rails-search

rails-search is a skill for Claude Code, Codex from sandeepmvl/rails-skills. It costs 135 tokens per session (2,813 once invoked), scanned A, original, MIT.

A guide to adding search to Rails applications using PostgreSQL, Meilisearch, or Elasticsearch and OpenSearch, depending on the needs.

In plain words
What is it for?
Building full-text search, typo-tolerant search, autocomplete, filters, multi-model search, and background index updates.
Why use it?
It helps developers choose an appropriate search system without adding the operational work of a large search cluster when the database is enough.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Building full-text search, typo-tolerant search, autocomplete, filters, multi-model search, and background index updates.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/sandeepmvl/rails-skills/37-rails-search
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 sandeepmvl/rails-skills --skill 37-rails-search
Clone the repo
git clone --depth 1 https://github.com/sandeepmvl/rails-skills

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 rails-search

README.md
[![agentmods](https://agentmods.dev/badge/skills/sandeepmvl/rails-skills/37-rails-search/github.svg)](https://agentmods.dev/skills/sandeepmvl/rails-skills/37-rails-search)
Your own site
<a href="https://agentmods.dev/skills/sandeepmvl/rails-skills/37-rails-search"><img src="https://agentmods.dev/badge/skills/sandeepmvl/rails-skills/37-rails-search/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.

agentmods 80×15 button for rails-search

Your own site · 80×15
<a href="https://agentmods.dev/skills/sandeepmvl/rails-skills/37-rails-search"><img src="https://agentmods.dev/badge/skills/sandeepmvl/rails-skills/37-rails-search.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 135 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,813 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.
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 $0.00135 $0.02813
Opus 5 $0.00068 $0.01406
Sonnet 5 $0.00027 $0.00563
Haiku 4.5 $0.00014 $0.00281

Measured 12d ago against content hash cd783292f4e3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

rails-search 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 12d 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.

skills/37-rails-search/SKILL.md · 353 lines

How it starts

The opening of the file, as written. The whole thing — 353 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Three tiers. Use the cheapest one that solves the problem. Most Rails apps never need Elasticsearch — Postgres + pg_search gets you to millions of rows with good UX. AI agents reach for ES by default; this skill pushes back.

The opinion

Default: pg_search with PostgreSQL tsvector + pg_trgm. Step up to Meilisearch when you need typo tolerance, autocomplete, and faceted UX. Reach for Elasticsearch / OpenSearch only when you genuinely need clustered, sharded, analytics-grade search at billion-row scale. Use searchkick as a Rails-idiomatic wrapper around either Elasticsearch or OpenSearch. Always index in the background, never inline.

Why this order:

  • pg_search uses your existing database. No new infra. No sync drift.
  • Meilisearch is a single-binary Rust server. Smaller than ES, sub-50ms queries, typo tolerance built-in.
  • ES/OpenSearch is the right tool at scale but operationally expensive — cluster management, JVM tuning, mapping migrations.

Tier 1: pg_search (default)

Setup

# Gemfile
gem "pg_search"
# db/migrate/...
class AddPgTrgm < ActiveRecord::Migration[8.0]
  def change
    enable_extension "pg_trgm"  # for fuzzy / similarity
  end
end

Pattern 1: Per-model search

class Post < ApplicationRecord
  include PgSearch::Model

  pg_search_scope :search_full_text,
    against: { title: "A", body: "B" },   # weights — A is highest
    using: {
      tsearch: { prefix: true, dictionary: "english" },
      trigram: { threshold: 0.3 }
    }
end

Post.search_full_text("rails search")
# → ranked posts matching either by tsvector or trigram similarity

against: { title: "A", body: "B" } — Postgres ts_rank weights. A > B > C > D. Title matches rank higher than body matches.

Pattern 2: Multi-search across models

class Post < ApplicationRecord
  include PgSearch::Model
  multisearchable against: [:title, :body]
end

class User < ApplicationRecord
  include PgSearch::Model
  multisearchable against: [:name, :bio]
end

PgSearch.multisearch("alice")
# → ActiveRecord::Relation of PgSearch::Document
# Each document has searchable_type ("Post" or "User") and searchable_id.

Read the full file on GitHub · 353 lines

Files

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.

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. 12d ago First seen · 353 lines · 135 tokens per session scan A cd783292f4e3

Subscribe to this mod's changes

rails-search is a skill published in the GitHub repository sandeepmvl/rails-skills (21 stars, last pushed 3mo ago), licensed MIT. It adds 135 tokens to every session and 2,813 once invoked, about $0.0007 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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