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name: clip_pair_protocol description: Build and validate CLIP-style image-text pair records and prompt templates for bounded recovery experiments.

CLIP Pair Protocol

Use this skill when a recovery or evaluation task needs a compact representation of CLIP-style natural-language supervision. Do not use it to read the original CLIP repository during recovery.

Inputs

• Class names as non-empty strings.
• Prompt templates containing {} placeholders.
• Pair records with id, class_name, image_embedding, and text_embedding fields.

Outputs

• Validated pair records with consistent embedding dimensions.
• Rendered prompt strings for each class.
• JSON-serializable diagnostics describing rejected fields.

Workflow

1. Validate that every class name and template is non-empty.
2. Render class prompts by substituting each class name into each template.
3. Validate pair records and ensure image/text embeddings are numeric vectors with matching dimensions.
4. Preserve provenance fields separately from labels so downstream classifiers do not invent supervision.

Validation

Run python tests/test_pair_protocol.py or validate the tree with the Distiller skill validator.

Limitations

This skill defines protocol and prompt construction only. It does not encode images or text with a pretrained CLIP model.

Refinement Note

Refinement note: mismatched image/text embedding dimensions must fail fast and must not be padded or truncated.