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/signalling-question-answering

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;

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de-anthropocentric-research-engine
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Install
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill signalling-question-answering --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/signalling-question-answering

Context 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;

SKILL.md

signalling-question-answering.SKILL.md
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

Signalling Question Answering

Raw 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.

Execution

Subagent — spawned via spawn-agent skill.

Scope Note (per coverage-audit M8)

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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Available SOPs

| 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.

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Repo: yogsoth-ai/de-anthropocentric-research-engine