contentrain-generate

contentrain-generate is a skill for Claude Code, Codex from Contentrain/ai. It costs 40 tokens per session (1,743 once invoked), scanned A, original, MIT.

A procedure for generating a typed query client from Contentrain content models. A typed client is code that helps developers query content while checking field names and data types.

In plain words
What is it for?
Use it to generate or regenerate the Contentrain SDK, update model-based types, configure bundler aliases, or set up `@contentrain/query` imports.
Why use it?
It keeps the client code aligned with the project’s models and makes generated content imports easier to set up. It also checks whether the project has the required configuration and packages.

Skill for Claude CodeCodex

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

Good fit Use it to generate or regenerate the Contentrain SDK, update model-based types, configure bundler aliases, or set up @contentrain/query imports.

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Install with agentmods
npx agentmods add skills/contentrain/ai/contentrain-generate
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 Contentrain/ai --skill contentrain-generate
Clone the repo
git clone --depth 1 https://github.com/Contentrain/ai

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 contentrain-generate

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/contentrain/ai/contentrain-generate"><img src="https://agentmods.dev/badge/skills/contentrain/ai/contentrain-generate.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,743 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 $0.00040 $0.01743
Opus 5.5 $0.00016 $0.00697
Sonnet 5.5 $0.00008 $0.00349
Haiku 4.5 $0.00004 $0.00174

Measured 1mo ago against content hash 6c85e4314c5f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

contentrain-generate 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 1mo 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.

packages/skills/skills/contentrain-generate/SKILL.md · 214 lines

How it starts

The opening of the file, as written. The whole thing — 214 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill: Generate SDK Client

Generate the typed Contentrain query client from model definitions using the Prisma-pattern codegen.


When to Use

The user wants to generate or regenerate the SDK client, or says something like "generate client", "regenerate types", "set up contentrain imports", "run contentrain generate", "update SDK types".


Steps

1. Check Project State

Call contentrain_status to verify:

  • .contentrain/ directory exists with config.json.
  • At least one model exists in .contentrain/models/.
  • Content files exist for the configured locales.

If the project is not initialized, stop and suggest running /contentrain-init first. If no models exist, suggest /contentrain-content to create content first.

2. Verify Prerequisites

Check that the required packages are available:

  • @contentrain/query must be installed in the project's package.json (as a dependency).
  • The contentrain CLI must be available (via npx contentrain or globally installed).

If @contentrain/query is not installed, install it using the project's package manager:

# Use whichever package manager the project uses
pnpm add @contentrain/query
# or: npm install @contentrain/query
# or: yarn add @contentrain/query

3. Run the Generator

Execute the generation command:

npx contentrain generate

Two ways to invoke the generator:

  • contentrain generate — via the contentrain CLI (recommended; requires the contentrain package installed). This is what all examples in this skill use.
  • npx contentrain-query generate — directly via the @contentrain/query package's own bin, for projects that depend only on @contentrain/query (programmatic / build-tool flows). Both run the same generator.

If the project uses a non-standard root directory, specify it:

npx contentrain generate --root .

This reads .contentrain/models/ and .contentrain/content/ to produce:

.contentrain/client/
  index.mjs          — ESM entry (query runtime + re-exports)
  index.cjs          — CJS entry (NestJS, Express, legacy tooling)
  index.d.ts         — Generated types (from model schemas)
  data/
    {model}.{locale}.mjs   — Static data modules per model/locale

Read the full file on GitHub · 214 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. 1mo ago First seen · 214 lines · 40 tokens per session scan A 6c85e4314c5f

Subscribe to this mod's changes

contentrain-generate is a skill published in the GitHub repository Contentrain/ai (6 stars, last pushed today), licensed MIT. It adds 40 tokens to every session and 1,743 once invoked, about $0.0002 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 2026-08-31.

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