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name: lora_recovery_protocol description: Run a bounded soft-mode LoRA recovery protocol with executable mechanism checks and source-boundary logging.

LoRA Recovery Protocol

Use this skill when full pretrained Transformer fine-tuning is unavailable but a mechanism-faithful LoRA recovery is allowed.

Inputs

Attempt directory, generated LoRA skills, runtime handoff, and a deterministic synthetic low-rank task.

Outputs

Recovery result JSON, training trace, generated data item, skill invocation log, and source manifest.

Workflow

1. Declare proxy status and full-runtime blockers.
2. Generate examples from a frozen base matrix plus a rank-limited target update.
3. Invoke the LoRA update, merge, and budget skills.
4. Require loss decrease, unchanged base weights, changed LoRA factors, and merge equivalence.
5. Write validator-compatible artifacts.

Validation

Run the recovery harness and then validate_recovery_experiment.py on the attempt directory.

Limitations

This protocol validates mechanism transfer, not the paper's full GLUE/E2E benchmark scores.