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name: sar_collapse_recovery description: Use this skill when tracking SAR entropy EMA and deciding whether a model or optimizer reset is required after collapse.

Collapse Recovery

When To Use

Use this skill for SAR stable test-time adaptation work that needs: Track EMA entropy and trigger reset when SAR detects collapse. Do not use it as a generic ImageNet-C runner or as permission to read the original SAR repository during recovery.

Inputs

• current reliable entropy, prior EMA, reset threshold, saved state metadata

Outputs

• updated EMA, reset decision, restored-state flag

Workflow

1. Read the caller-provided stream, logits, parameter metadata, or entropy trace.
2. Apply the SAR-specific invariant documented in this skill: The method avoids collapse by resetting the model when moving-average entropy becomes suspiciously small.
3. Produce structured numeric evidence for recovery logs.
4. Keep proxy/reduced results explicitly labeled when the full ImageNet-C runtime is unavailable.

Validation

Run python scripts/collapse_recovery.py when the script has a CLI, then run python -m pytest tests or the Distiller skill validator with --run-tests.

Limitations

This skill captures a reusable SAR mechanism. It does not contain pretrained weights, ImageNet-C data, or original repository code, and it should be combined with other SAR skills for end-to-end recovery.