How to use
- Copy the installation command and review the source package before installing it in your own agent environment.
- Check the source document for required tools, credentials and supported hosts.
- Describe your input and desired deliverable; review the output against the source material.
npx skills add https://github.com/yogsoth-ai/de-anthropocentric-research-engine --skill extract-empirical-regularityBefore you start
- Installation does not include a model subscription, API allowance or permission to access your files.
- Repository stars and installation counts describe activity, not an independent quality or security test.
Original skill document
Rendered from the source repository. Headings, examples, code, tables, links, and referenced images are preserved.
extract-empirical-regularity
Purpose
Extract a repeatable empirical pattern from records while preserving conditions, exceptions, and uncertainty.
Input contract
yaml
required: [observations, variable_schema, condition_schema]
optional: [replication_records, measurement_uncertainty]
constraints: [regularity claims require multiple comparable observations or an explicit single-case limitation]Procedure
- Normalize observations, units, and conditions.
- Identify repeated associations, trends, or invariants.
- Test exceptions, alternative explanations, and measurement artifacts.
- State the regularity with scope and uncertainty boundaries.
If the regularity is stable enough to express through measurable factors and outcomes, consider identify-variables as the next tactic.
Output contract
yaml
produces: [regularity_statement, supporting_records, exception_set, scope_conditions]
delta_fields: [findings, evidence_updates, uncertainties, open_questions]Quality gates
- Conditions and exceptions accompany every regularity.
- Correlation is not labeled mechanism without supporting evidence.
Failure and counterexamples
Do not generalize a pattern across changed populations or protocols without a comparability check.
Provenance map
resolved: extract-empirical-regularity
