enumerate-validator-assumptions

SkillMonitoring & ops

Lets your agent list the hidden assumptions inside a validator, benchmark, sandbox, or test and flag circular ones.

Available today. Use it from your connected AI after setup.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the enumerate-validator-assumptions skill

About this skill

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

What this skill tells your AI

The instructions your AI receives, as published by yogsoth-ai/de-anthropocentric-research-engine in skills/enumerate-validator-assumptions/SKILL.md and read by ahel’s review.

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

Signals

GitHub stars
501
Forks
41
Last commit
Sep 2026
Advanced
Catalog kind
skill
Key
enumerate-validator-assumptions
Source
github.com/yogsoth-ai/de-anthropocentric-research-engine