formated-results
Closing skill for the research-executor, loaded as the last step of formated-specs. Summarize the design just produced into one research-result JSON fenced…
Answer per-domain signalling questions (5-value scale: Yes/Probably yes/Probably no/No/No information) for RoB2, ROBINS-I, or QUADAS-2, per whichever variant study-design-tool-gate dispatched to. Use this after study-design-tool-gate has dispatched to one of these three tools;
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill signalling-question-answering --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/signalling-question-answeringContext preview
The summary Claude sees to decide when to auto-load this skill.
Answer per-domain signalling questions (5-value scale: Yes/Probably yes/Probably no/No/No information) for RoB2, ROBINS-I, or QUADAS-2, per whichever variant study-design-tool-gate dispatched to. Use this after study-design-tool-gate has dispatched to one of these three tools;
name: signalling-question-answering
description: 'Answer per-domain signalling questions (5-value scale: Yes/Probably yes/Probably no/No/No information) for RoB2, ROBINS-I, or QUADAS-2, per whichever variant study-design-tool-gate dispatched to. Use this after study-design-tool-gate has dispatched to one of these three tools; this SOP produces only the raw signalling answers, not any domain-level or overall roll-up — that happens in domain-level-judgment next.'
version: 1.0.0
category: paper-reading
type: sop
execution: subagent
prompt: ./prompt.md
input: 'source_path (string), meta_path (string), dispatched_tool (string)'
reads: 'method and results sections — signalling questions ask what was done, not what it meant'
output: 'signalling_answers (list of {domain, question, answer})'
dependencies:
sops:
- spawn-agent
metadata:
internal: trueRaw per-domain 5-value signalling answers for RoB2/ROBINS-I/QUADAS-2. First of two algorithmic levels these tools require — see domain-level-judgment for the second.
Subagent — spawned via spawn-agent skill.
NOS's star-awarding and AMSTAR-2's checklist items are NOT this SOP's concern — an earlier graph draft conflated "answer a domain question" with "award a star" and "check a checklist item," but these are three structurally different actions (5-value signalling judgment vs. binary star-or-not vs. checklist Yes/No/Partial). Keep this SOP scoped to exactly RoB2/ROBINS-I/QUADAS-2's signalling questions.
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| SOP | When to use | | --- | --- | | spawn-agent | Spawn a customized CC subagent with full MCP tool access. |
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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.
Repo: yogsoth-ai/de-anthropocentric-research-engine
Closing skill for the research-executor, loaded as the last step of formated-specs. Summarize the design just produced into one research-result JSON fenced…
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