/acu-nugget-recall
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.
- 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
/acu-nugget-recall
Context 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.
SKILL.md
acu-nugget-recall.SKILL.mdname: 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
ACU / Nugget Recall
Orchestration Pattern
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.
Read more
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
ACU / Nugget Recall
Orchestration Pattern
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
Other skills on de-anthropocentric-research-engine.
- /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 block in your reply. Do not execute the research.
Open skill - /formated-specs
Spec-slot skill for the research-executor. Emit the 4-layer DARE orchestration of the assigned topic as one research-graph JSON fenced block in your reply. Replaces the generic spec-writing step.
Open skill - /injection-fidelity
Loss-1 judge (codex role). Given one sample's de-identified dialogue and its PolicyCard, decide axis-by-axis whether the user-simulator enacted the card's per-axis pressure. Judge enactment of the card, never whether the research is good.
Open skill - /ladder-quality-order
Loss-2 judge (codex role). Over one topic's 6 shuffled research-design samples, pairwise-rank by quality using the D1–D5 standard. Emit the pairwise log; the harness computes the order and the ladder verdicts. Judge quality difference, never against academic standards.
Open skill - /optimization-loop
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 one weight (attribute-first), and recovers from disk after compaction. Control flow is fully scripted; only the
Open skill - /argumentative-zoning
Tactic: Label every sentence of one paper with its rhetorical role using Argumentative Zoning. Use when fixed rhetorical labels and cross-paper alignment matter.
Open skill

