Individual skill
model-retuning
Use when asked to run /model-retuning to retune a skill corpus for a new model, measurement-first. Not for static audits: use deslop.
.devin/skills/model-retuning/SKILL.md
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- License
- Apache-2.0
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SKILL.mdcore · 8,189 bytesagents/openai.yamlasset · 209 bytes
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# Model retuning
## Contract
| Field | Bound contract |
|---|---|
| Trigger | /model-retuning [target model or symptom] [corpus path] [bar:<n> consecutive clean runs] |
| Authority | Reversible local: writes only named local corpus files and measurement artifacts; rollback is reverting the per-pass commits. No remote mutation. |
| Side effect | Runs measurement passes and edits corpus files in surgical, measured passes; one problem class per pass over disjoint file ownership. |
| Done | The pre-registered bar clears, or the run reports the specific claim it could not support. |
## Inputs
- Target model or symptom: required. Names what the corpus degrades on.