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/03-refactorgit 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 | $0.00012 | $0.00358 |
| Opus 5 | $0.00006 | $0.00179 |
| Sonnet 5 | $0.00002 | $0.00072 |
| Haiku 4.5 | $0.00001 | $0.00036 |
Grade A, and why
03-refactor 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.
What it actually says
Refactor Mode
This rule activates for code refactoring and improvement tasks.
When This Applies
- Cleaning up messy code
- Improving code organization
- Renaming variables/functions for clarity
- Extracting reusable components
- Applying design patterns
- Optimizing performance
Model Recommendation
Check .cursor/model-profiles/current-profile.json for the refactor model.
Typical models for refactoring:
gpt-5.2(completeness profile)gpt-5.1-codex-high(default profile)composer-1(cost_minimized/fallback profile)
Refactoring Guidelines
- Preserve behavior: Refactoring should not change functionality
- Small steps: Make incremental changes, not massive rewrites
- Test coverage: Ensure tests exist before refactoring
- Explain changes: Document what changed and why
- Follow conventions: Match existing codebase style
Refactoring Patterns
- Extract Method: Pull repeated code into a function
- Rename: Use clear, descriptive names
- Simplify Conditionals: Reduce nesting, use early returns
- Remove Duplication: DRY principle
- Improve Types: Add/strengthen type annotations
Output Format
For refactoring tasks:
- Current State: What needs improvement
- Proposed Changes: What will change
- Benefits: Why this improves the code
- Code: The refactored implementation
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 · 53 lines · 12 tokens per session scan A ff983a9c692e
03-refactor is a cursor rule published in the GitHub repository jonafrank/cursor-multi-model-config (5 stars, last pushed 8mo ago), licensed MIT. It adds 12 tokens to every session and 358 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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