Borrowing it
Nothing to install: this file belongs to Contentrain/ai. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Contentrain/ai/main/AGENTS.mdgit 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/instructions/contentrain/ai/agents-md)<a href="https://agentmods.dev/instructions/contentrain/ai/agents-md"><img src="https://agentmods.dev/badge/instructions/contentrain/ai/agents-md/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/instructions/contentrain/ai/agents-md"><img src="https://agentmods.dev/badge/instructions/contentrain/ai/agents-md.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 | $0.01097 | $0.01097 |
| Opus 5.5 | $0.00439 | $0.00439 |
| Sonnet 5.5 | $0.00219 | $0.00219 |
| Haiku 4.5 | $0.00110 | $0.00110 |
Grade A, and why
ai AGENTS.md 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 13d 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 — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — Contentrain AI
Git-based, AI-first content governance infrastructure. Agent extracts or updates content → Contentrain standardizes → Human reviews → Any platform consumes.
What this repo is
MIT-licensed monorepo for Contentrain's open-source packages: MCP tools, CLI, TypeScript types, AI rules, universal query SDK, and agent skills.
Agent Skills
This repo ships 16 Agent Skills following the Agent Skills standard. Install them with:
npx skills add Contentrain/ai/packages/skills --skill='*'
Or install a specific skill:
npx skills add Contentrain/ai/packages/skills --skill='contentrain-normalize'
Skills are located at packages/skills/skills/*/SKILL.md:
| Skill | When to use |
|---|---|
contentrain |
Working with .contentrain/ directory, MCP tools, content formats |
contentrain-normalize |
Extracting hardcoded strings, patching source files with content refs |
contentrain-quality |
Content quality checks, SEO, accessibility, media rules |
contentrain-sdk |
Using @contentrain/query, #contentrain imports, QueryBuilder |
contentrain-content |
Creating/updating content entries for existing models |
contentrain-model |
Designing and saving model definitions |
contentrain-init |
Initializing a new Contentrain project |
contentrain-bulk |
Batch operations on content entries |
contentrain-validate-fix |
Validating content and auto-fixing structural issues |
contentrain-review |
Reviewing content changes before publishing |
contentrain-translate |
Translating content across supported locales |
contentrain-generate |
Generating the typed SDK client from models |
contentrain-serve |
Starting the local review UI |
contentrain-diff |
Viewing content diffs between branches |
contentrain-doctor |
Diagnosing project health issues |
Essential rules (always-loaded)
Load packages/rules/essential/contentrain-essentials.md (~120 lines) for compact guardrails covering:
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.
- 13d ago Changed · +6 tokens per session 81ce86d9e745
- 1mo ago Changed 6e58471f16fe
- 1mo ago First seen · 103 lines · 1,091 tokens per session scan A 1b52edcfdf54
ai AGENTS.md is an instructions file published in the GitHub repository Contentrain/ai (6 stars, last pushed today), licensed MIT. It adds 1,097 tokens to every session, about $0.0044 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.
Other instructions, from other repositories
data-scientist copilot-instructions.md
Repository instructions for a data-science workflow in GitHub Copilot, covering datasets, statistics, and analysis files.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).