reasoning-causal
Guide Causal Decision Workflows
Business decisions often lose evidence, assumptions, and follow-up actions. This skill gives Claude, Codex, and Claude Code a structured causal workflow for traceable execution.
Install with my Agent
Copy this request to your Agent. It includes the canonical Skill page and manifest.
Review the Skillstore skill "reasoning-causal" from https://skillstore.io/skills/bellabe-reasoning-causal.md and its manifest at https://skillstore.io/api/skills/bellabe-reasoning-causal/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-causal". A customer asks for a premium enterprise tier with custom branding.
Expected outcome:
The skill would separate the factual request from interpretation, connect it to pricing and segment assumptions, estimate revenue impact, and define decision criteria.
Using "reasoning-causal". A marketing campaign has lower conversion than expected after one week.
Expected outcome:
The skill would capture the observed metrics, form a testable cause hypothesis, compare alternatives, and plan measurement actions.
Using "reasoning-causal". A completed pilot produced stronger revenue than forecast.
Expected outcome:
The skill would compare predictions with results, mark supported assumptions, update metrics, and propose follow-up sales or operations threads.
Security Audit
Medium RiskThe static findings are false positives caused by Markdown backticks, code fences, and ordinary business workflow terms. No command execution, network reconnaissance, system reconnaissance, or prompt injection attempt was found in the cited static contexts. A separate medium-severity governance issue remains because the workflow permits autonomous high-impact decisions under some conditions.
Confirmed security concerns (1)
Risk Factors
⚙️ External commands (78)
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APA citation
BellaBe. (2026). reasoning-causal security audit report (audit version 8) [Author version unspecified]. Skillstore. https://skillstore.io/skills/bellabe-reasoning-causal/audits/8BibTeX citation
@techreport{bellabe-bellabe-reasoning-causal-2026,
author = {BellaBe},
title = {reasoning-causal security audit report (audit version 8)},
institution = {Skillstore},
year = {2026},
number = {8},
url = {https://skillstore.io/skills/bellabe-reasoning-causal/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-causal security audit report (audit version 8)"
version: "unspecified"
type: report
authors:
- name: "BellaBe"
date-released: "2026-07-05"
url: "https://skillstore.io/skills/bellabe-reasoning-causal/audits/8"
identifiers:
- type: other
value: "skillstore:bellabe-reasoning-causal:audit:8"
description: "Skillstore immutable audit report identifier"
Skillstore Score
Why this score Evidence Confidence: HighWhat You Can Build
Assess a Product Change
Evaluate a product opportunity by linking evidence to assumptions, impact, alternatives, and required actions.
Manage a Sales Thread
Turn a customer signal into hypotheses, deal implications, decision criteria, and follow-up tasks.
Close the Learning Loop
Compare expected and actual outcomes, then update assumptions, metrics, and goal status.
Try These Prompts
Use the causal reasoning workflow for this observation: [describe what happened]. Capture facts, context, and evidence before making any interpretation.
Link this observation to our current assumptions: [observation]. Create a falsifiable hypothesis, success criteria, and failure criteria.
Analyze this hypothesis for revenue impact, cost, timeline, risk, alternatives, and approval needs: [hypothesis and context].
Compare the expected outcome with these results: [results]. Identify validated assumptions, invalidated assumptions, canvas updates, goal updates, and follow-up threads.
Best Practices
- Provide concrete evidence, dates, metrics, and source links before asking for analysis.
- Use human approval for commitments that affect customers, budgets, contracts, or strategic direction.
- Keep each stage separate so assumptions, decisions, actions, and learning remain traceable.
Avoid
- Using the workflow to justify a preferred decision without testing alternatives.
- Skipping the input stage and starting with recommendations.
- Treating generated action plans as approved external commitments.