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/Modellix/modellix-pluginWrote 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/modellix/modellix-plugin/cli-and-defaults)<a href="https://agentmods.dev/rules/modellix/modellix-plugin/cli-and-defaults"><img src="https://agentmods.dev/badge/rules/modellix/modellix-plugin/cli-and-defaults/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/modellix/modellix-plugin/cli-and-defaults"><img src="https://agentmods.dev/badge/rules/modellix/modellix-plugin/cli-and-defaults.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 | $0.00354 | $0.00354 |
| Opus 5.5 | $0.00142 | $0.00142 |
| Sonnet 5.5 | $0.00071 | $0.00071 |
| Haiku 4.5 | $0.00035 | $0.00035 |
Grade A, and why
cli-and-defaults 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.
What it actually says
- Prefer
modellix-cliover hand-rolled REST polling when the CLI is available. - Before the first CLI command in a workflow, run
skills/modellix-design/scripts/preflight.py --json; it resolves public npmlatestbefore paid work and keeps an existing CLI on update failure. Never change CLI versions after submission starts. - Canonical flow: automatic preflight/
doctor→model run --wait→task download. Prefer--json. - Do not reinvent poll loops when CLI
--wait/task waitexists. Use REST only if CLI is missing or unsuitable. - If the user did not name a model, use these defaults immediately (do not scan the catalog first):
- T2I:
google/nano-banana-2-lite - T2V:
bytedance/seedance-2.0-mini-t2v - I2I:
google/nano-banana-2-lite-edit - I2V:
bytedance/seedance-2.0-fast-i2v - V2V:
bytedance/seedance-2.0-fast-v2v - TTS:
alibaba/qwen-audio-3.0-tts-flash - STT:
openai/whisper-1 - STS:
alibaba/cosyvoice-clone
- T2I:
- Full policy and examples: plugin skill
skills/modellix-design/SKILL.mdandreferences/cli-playbook.md.
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 Changed · +2 tokens per session cbdc9f46c5f0
- 1mo ago First seen · 20 lines · 352 tokens per session scan A 594d5b435975
cli-and-defaults is a cursor rule published in the GitHub repository Modellix/modellix-plugin (1 stars, last pushed 2d ago), licensed MIT. It adds 354 tokens to every session, about $0.0014 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 cursor rules, from other repositories
arcjet-ai-apps
Security guidance for AI/LLM endpoints — layered Arcjet protection with prompt injection, PII blocking, and token budgets.
arcjet-express
Arcjet patterns for Express, Node.js, Fastify, Hono, NestJS, Bun, and Deno — correct adapters, no middleware, proxy config.
markifact-bundled
Markifact performance-marketing agent + skills + commands. Auto-loaded by Cursor whenever you ask about ads, GA4, Shopify, HubSpot or other marketing platforms.
risk-factors
Risk scoring factor definitions and weights for PR review dispatch.
context-delegate
Context Gatherer & External LLM Prompt Generator.
infra-devops
Infrastructure, Cloud, Terraform, Docker & CI/CD Agent.