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 audit-data-contaminationBefore 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.
audit-data-contamination
Purpose
Audit train/test leakage, memorization artifacts, temporal leakage, and disclosure pathways that can invalidate evaluation.
Input contract
yaml
required: [dataset_partitions, training_sources, evaluation_records]
optional: [release_history, deduplication_keys, access_logs]
constraints: [each contamination claim requires a matched record, pathway, and comparison basis]Procedure
- Define partition, temporal, entity, and disclosure boundaries.
- Match evaluation items against training and public-source records using declared keys.
- Test suspected leakage pathways and compare affected with unaffected cases.
- Classify confirmed, plausible, and unassessed contamination with impact notes.
Output contract
yaml
produces: [contamination_matches, pathway_map, affected_case_set, impact_assessment, audit_uncertainties]
delta_fields: [findings, evidence_updates, uncertainties, decisions, open_questions]Quality gates
- Matching keys and time boundaries are recorded.
- False-positive matches are sampled and documented.
Failure and counterexamples
Do not call lexical overlap contamination without a disclosure pathway, and do not infer clean separation from missing metadata.
Provenance map
resolved: knowledge-acquisition-contamination-audit
