abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Extract evaluation-protocol elements from a source and mark unstated or ambiguous parameters.
Claude Code
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill extract-evaluation-protocol --agent claude-code
Codex
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill extract-evaluation-protocol -a codex -y
Cursor
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill extract-evaluation-protocol -a cursor -y
Gemini CLI
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill extract-evaluation-protocol -a gemini-cli -y
GitHub Copilot
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill extract-evaluation-protocol -a github-copilot -y
OpenCode
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill extract-evaluation-protocol -a opencode -y
Windsurf
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill extract-evaluation-protocol -a windsurf -y
name: extract-evaluation-protocol description: "Extract evaluation-protocol elements from a source and mark unstated or ambiguous parameters."
Extract evaluation-protocol elements from a source and mark unstated or ambiguous parameters.
required: [source_record, protocol_schema] optional: [supplementary_materials, domain_defaults] constraints: [extracted values must distinguish stated, inferred, and missing]
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.
produces: [protocol_record, source_links, ambiguity_log, comparability_notes] delta_fields: [evidence_updates, uncertainties, open_questions]
Do not fill omitted protocol values from common practice without an inference label.
A research skill graph for AI-native science. 271 markdown files. No runtime, no dependencies, no build step.
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