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 rules/jonafrank/cursor-multi-model-config/01-planninggit clone --depth 1 https://github.com/jonafrank/cursor-multi-model-configWhat 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 | $0.00011 | $0.00294 |
| Opus 5 | $0.00005 | $0.00147 |
| Sonnet 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 3d 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.
- 3d 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 8mo ago), licensed MIT. It adds 11 tokens to every session and 294 once invoked, about $0.0001 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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