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/extract-evaluation-protocol

Extract evaluation-protocol elements from a source and mark unstated or ambiguous parameters.

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de-anthropocentric-research-engine
499200 skills
Install
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill extract-evaluation-protocol --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/extract-evaluation-protocol

Context preview

The summary Claude sees to decide when to auto-load this skill.

Extract evaluation-protocol elements from a source and mark unstated or ambiguous parameters.

SKILL.md

extract-evaluation-protocol.SKILL.md
name: extract-evaluation-protocol
description: "Extract evaluation-protocol elements from a source and mark unstated or ambiguous parameters."

extract-evaluation-protocol

Purpose

Extract evaluation-protocol elements from a source and mark unstated or ambiguous parameters.

Input contract

required: [source_record, protocol_schema]
optional: [supplementary_materials, domain_defaults]
constraints: [extracted values must distinguish stated, inferred, and missing]

Procedure

1. Parse task, data, split, metric, baseline, budget, evaluator, and reporting elements. 2. Link each value to a source passage or record field. 3. Mark ambiguity, omission, and any inference made from context. 4. Emit a normalized protocol record with comparability notes.

If multiple protocols can now be represented on the same comparison schema, consider `compare-evaluation-protocols` as the next tactic.

Output contract

produces: [protocol_record, source_links, ambiguity_log, comparability_notes]
delta_fields: [evidence_updates, uncertainties, open_questions]

Quality gates

  • Missing fields are explicit.
  • Inferred defaults are never represented as stated facts.

Failure and counterexamples

Do not fill omitted protocol values from common practice without an inference label.

Provenance map

  • `resolved: protocol-element-extraction`
Ships withde-anthropocentric-research-engine

The complete research orchestration system for AI-native science. What It Does Design Philosophy Architecture (v3.2.2) Quick Start Configuration Roadmap License DARE is not a tool that helps you do research. It is the researcher.

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Python
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Apache-2.0
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5h ago
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Repo: yogsoth-ai/de-anthropocentric-research-engine