classify-falsification-verdict
SkillDev toolsLets your agent classify a tested claim as BROKEN, CORROBORATED, or UNFALSIFIABLE based on falsification test results.
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 classify-falsification-verdict skill
About this skill
Classify a tested claim as BROKEN, CORROBORATED, or UNFALSIFIABLE based on whether a legitimate falsifier succeeded, failed under adequate power, or cannot be specified/reached.
What this skill tells your AI
The instructions your AI receives, as published by yogsoth-ai/de-anthropocentric-research-engine in skills/classify-falsification-verdict/SKILL.md and read by ahel’s review.
Purpose
Classify a tested claim as BROKEN, CORROBORATED, or UNFALSIFIABLE.
Input contract
required: [claim, falsifier, test_result, adequacy_assessment]
optional: [scope, power_or_precision]
constraints: [falsifier must be legitimate and within scope]
Procedure
- Check the falsifier and scope.
- Assess whether the test was adequate.
- Return exactly one permitted verdict with rationale.
Output contract
produces: [falsification_verdict, verdict_rationale, adequacy_assessment]
delta_fields: [findings, evidence_updates, uncertainties, decisions]
Quality gates
- BROKEN requires a successful legitimate falsifier.
- CORROBORATED requires an adequate test that failed to falsify.
- Otherwise return UNFALSIFIABLE.
Failure and counterexamples
Do not treat an underpowered or unreachable test as corroboration.
Provenance map
- resolved: falsification-first-stress-test
Signals
- GitHub stars
- 501
- Forks
- 41
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Key
classify-falsification-verdict- Source
- github.com/yogsoth-ai/de-anthropocentric-research-engine