enumerate-validator-assumptions
SkillMonitoring & opsLets 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.
No other account needed.
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
- Inspect data generation, measurement, simulator, oracle, metric, initialization, and acceptance.
- Record each assumption and its relation to the target.
- 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