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cad_prompt_protocol【效率与协作】Build and validate context-aware decoding prompt parts with separated evidence context, query, and generation prefix.
独立 GitHub 快照 · 自动分类 · 以原作者文档为准
Use this skill when implementing Context-aware Decoding (CAD) or a recovery experiment that must compare a context-conditioned language-model distribution against a query-only prior distribution. Do not use it to evaluate answers or choose tokens.
context: evidence text that should be upweighted.query: question, instruction, or task prefix that appears in both CAD branches.prefix: generated text so far.task: optional task label.A structured prompt record with full_prompt, prior_prompt, and metadata proving the context is absent from the prior branch.
Run python tests/test_prompt_protocol.py or Distiller validate_skill_tree.py --run-tests.
This skill does not call a language model and must not insert gold answers, evaluation labels, or final-answer markers into prompts.