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…
Run one of the ML/CS reproducibility checklists (ML Reproducibility Checklist, REFORMS, NeurIPS Paper Checklist, Model Cards, Datasheets for Datasets) against a paper as a reader-side audit, producing a category (Yes/No/NA) plus free-text reason per item. Use this whenever the
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill dual-column-self-check --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/dual-column-self-checkContext preview
The summary Claude sees to decide when to auto-load this skill.
Run one of the ML/CS reproducibility checklists (ML Reproducibility Checklist, REFORMS, NeurIPS Paper Checklist, Model Cards, Datasheets for Datasets) against a paper as a reader-side audit, producing a category (Yes/No/NA) plus free-text reason per item. Use this whenever the
name: dual-column-self-check
description: Run one of the ML/CS reproducibility checklists (ML Reproducibility Checklist, REFORMS, NeurIPS Paper Checklist, Model Cards, Datasheets for Datasets) against a paper as a reader-side audit, producing a category (Yes/No/NA) plus free-text reason per item. Use this whenever the user wants a reproducibility/completeness self-check run on an ML or CS paper — invoke this directly, it has no study-design gate in this package since these checklists are engineering self-audits, not clinical-study tools.
version: 1.0.0
category: paper-reading
type: sop
execution: subagent
prompt: ./prompt.md
input: 'source_path (string), meta_path (string), item_set (string — name of the specific checklist)'
reads: 'full paper — a completeness self-audit asks whether each item appears anywhere'
output: 'checklist_result (list of {item, category, reason})'
dependencies:
sops:
- spawn-agentCategory (Yes/No/NA) + free-text reason per item, across 5 ML/CS reproducibility checklists. Originally author-facing self-certification tools, reversed here for reader-side auditing — each item's framing must be flipped to a question before being answered.
Subagent — spawned via spawn-agent skill.
Unlike `quality-appraisal-checklist`/`reporting-standard-checklist`, this SOP has no in-edge from `study-design-tool-gate` in the graph — its 5 checklists are ML/CS engineering self-audits, not tied to a clinical study design, so no study-design dispatch was ever drawn to it (spec §5's flagged note). Do not add a gate dependency here without revisiting that decision explicitly.
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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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The optimizer brain for the ladder-foundry pretraining loop. Runs the two-level nested batch loop, delegates gating to gate_eval, attributes a failing batch to…
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