priority), Capability (the mechanical noun/verb scan — a primitive the engine otherwise mis-improvises), Judgment (the four classification calls below).

The load-bearing reason this is not free:

Code contains the current implementation choices, not the ontology that should exist. A naive "scan code → emit objects" pass freezes mistakes into the contract: a CommentCard React component becomes a CommentCard object — wrong twice (it is UI, and Card is presentation, not domain).

Deletion test: remove this skill and ask the engine to "extract a DOS from this repo." It greps nouns and emits a polluted ontology — UI elements and *Repository/*Service names promoted to objects, no ≤7 discipline, code vocabulary winning over the team's language. The gap is the semantic judgment, plus the knowledge of what a clean DOS looks like.

The world

  • A DOS is a YAML contract in a fixed 12-section shape (assets/dos_template.yaml): meta, scope, objects, relationships, rules, composition, behaviors, bounded_contexts, agent_guidelines, anti_patterns, open_questions, evolution_log. It is the shared language between humans and AI agents — code converges to it, not it to code.
  • Two signal sources, divergence is signal. Code shows what was built; docs show what the team talks about. When they agree, confidence is high. When they diverge (docs say Topic, code says Node), that divergence is itself evidence — and for ontology questions docs generally outrank code (code drifts under deadline; docs reflect intent). Full priority rules: references/methodology.md (code-vs-docs signal priority).
  • Output is two files. dos.yaml (the ontology) + decisions.md (the audit trail — every non-trivial judgment traceable to one of the four by name).

Read the full file on GitHub · 170 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. 3d ago First seen · 170 lines · 318 tokens per session scan A ea80a70a3154

Subscribe to this mod's changes

dos-extract is a skill published in the GitHub repository XRenSiu/claude-code-forge (2 stars, last pushed 1mo ago), licensed MIT. It adds 318 tokens to every session and 2,489 once invoked, about $0.0016 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 2026-08-31.

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