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.
git clone --depth 1 https://github.com/codekiln/logseq-cursor-rulesWrote 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/rules/codekiln/logseq-cursor-rules/logseq-ai-model-reference)<a href="https://agentmods.dev/rules/codekiln/logseq-cursor-rules/logseq-ai-model-reference"><img src="https://agentmods.dev/badge/rules/codekiln/logseq-cursor-rules/logseq-ai-model-reference/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/rules/codekiln/logseq-cursor-rules/logseq-ai-model-reference"><img src="https://agentmods.dev/badge/rules/codekiln/logseq-cursor-rules/logseq-ai-model-reference.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 | $0.00013 | $0.00670 |
| Opus 5.5 | $0.00005 | $0.00268 |
| Sonnet 5.5 | $0.00003 | $0.00134 |
| Haiku 4.5 | $0.00001 | $0.00067 |
Grade A, and why
logseq-ai-model-reference 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 — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Model Reference Quick Guide
This rule extends logseq-naming-conventions.mdc for quickly referencing AI models in the knowledge graph without creating detailed pages.
When to Use This Rule
- When mentioning a model in passing
- When creating changelog entries
- When comparing models
- When listing available models
- When creating stub pages for future detailed documentation
Quick Reference Format
Provider Namespaces
- [[OpenAI/Model/...]] - For OpenAI models
- [[Anthropic/Model/...]] - For Anthropic models
- [[Google/AI/Model/...]] - For Google models
- [[DeepSeek/Model/...]] - For DeepSeek models
- [[xAI/Model/...]] - For xAI/Grok models
Version Format
- Use forward slashes for version hierarchy
- Example:
[[OpenAI/Model/GPT/4/1]]for GPT-4.1 - Example:
[[Anthropic/Model/Claude/3.5/Sonnet]]for Claude 3.5 Sonnet
Quick Stub Page Creation
When creating a stub page for a new model:
-
Create the page with minimal frontmatter:
--- alias:: [[model-name]] tags:: [[AI/Model]] --- -
Add a basic structure:
- # Model Name - *Stub page - detailed documentation pending* -
Add the model to the appropriate provider's model list page if it exists
Examples
<CORRECT_✅>
- ### New models
- Added [[Google/AI/Model/Gemini/2.5/Pro]], [[Google/AI/Model/Gemini/2.5/Flash]]
- Added [[xAI/Model/Grok/3]], [[xAI/Model/Grok/3/Mini]]
- Added [[OpenAI/Model/GPT/4/1]], [[OpenAI/Model/o3]] and [[OpenAI/Model/o4/Mini]]
</CORRECT_✅>
<INCORRECT_❌>
- ### New models
- Added Gemini 2.5 Pro, Gemini 2.5 Flash
- Added Grok 3, Grok 3 Mini
- Added GPT-4.1, o3 and o4-mini
</INCORRECT_❌>
Best Practices
- Always use the full namespace path when referencing models
- Create stub pages for new models to maintain consistency
- Use aliases for common model references
- Link to existing model pages when available
- Follow the singular naming convention from
logseq-naming-conventions.mdc
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 · 83 lines · 13 tokens per session scan A 072c312f6f3b
logseq-ai-model-reference is a cursor rule published in the GitHub repository codekiln/logseq-cursor-rules (2 stars, last pushed 1y ago), licensed MIT. It adds 13 tokens to every session and 670 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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