characterize-anomaly
SkillDev toolsLets your agent rigorously analyze an unexpected observation by comparing it to expectations and ruling out trivial causes.
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 characterize-anomaly skill
About this skill
Precisely characterize an anomaly by contrasting observation with expectation, quantifying deviation where possible, recording conditions, and excluding obvious/trivial explanations before generating hypotheses.
What this skill tells your AI
The instructions your AI receives, as published by yogsoth-ai/de-anthropocentric-research-engine in skills/characterize-anomaly/SKILL.md and read by ahel’s review.
Purpose
Characterize an observation that departs from an expected pattern and separate signal from measurement or protocol artifact.
Input contract
required: [observation, reference_pattern, condition_records]
optional: [uncertainty_estimates, replication_records, artifact_hypotheses]
constraints: [anomaly status requires a defined comparison and condition context]
Procedure
- Define the expected pattern and comparison basis.
- Quantify the departure with uncertainty and condition alignment.
- Test plausible data, protocol, and mechanism explanations.
- Classify the anomaly and identify discriminating follow-up evidence.
If the anomaly is reproducible and not explained by a recording artifact, consider generate-competing-hypotheses as the next tactic.
Output contract
produces: [anomaly_description, comparison_basis, explanation_set, discriminating_evidence]
delta_fields: [findings, evidence_updates, uncertainties, recommended_jumps]
Quality gates
- The reference pattern and departure measure are explicit.
- Artifact explanations are checked before causal interpretations.
Failure and counterexamples
Do not label a rare value anomalous without a comparison distribution or ignore changed measurement conditions.
Provenance map
resolved: characterize-anomaly
Signals
- GitHub stars
- 501
- Forks
- 41
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Key
characterize-anomaly- Source
- github.com/yogsoth-ai/de-anthropocentric-research-engine