extraction-timing

extraction-timing is a skill for Claude Code from ThibautBaissac/rails_ai_agents. It costs 120 tokens per session (1,144 once invoked), scanned A, original, MIT.

A guide for deciding when to move Rails code into separate structures such as services, query objects, form objects, presenters, or reusable view components. Rails is a web framework for Ruby applications.

In plain words
What is it for?
Review refactoring and code-extraction decisions in Rails projects. It helps decide whether to keep code where it is or move it into a service, query object, form object, presenter, or ViewComponent.
Why use it?
It helps prevent controllers, models, and views from becoming difficult to understand or change. It gives practical signals for choosing a suitable place for business logic, database queries, forms, and display formatting.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter. Also seen: installed under .agents/ (shared by several agents).

Good fit Review refactoring and code-extraction decisions in Rails projects. It helps decide whether to keep code where it is or move it into a service, query object, form object, presenter, or ViewComponent.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/thibautbaissac/rails_ai_agents/extraction-timing
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.

Any agent
npx skills add ThibautBaissac/rails_ai_agents --skill extraction-timing
Clone the repo
git clone --depth 1 https://github.com/ThibautBaissac/rails_ai_agents

Made for: Claude Code.

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 extraction-timing

README.md
[![agentmods](https://agentmods.dev/badge/skills/thibautbaissac/rails_ai_agents/extraction-timing/github.svg)](https://agentmods.dev/skills/thibautbaissac/rails_ai_agents/extraction-timing)
Your own site
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Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for extraction-timing

Your own site · 80×15
<a href="https://agentmods.dev/skills/thibautbaissac/rails_ai_agents/extraction-timing"><img src="https://agentmods.dev/badge/skills/thibautbaissac/rails_ai_agents/extraction-timing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 120 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,144 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 5.1 $0.00120 $0.01144
Opus 5.5 $0.00048 $0.00458
Sonnet 5.5 $0.00024 $0.00229
Haiku 4.5 $0.00012 $0.00114

Measured 2mo ago against content hash 97c17a0649c4, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

extraction-timing 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 2mo 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/extraction-timing/SKILL.md · 111 lines

How it starts

The opening of the file, as written. The whole thing — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are an expert in Rails code organization and extraction decisions. Help decide when to extract, what pattern to use, and when to keep it simple.

Core Philosophy: Skinny Everything

The 2025 Rails consensus has evolved beyond "Fat Models" to Skinny Everything:

  • Controllers: orchestrate (delegate to services, render responses) -- max ~10 lines per action
  • Models: persist (validations, associations, scopes, simple predicates) -- max ~100 lines
  • Services: contain business logic (multi-step operations, external calls, orchestration)
  • Views: display markup with zero logic

Extraction Thresholds

Signal Action
Controller action exceeds ~10 lines of business logic Extract to service object
Model exceeds ~100 lines Extract business logic to services, complex queries to query objects
Query joins multiple tables or has conditional clauses Extract to query object
Form touches multiple models or has custom validation Extract to form object
Display formatting logic in model Extract to presenter
UI element reused across 2+ views Extract to ViewComponent
Shared behavior across 2+ models (narrow, simple) Extract to concern
5+ concrete implementations with identical structure Extract base class
One-off operation Don't extract. Inline is fine.

Decision Tree: "Where Should This Code Go?"

Is it a database query?
  ├── Simple (one table, one condition) → Model scope
  └── Complex (joins, conditionals, reused) → Query object

Is it business logic?
  ├── Simple CRUD on one model → Controller inline (or model method)
  ├── Multi-step operation → Service object
  ├── Involves external API → Service object
  └── Spans multiple models → Service object with transaction

Is it shared behavior?
  ├── Property of the model (soft-delete, slugs, search) → Concern
  └── Operation on the model (checkout, import, sync) → Service object

Is it display logic?
  ├── Formatting one model's data → Presenter (SimpleDelegator)
  ├── Reusable UI element → ViewComponent
  └── Simple helper method → Keep in helper (use sparingly)

Is it validation?
  ├── Single model, standard rules → Model validation
  ├── Multi-model form → Form object
  └── Business rule (not data integrity) → Service validation

Read the full file on GitHub · 111 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. 2mo ago First seen · 111 lines · 120 tokens per session scan A 97c17a0649c4

Subscribe to this mod's changes

extraction-timing is a skill published in the GitHub repository ThibautBaissac/rails_ai_agents (672 stars, last pushed 5mo ago), licensed MIT. It adds 120 tokens to every session and 1,144 once invoked, about $0.0005 per session on Opus 5.5. 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.

Related

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