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/jonafrank/cursor-multi-model-configWrote 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/jonafrank/cursor-multi-model-config/01-planning)<a href="https://agentmods.dev/rules/jonafrank/cursor-multi-model-config/01-planning"><img src="https://agentmods.dev/badge/rules/jonafrank/cursor-multi-model-config/01-planning/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/jonafrank/cursor-multi-model-config/01-planning"><img src="https://agentmods.dev/badge/rules/jonafrank/cursor-multi-model-config/01-planning.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 | $0.00011 | $0.00294 |
| Opus 5.5 | $0.00004 | $0.00118 |
| Sonnet 5.5 | $0.00002 | $0.00059 |
| Haiku 4.5 | $0.00001 | $0.00029 |
Grade A, and why
01-planning 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 2mo 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
Planning Mode
This rule activates for planning and architectural tasks.
When This Applies
- System design and architecture decisions
- Feature planning and scoping
- Breaking down complex tasks into steps
- Evaluating trade-offs between approaches
- Creating implementation roadmaps
Model Recommendation
Check .cursor/model-profiles/current-profile.json for the planning model.
Typical models for planning:
gpt-5.1-codex-high(completeness profile)gpt-5.1-codex-low(cost_minimized profile)composer-1(fallback profile)
Planning Guidelines
- Start with requirements: Clarify what the user wants to achieve
- Consider constraints: Time, resources, existing code, dependencies
- Propose alternatives: Offer 2-3 approaches when relevant
- Create actionable steps: Break down into concrete tasks
- Identify risks: Flag potential issues early
Output Format
For planning tasks, structure your response as:
- Understanding: Restate the goal
- Approach: Recommended strategy
- Steps: Numbered action items
- Considerations: Trade-offs, risks, dependencies
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.
- 2mo ago First seen · 44 lines · 11 tokens per session scan A dc97b6f98c26
01-planning is a cursor rule published in the GitHub repository jonafrank/cursor-multi-model-config (5 stars, last pushed 10mo ago), licensed MIT. It adds 11 tokens to every session and 294 once invoked, about $0.0000 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
ponytail
Ponytail, lazy senior dev mode. Always pick the simplest solution that works.
angular-20
This rule provides comprehensive best practices and coding standards for Angular development, focusing on modern TypeScript, standalone components, signals, and performance optimizations.
dev-standard
Apache Superset development standards and guidelines for Cursor IDE.
prefer-direct-imports-over-module-mocks
Prefer extracting a testable core over vi.mock / vi.resetModules when unit tests need to reach production logic entangled with config, env, or singletons.
config-validation-and-normalization
Config validation and normalization responsibilities (defineConfig normalizes, the orm section schema validates and resolves paths, the loader reports per-section diagnostics).
control-plane-descriptors
Control plane descriptor and instance implementation patterns.