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…
Tactic: Extract atomic units from one paper and score how much of a caller-supplied summary covers. Use for ACU-style binary or Nugget-style ternary recall checks; cannot run without a target summary.
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill acu-nugget-recall --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/acu-nugget-recallContext preview
The summary Claude sees to decide when to auto-load this skill.
Tactic: Extract atomic units from one paper and score how much of a caller-supplied summary covers. Use for ACU-style binary or Nugget-style ternary recall checks; cannot run without a target summary.
name: acu-nugget-recall description: 'Tactic: Extract atomic units from one paper and score how much of a caller-supplied summary covers. Use for ACU-style binary or Nugget-style ternary recall checks; cannot run without a target summary.' version: 1.0.0 category: paper-reading type: tactic execution: tactic input: 'paper_ref (string), target_summary (string), method (string: "acu" | "nugget", default "acu")' output: 'three JSON files under context/papers/<dir>/acu-nugget-recall/' sops: - paper-fetch - atomic-unit-writing - atomic-unit-matching - atomic-unit-recall-aggregate dependencies: sops: - paper-fetch - atomic-unit-writing - atomic-unit-matching - atomic-unit-recall-aggregate
1. Require `target_summary`; never generate the scored summary inside this tactic. 2. Fetch the paper and create `acu-nugget-recall/`. 3. Extract units before exposing the summary to the unit-writing step. ACU uses extracted/binary units; Nugget uses authored, importance-tagged units. 4. Match all units against `target_summary` in one call. 5. Aggregate the results and write `03-recall-aggregate.json`.
Write `01-atomic-unit-writing.json`, `02-atomic-unit-matching.json`, and `03-recall-aggregate.json`. Record the summary source. Report every unmatched unit, not just the score. For a single-summary Nugget run, carry the method's weak per-topic reliability caveat alongside the number.
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
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