reasoning-counterfactual
Evaluate Counterfactual Decisions
Teams often struggle to learn from decisions without overfitting to hindsight. This skill structures counterfactual analysis with minimal interventions, probability weights, and clear comparison outputs.
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Review the Skillstore skill "reasoning-counterfactual" from https://skillstore.io/skills/bellabe-reasoning-counterfactual.md and its manifest at https://skillstore.io/api/skills/bellabe-reasoning-counterfactual/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-counterfactual". Should we have lowered enterprise pricing before launch?
Expected outcome:
- The lower price alternative likely improves sales velocity and deal count.
- The expected revenue gain is moderate because each deal is smaller.
- Confidence is medium because customer quality and sales behavior remain uncertain.
- Recommendation: test a lower entry tier before changing the whole pricing model.
Using "reasoning-counterfactual". What if we had accepted funding instead of staying bootstrapped?
Expected outcome:
- The funded path likely increases growth speed and hiring capacity.
- Ownership dilution reduces part of the financial upside.
- The two paths appear similar in expected value but differ in risk profile.
- Recommendation: use funding only if growth constraints become the main blocker.
Using "reasoning-counterfactual". What if we delayed launch by one quarter to improve quality?
Expected outcome:
- The delayed launch likely reduces early support issues and improves retention.
- It also postpones customer learning and near-term revenue.
- The better choice depends on defect severity and runway pressure.
- Recommendation: compare delay cost against the expected churn reduction.
Security Audit
SafeAll static findings are false positives caused by Markdown code fences and ordinary reasoning text in SKILL.md. No evidence found of prompt injection, command execution, data exfiltration, system reconnaissance, filesystem access, or network behavior.
Risk Factors
⚙️ External commands (25)
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APA citation
BellaBe. (2026). reasoning-counterfactual security audit report (audit version 8) [Author version unspecified]. Skillstore. https://skillstore.io/skills/bellabe-reasoning-counterfactual/audits/8BibTeX citation
@techreport{bellabe-bellabe-reasoning-counterfactual-2026,
author = {BellaBe},
title = {reasoning-counterfactual security audit report (audit version 8)},
institution = {Skillstore},
year = {2026},
number = {8},
url = {https://skillstore.io/skills/bellabe-reasoning-counterfactual/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-counterfactual 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-counterfactual/audits/8"
identifiers:
- type: other
value: "skillstore:bellabe-reasoning-counterfactual:audit:8"
description: "Skillstore immutable audit report identifier"
Skillstore Score
Why this score Evidence Confidence: HighWhat You Can Build
Review a product decision
Assess whether a launch, pricing, or roadmap choice likely outperformed available alternatives.
Plan a strategic scenario
Compare likely outcomes if a competitor, market, or internal constraint changes.
Learn from past outcomes
Convert a completed project result into practical lessons for future decisions.
Try These Prompts
Use counterfactual reasoning to evaluate this decision: [decision]. Actual outcome: [outcome]. Alternative to test: [alternative].
Analyze what likely would have changed if we chose [option B] instead of [option A]. Include assumptions, probabilities, and tradeoffs.
Model expected, optimistic, and pessimistic outcomes for this intervention: [intervention]. Compare against our current path using probability weights.
Evaluate these alternatives to our actual decision: [alternatives]. Rank them by outcome quality, confidence, feasibility, and lessons for future action.
Best Practices
- State the actual decision, date, context, and observed outcome before testing alternatives.
- Change one variable at a time and document assumptions that remain constant.
- Use probability weights and confidence levels instead of single certain outcomes.
Avoid
- Do not judge the past using information that was unavailable at the time.
- Do not compare alternatives without explaining the causal chain behind each outcome.
- Do not treat speculative projections as proof of what would have happened.