Award NOS's (Newcastle-Ottawa Scale) stars item-by-item across Selection (up to 4), Comparability (up to 2), and Outcome/Exposure (up to 3) — a binary award-or-not action per item, distinct from a 5-value signalling judgment. Use this after study-design-tool-gate has dispatched to NOS, as the first step before sum-threshold-scoring.
Scanned 9/5/2026
Install to Claude Code
Skills Directorynpx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill star-awarding --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: star-awarding
description: Award NOS's (Newcastle-Ottawa Scale) stars item-by-item across Selection (up to 4), Comparability (up to 2), and Outcome/Exposure (up to 3) — a binary award-or-not action per item, distinct from a 5-value signalling judgment. Use this after study-design-tool-gate has dispatched to NOS, as the first step before sum-threshold-scoring.
version: 1.0.0
category: paper-reading
type: sop
execution: subagent
prompt: ./prompt.md
input: 'source_path (string), meta_path (string)'
reads: 'method and results sections'
output: 'star_results (list of {item, stars_awarded})'
dependencies:
sops:
- spawn-agent
---
# Star Awarding
NOS's item-by-item star awarding — binary per item, not a signalling-question judgment. Added per coverage-audit M8: the original graph had NOS's stars appearing already-summed at an aggregation node, with no node actually doing the item-level awarding those sums depend on.
## Execution
Subagent — spawned via spawn-agent skill.
<!-- BEGIN available-tables (generated) -->
## Available SOPs
| SOP | When to use |
| --- | --- |
| spawn-agent | Spawn a customized CC subagent with full MCP tool access. |
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