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 agentmods add skills/contentrain/ai/contentrain-contentnpx skills add Contentrain/ai --skill contentrain-contentgit clone --depth 1 https://github.com/Contentrain/aiWhat 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 | $0.00036 | $0.01991 |
| Opus 5 | $0.00018 | $0.00996 |
| Sonnet 5 | $0.00007 | $0.00398 |
| Haiku 4.5 | $0.00004 | $0.00199 |
Grade A, and why
contentrain-content 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 2d 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 — 203 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: Create Content for Existing Models
Generate and save content entries for models already defined in the project.
When to Use
The user wants to create new content, add entries to a collection, populate a singleton, or says something like "add a blog post", "create content", "fill in the hero section".
MUST Rules
- MUST call
contentrain_describebefore writing content (know the schema) - MUST provide ALL required fields in entries
- MUST create entries for ALL supported locales when model has
i18n: true - MUST NOT set system fields (id, slug, createdAt, updatedAt, status, source)
- MUST run
npx contentrain generateafter adding new models or changing fields
Steps
1. Check Project State
Call contentrain_status to get the full project context:
- Confirm the project is initialized.
- List available models, their kinds, domains, and field counts.
- Note supported locales and the source locale.
- Check for any pending changes or validation errors.
If .contentrain/ does not exist, stop and suggest running /contentrain-init first.
2. Identify the Target Model
If the user specified a model, use it. Otherwise:
- Present the list of available models from status.
- Ask the user which model to create content for.
- If the user describes content without naming a model (e.g., "write a blog post about X"), infer the model from context.
3. Read the Model Definition
Call contentrain_describe(model: "<model-id>", include_sample: true) to get:
- All field definitions (name, type, required, constraints).
- A sample entry if one exists (use it as a structural reference).
- Relation fields and their target models.
If the user's request does not match an existing model, offer to create one first with contentrain_model_save.
4. Read Vocabulary and Context
- Check
.contentrain/vocabulary.jsonfor canonical terms. All content must use these terms consistently across locales. Do not use alternative spellings or synonyms for vocabulary-defined terms. - Check
.contentrain/context.jsonfor tone conventions (professional, casual, technical). - For dictionaries: Before creating any new key, call
contentrain_content_liston the target model and scan existing values. If the value you intend to write already exists under a different key, REUSE the existing key instead of creating a new one. MCP will also warn you viaadvisoriesin the save response if duplicates are detected. Replacing an existing key's value is allowed — the response reports what was replaced, so read the advisories rather than assuming a save was purely additive.
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.
- 2d ago First seen · 203 lines · 36 tokens per session scan A 40d38510ea0a
contentrain-content is a skill published in the GitHub repository Contentrain/ai (4 stars, last pushed 2d ago), licensed MIT. It adds 36 tokens to every session and 1,991 once invoked, about $0.0002 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 2026-08-31.
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