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.
npx skills add ThibautBaissac/rails_ai_agents --skill extraction-timinggit clone --depth 1 https://github.com/ThibautBaissac/rails_ai_agentsWrote 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.
[](https://agentmods.dev/skills/thibautbaissac/rails_ai_agents/extraction-timing)<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/github.svg" alt="Measured on agentmods" height="20"></a>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.
<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>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00120 | $0.01144 |
| Opus 5 | $0.00060 | $0.00572 |
| Sonnet 5 | $0.00024 | $0.00229 |
| Haiku 4.5 | $0.00012 | $0.00114 |
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 10d 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.
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
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.
- 10d ago First seen · 111 lines · 120 tokens per session scan A 97c17a0649c4
extraction-timing is a skill published in the GitHub repository ThibautBaissac/rails_ai_agents (661 stars, last pushed 3mo ago), licensed MIT. It adds 120 tokens to every session and 1,144 once invoked, about $0.0006 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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