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 sandeepmvl/rails-skills --skill 34-form-objects-query-objects-presentersgit clone --depth 1 https://github.com/sandeepmvl/rails-skillsWrote 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/sandeepmvl/rails-skills/34-form-objects-query-objects-presenters)<a href="https://agentmods.dev/skills/sandeepmvl/rails-skills/34-form-objects-query-objects-presenters"><img src="https://agentmods.dev/badge/skills/sandeepmvl/rails-skills/34-form-objects-query-objects-presenters/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/sandeepmvl/rails-skills/34-form-objects-query-objects-presenters"><img src="https://agentmods.dev/badge/skills/sandeepmvl/rails-skills/34-form-objects-query-objects-presenters.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00093 | $0.02020 |
| Opus 5 | $0.00046 | $0.01010 |
| Sonnet 5 | $0.00019 | $0.00404 |
| Haiku 4.5 | $0.00009 | $0.00202 |
Grade A, and why
form-objects-query-objects-presenters 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 9d 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 — 253 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Form Objects, Query Objects, Presenters
Three patterns for code that doesn't fit on the model and doesn't justify a service object. AI agents either over-extract (every form is a form object) or under-extract (1000-line model has its own form binding inline). This skill maps each pattern to the right trigger.
The opinion
Form objects when a single form spans multiple models or has non-AR validations. Query objects when a query is 10+ lines or reused across actions. Presenters / decorators when view helpers grow procedural and need state. None of these for simple cases — keep the logic on the model or in the controller.
Decision matrix
| Problem | Pattern |
|---|---|
| Form posts to one model, no extra logic | Plain model (no extraction) |
| Form spans 2+ models (signup creates User + Account + Subscription) | Form object |
| Form has fields that aren't model attributes (terms of service checkbox) | Form object |
| Same complex query reused in 3+ controllers | Query object |
| Query is 15+ lines of scopes / joins / where chained together | Query object |
| View has 50 lines of "if this then that" formatting per record | Presenter / decorator |
View calls .formatted_name and .display_status on every model |
Presenter (or model methods, if simple) |
| Pure data transformation (Date → string) | View helper (not a pattern, just a helper) |
Core patterns
Pattern 1: Form objects
The case: signup creates a User + Account + Subscription.
# app/forms/signup_form.rb
class SignupForm
include ActiveModel::Model
include ActiveModel::Attributes
attribute :email, :string
attribute :password, :string
attribute :password_confirmation, :string
attribute :company_name, :string
attribute :plan_id, :string
attribute :terms_accepted, :boolean
validates :email, :password, :company_name, :plan_id, presence: true
validates :password, length: { minimum: 12 }
validate :password_matches
validate :terms_must_be_accepted
attr_reader :user
def save
return false unless valid?
ActiveRecord::Base.transaction do
account = Account.create!(name: company_name)
@user = User.create!(email: email, password: password, account: account)
account.subscriptions.create!(plan: Plan.find(plan_id))
end
true
rescue ActiveRecord::RecordInvalid => e
errors.add(:base, e.message)
false
end
private
def password_matches
errors.add(:password_confirmation, "doesn't match") unless password == password_confirmation
end
def terms_must_be_accepted
errors.add(:terms_accepted, "must be accepted") unless terms_accepted
end
end
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.
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.
- 9d ago First seen · 253 lines · 93 tokens per session scan A 5c42da1eff91
form-objects-query-objects-presenters is a skill published in the GitHub repository sandeepmvl/rails-skills (21 stars, last pushed 3mo ago), licensed MIT. It adds 93 tokens to every session and 2,020 once invoked, about $0.0005 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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