Skip to content
Automation
Skill

/audit-data-contamination

Audit train/test leakage, memorization artifacts, temporal leakage, and disclosure pathways that can invalidate evaluation.

From plugin
de-anthropocentric-research-engine
499200 skills
Install
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill audit-data-contamination --agent claude-code

How 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/audit-data-contamination

Context preview

The summary Claude sees to decide when to auto-load this skill.

Audit train/test leakage, memorization artifacts, temporal leakage, and disclosure pathways that can invalidate evaluation.

SKILL.md

audit-data-contamination.SKILL.md
name: audit-data-contamination
description: "Audit train/test leakage, memorization artifacts, temporal leakage, and disclosure pathways that can invalidate evaluation."

audit-data-contamination

Purpose

Audit train/test leakage, memorization artifacts, temporal leakage, and disclosure pathways that can invalidate evaluation.

Input contract

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

1. Define partition, temporal, entity, and disclosure boundaries. 2. Match evaluation items against training and public-source records using declared keys. 3. Test suspected leakage pathways and compare affected with unaffected cases. 4. Classify confirmed, plausible, and unassessed contamination with impact notes.

Output contract

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`
Read more
Ships withde-anthropocentric-research-engine

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.

Get the whole plugin
Stats
499
Stars
41
Forks
Active
Maintenance
Python
Language
Apache-2.0
License
2h ago
Last commit
7mo ago
Created

Repo: yogsoth-ai/de-anthropocentric-research-engine