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/enumerate-validator-assumptions

Enumerate assumptions embedded in a validator/test/sandbox, including data-generation, measurement, simulator, oracle, metric, initialization, and acceptance assumptions.

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de-anthropocentric-research-engine
499200 skills
Install
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill enumerate-validator-assumptions --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/enumerate-validator-assumptions

Context preview

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

Enumerate assumptions embedded in a validator/test/sandbox, including data-generation, measurement, simulator, oracle, metric, initialization, and acceptance assumptions.

SKILL.md

enumerate-validator-assumptions.SKILL.md
name: enumerate-validator-assumptions
description: "Enumerate assumptions embedded in a validator/test/sandbox, including data-generation, measurement, simulator, oracle, metric, initialization, and acceptance assumptions."

enumerate-validator-assumptions

Purpose

Enumerate assumptions embedded in a validator, benchmark, sandbox, or test.

Input contract

required: [validator_artifact, target_claim]
optional: [data_generation, measurement, simulator, oracle, metric, initialization, acceptance_rule]
constraints: [assumptions must be classified by source and role]

Procedure

1. Inspect data generation, measurement, simulator, oracle, metric, initialization, and acceptance. 2. Record each assumption and its relation to the target. 3. Mark evidence, uncertainty, and potential circularity.

If validator assumptions and dependencies are explicit, consider `build-noncircularity-matrix` as the next tactic.

Output contract

produces: [validator_assumption_inventory, dependency_links, circularity_candidates]
delta_fields: [findings, evidence_updates, uncertainties, open_questions]

Quality gates

  • No assumption is omitted merely because it is conventional.

Failure and counterexamples

An unstated assumption remains unknown, not independent.

Provenance map

  • resolved: circular-validation-audit
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.

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Python
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Apache-2.0
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Repo: yogsoth-ai/de-anthropocentric-research-engine