reasoning-abductive
Diagnose Anomalies with Abductive Reasoning
Unexpected outcomes are hard to explain when evidence is incomplete. This skill helps Claude, Codex, and Claude Code generate, score, and rank likely causes.
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Review the Skillstore skill "reasoning-abductive" from https://skillstore.io/skills/bellabe-reasoning-abductive.md and its manifest at https://skillstore.io/api/skills/bellabe-reasoning-abductive/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Your Agent should still show its plan and request any confirmation required by the security policy.
Agent-readable resources
Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.
Test it
Using "reasoning-abductive". Enterprise conversion fell from 15 percent to 9 percent, while SMB conversion stayed stable.
Expected outcome:
The top explanation is likely enterprise sales cycle elongation, with account-manager changes as a contributing factor. The next step is to compare deal-stage aging, rep coverage, and delayed-close rates.
Using "reasoning-abductive". Mobile checkout abandonment rose sharply after a release, but desktop checkout stayed normal.
Expected outcome:
The strongest hypothesis is a mobile-specific regression or performance issue. The analysis would prioritize mobile load timing, error logs, device mix, and release rollback evidence.
Using "reasoning-abductive". A user study produced unexpectedly low satisfaction scores despite stable task completion rates.
Expected outcome:
Possible explanations include confusing copy, higher participant expectations, or friction after task completion. The output ranks causes and identifies interviews or session replays to review.
Security Audit
SafeAll static findings were reviewed against SKILL.md and found to be false positives. The detected backticks are Markdown code fences for type signatures, YAML examples, and plain text examples; the reconnaissance hits are ordinary anomaly-diagnosis phrasing. No prompt injection, data exfiltration intent, or executable behavior was found.
Risk Factors
⚙️ External commands (25)
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APA citation
BellaBe. (2026). reasoning-abductive security audit report (audit version 8) [Author version unspecified]. Skillstore. https://skillstore.io/skills/bellabe-reasoning-abductive/audits/8BibTeX citation
@techreport{bellabe-bellabe-reasoning-abductive-2026,
author = {BellaBe},
title = {reasoning-abductive security audit report (audit version 8)},
institution = {Skillstore},
year = {2026},
number = {8},
url = {https://skillstore.io/skills/bellabe-reasoning-abductive/audits/8},
note = {Author version unspecified}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "reasoning-abductive security audit report (audit version 8)"
version: "unspecified"
type: report
authors:
- name: "BellaBe"
date-released: "2026-07-06"
url: "https://skillstore.io/skills/bellabe-reasoning-abductive/audits/8"
identifiers:
- type: other
value: "skillstore:bellabe-reasoning-abductive:audit:8"
description: "Skillstore immutable audit report identifier"
Skillstore Score
Why this score Evidence Confidence: HighWhat You Can Build
Diagnose Product Metric Changes
Analyze conversion, retention, or usage changes and rank likely explanations before planning tests.
Investigate Operational Incidents
Turn incident symptoms into plausible causes, supporting evidence, contradictions, and validation steps.
Explain Research Anomalies
Evaluate surprising study results by comparing competing explanations and identifying missing evidence.
Try These Prompts
Use abductive reasoning to explain this observation: [describe the anomaly]. Generate at least five hypotheses, rank them, and list evidence needed to verify the top two.
Apply the four-stage abductive process to this metric change: [metric, baseline, current value, timeframe, affected segments]. Include supporting evidence, contradicting evidence, confidence, and next steps.
Evaluate these candidate causes for [observed effect]: [hypothesis list]. Score each one for explanatory power, simplicity, coherence, testability, and prior probability.
For this anomaly and current evidence, produce an abductive diagnosis with confidence bounds, ruled-out causes, evidence gaps, and a prioritized validation plan: [context and evidence].
Best Practices
- Provide baseline, current state, timeframe, and affected segments when possible.
- Include evidence that contradicts favorite hypotheses, not only supporting evidence.
- Treat the final ranking as a diagnosis plan until validation tests confirm the cause.
Avoid
- Do not stop after the first plausible explanation.
- Do not use this skill when the cause is already verified and execution planning is needed.
- Do not present confidence scores as proof without evidence or tests.