---

name: rectified_recovery_harness description: Compose rectified-flow module skills into an executable reduced recovery experiment with auditable JSON logs.

Rectified Recovery Harness

Use this skill when a Distiller recovery attempt needs a bounded executable experiment for the rectified-flow paper. It coordinates generated skills rather than duplicating their contracts.

Inputs

• Attempt directory containing module_plan.json and environment/runtime_handoff.json.
• Generated skill root with interpolation, velocity regression, and ODE/reflow skills.
• Seed, sample count, and Euler step count.

Outputs

• recovery/recovery_result.json with metrics and mechanism checks.
• recovery/logs/training_trace.json and generated_data_item.json.
• recovery/logs/generated_skill_invocations.json.

Workflow

1. Construct a deterministic synthetic coupling for a low-dimensional transport proxy.
2. Invoke the interpolation skill to build rectified-flow records.
3. Invoke the velocity-regression skill to run optimizer steps.
4. Invoke the ODE/reflow skill to simulate transport and straightness diagnostics.
5. Write source-boundary, command, and mechanism evidence.

Validation

Run the harness from an attempt directory, then run validate_recovery_experiment.py.

Limitations

This harness declares reduced/proxy recovery and keeps full image-training booleans false unless a real full runtime is supplied and validated separately.

Stress-Test Invariant

Seed stress tests must preserve positive loss reduction and keep reduced/full runtime booleans separate.