contentrain-model

contentrain-model is a skill for Claude Code, Codex from Contentrain/ai. It costs 29 tokens per session (1,310 once invoked), scanned A, original, MIT.

A workflow for defining the structure of content in Contentrain. It creates or changes models, which describe fields and how content such as pages, posts, or translations is stored.

In plain words
What is it for?
Use it to create models, add or change fields, choose between single items and repeated entries, define long-form documents, and configure translations or relationships.
Why use it?
It helps developers change a content structure safely without duplicating existing models or choosing an unsuitable storage format.

Skill for Claude CodeCodex

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

Good fit Use it to create models, add or change fields, choose between single items and repeated entries, define long-form documents, and configure translations or relationships.

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Install with agentmods
npx agentmods add skills/contentrain/ai/contentrain-model
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-model
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-model

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/contentrain/ai/contentrain-model"><img src="https://agentmods.dev/badge/skills/contentrain/ai/contentrain-model.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 29 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,310 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 $0.00029 $0.01310
Opus 5.5 $0.00012 $0.00524
Sonnet 5.5 $0.00006 $0.00262
Haiku 4.5 $0.00003 $0.00131

Measured 1mo ago against content hash dbfa087df1cd, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

contentrain-model 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-model/SKILL.md · 174 lines

How it starts

The opening of the file, as written. The whole thing — 174 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill: Design and Save Models

Create or evolve Contentrain model definitions safely.


When to Use

Use this when the user wants to:

  • add a new model
  • change fields on an existing model
  • choose between singleton, collection, document, and dictionary
  • define relations, locales, or custom content paths

Steps

1. Inspect Project State

Call contentrain_status first:

  • confirm the project is initialized
  • see existing model IDs and domains
  • avoid creating duplicates

If the user is extending an existing model, call contentrain_describe(model: "<model-id>").

2. Confirm Storage Contract

Call contentrain_describe_format before proposing structure changes.

Use it to confirm:

  • model kinds and storage expectations
  • locale behavior
  • document vs JSON model tradeoffs
  • how custom content_path and locale_strategy affect files

3. Choose the Right Kind

  • singleton: one object per locale, e.g. hero, navigation, footer
  • collection: repeated entries with IDs, e.g. testimonials, faq items, authors
  • document: long-form markdown content with frontmatter, e.g. blog posts, docs pages
  • dictionary: flat key-value strings, e.g. UI labels, error messages

Default rules:

  • use dictionary for UI/system strings
  • use document for markdown-heavy long-form content
  • use collection for repeated structured items
  • use singleton for one page/section config per locale

4. Design Fields

Follow these rules:

  • model IDs must be kebab-case
  • field names must be snake_case — for new fields. A field an existing model already has under a legacy name (creativeWork) is kept by contentrain_model_save and reported in schema_warnings; never rename it just to satisfy the rule, since the rename must reach its content keys in every locale and every consumer too
  • relation fields must define a target model
  • prefer small, explicit schemas over large generic object blobs
  • only mark fields as required when the content truly cannot function without them

Read the full file on GitHub · 174 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. 1mo ago Changed dbfa087df1cd
  2. 1mo ago First seen · 174 lines · 29 tokens per session scan A bdad0b8a1d77

Subscribe to this mod's changes

contentrain-model is a skill published in the GitHub repository Contentrain/ai (6 stars, last pushed today), licensed MIT. It adds 29 tokens to every session and 1,310 once invoked, about $0.0001 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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