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name: taxonomy_recovery_harness description: Run a reduced executable WordNet taxonomy recovery using generated preprocessing, tagging, and distance skills.

Taxonomy Recovery Harness

Use this skill after the WordNet taxonomy module skills have been generated and validated. It coordinates the reduced soft-mode recovery and writes validator-compatible experiment artifacts.

Inputs

• Attempt directory containing module_plan.json and environment/runtime_handoff.json.
• Generated skills root containing the taxonomy, preprocessor, tagger, and distance skills.

Outputs

• recovery/recovery_result.json with numeric proxy metrics.
• recovery/logs/generated_data_item.json describing the reduced sample.
• recovery/logs/training_trace.json with loss and parameter changes.
• recovery/logs/generated_skill_invocations.json proving generated skill use.

Workflow

1. Import generated helper scripts from the skill root, not from the original WordNet source repository.
2. Build a tiny taxonomy fixture and validate its inventory.
3. Preprocess a reduced sample with a known collocation and inflected lookup forms.
4. Tag senses with context and explicit unresolved behavior.
5. Compute semantic distances and run one scalar optimizer step for a near/far threshold.
6. Write recovery artifacts and mechanism checks required by the Distiller recovery gate.

Validation

Run python scripts/recovery_harness.py --attempt-dir <attempt> --skills-root <skills_root> followed by the Distiller recovery experiment validator.

Limitations

This is a declared soft-mode proxy and does not claim to reproduce full WordNet inventory scale or the historical X-windows ConText interface.