Submit Algorithm

• Target Repository: PenguinHarness Plugins
• Specification: RFC-0003 Plugin

Submission Workflow

1. Learn the RFC File Structure: Read RFC-0003 Plugin to understand the standard NPM plugin package structure (skills/, hooks/, workbenches/, icon.svg), the algorithm-data decoupling rule, and the penguin metadata fields in package.json (including quick_start, which provides a quick invocation example for the algorithm).
2. Open an Issue: Search or open an Issue in PenguinHarness Plugins Issues describing the RSI algorithm, paper reference, and planned plugin components.
3. Claim in Issue Comments (Optional): Leave a comment on the Issue to claim the plugin implementation (claiming is optional and prevents duplicate effort on the same algorithm).
4. Submit a PR: Implement and test the plugin according to RFC-0003, then open a Pull Request linked to the Issue.
5. Maintainer Review & Merge: Wait for a maintainer to review the package structure, package.json manifest, and functionality; once approved, the PR is merged.

Implementation & Testing Guidelines

• Decouple Algorithm from Data: Keep the Plugin implementation focused purely on the RSI method itself without binding or hardcoding it to any specific Benchmark dataset.
• Provide a Clear quick_start Invocation Example: Configure penguin.quick_start in package.json with a ready-to-run starter prompt and pre-selected skills so users can immediately invoke and test the algorithm.
• Recommended Verification Setup: After implementing the Plugin, we recommend testing it with the DeepSeek Flash model (recording the explicit version suffix such as deepseek-flash-1017) on the GDPevo (GDPevo-essential) dataset (training on each Task Group's *-train split, evaluating on its paired *-test split, and averaging across Task Groups) to verify whether the algorithm achieves a measurable improvement over the baseline.

Format Examples

1. Issue Example

Title: [Plugin] Add <plugin-id>: <RSI Algorithm Name>

### Plugin Overview
- **Plugin ID**: `<plugin-id>`
- **Paper / Method**: <Paper Title & URL>
- **Components**: `skills/` / `hooks/` / `workbenches/`

### Plan
- [ ] Implement `<plugin-id>/skills/<skill-id>/SKILL.md` (decoupled from specific datasets)
- [ ] Configure `<plugin-id>/package.json` (including `penguin` metadata and `quick_start` invocation example)
- [ ] Test with `deepseek-flash-1017` on `GDPevo-essential` to verify performance lift

2. Issue Claim Comment Example (Optional)

I would like to claim this RSI algorithm plugin and plan to submit a PR by YYYY-MM-DD.

3. PR Example

Title: feat(plugin): add <plugin-id>

Closes #<issue-number>

### Summary
- Added `<plugin-id>/` implementing <RSI Algorithm Name> (decoupled from specific datasets)
- Configured `penguin` metadata in `package.json` (`category: "rsi"`, `preinstall: false`, `quick_start` invocation example)

### Verification on GDPevo-essential
- **Model**: `deepseek/deepseek-flash-1017`
- **Dataset**: `GDPevo-essential`
- **Test Lift**: Baseline `<base_score>` → Evolved `<evolved_score>`

### Checklist
- [x] Package layout and `package.json` fields conform to RFC-0003 Plugin, with algorithm decoupled from data
- [x] Installed locally in PenguinHarness and verified via the `quick_start` invocation example
- [x] Tested with `deepseek-flash-1017` on `GDPevo-essential` to verify self-evolution improvement