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 Contentrain/ai --skill contentrain-generategit clone --depth 1 https://github.com/Contentrain/aiWrote 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/contentrain/ai/contentrain-generate)<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.
<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>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 | $0.00040 | $0.01743 |
| Opus 5.5 | $0.00016 | $0.00697 |
| Sonnet 5.5 | $0.00008 | $0.00349 |
| Haiku 4.5 | $0.00004 | $0.00174 |
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.
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 withconfig.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/querymust be installed in the project'spackage.json(as a dependency).- The
contentrainCLI must be available (vianpx contentrainor 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 thecontentrainCLI (recommended; requires thecontentrainpackage installed). This is what all examples in this skill use.npx contentrain-query generate— directly via the@contentrain/querypackage'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
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.
- 1mo ago First seen · 214 lines · 40 tokens per session scan A 6c85e4314c5f
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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