abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Precisely characterize an anomaly by contrasting observation with expectation, quantifying deviation where possible, recording conditions, and excluding obvious/trivial explanations before generating hypotheses.
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill characterize-anomaly --agent claude-codeHow it fires
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Precisely characterize an anomaly by contrasting observation with expectation, quantifying deviation where possible, recording conditions, and excluding obvious/trivial explanations before generating hypotheses.
name: characterize-anomaly description: "Precisely characterize an anomaly by contrasting observation with expectation, quantifying deviation where possible, recording conditions, and excluding obvious/trivial explanations before generating hypotheses."
Characterize an observation that departs from an expected pattern and separate signal from measurement or protocol artifact.
required: [observation, reference_pattern, condition_records] optional: [uncertainty_estimates, replication_records, artifact_hypotheses] constraints: [anomaly status requires a defined comparison and condition context]
1. Define the expected pattern and comparison basis. 2. Quantify the departure with uncertainty and condition alignment. 3. Test plausible data, protocol, and mechanism explanations. 4. Classify the anomaly and identify discriminating follow-up evidence.
If the anomaly is reproducible and not explained by a recording artifact, consider `generate-competing-hypotheses` as the next tactic.
produces: [anomaly_description, comparison_basis, explanation_set, discriminating_evidence] delta_fields: [findings, evidence_updates, uncertainties, recommended_jumps]
Do not label a rare value anomalous without a comparison distribution or ignore changed measurement conditions.
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
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
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Aggregate criterion or comparison results into an ordered recommendation under an explicit rule.
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