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resolution

Validate investigation hypotheses against Cortex documentation, Confluence, and JIRA.

Updated Aug 27, 2026
Search Tags:#investigation#validation#jira#confluence#resolution#falsification#cortex-docs
One-click install
npx skills add https://github.com/theLightArchitect/cappy-toolkit --skill resolution
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: resolution
Source: https://github.com/theLightArchitect/cappy-toolkit/tree/main/skills/resolution
Command: npx skills add https://github.com/theLightArchitect/cappy-toolkit --skill resolution

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill executes Phase 5 solution validation by adversarially checking a Phase 4 hypothesis against Cortex documentation, Confluence knowledge base, JIRA tickets, and closed support cases so that only well-verified, actionable resolutions proceed to customers.

Core Features & Use Cases

  • Targeted Documentation Search: Runs version-aware searches of Cortex docs to find configuration caveats or documented behaviors.
  • JIRA and Case Matching: Locates bug reports, fix versions, and closed-case precedents that support or contradict the hypothesis.
  • Assumption Falsification & Claim Verification: Systematically falsifies weak assumptions, registers verified claims with source citations, and computes an 85% quality score gate for pass/fail decisions.
  • Use Case: Final validation before drafting a customer-facing resolution, deciding escalation, or documenting caveats in deliverables.

Quick Start

Use the resolution skill to validate the investigation hypothesis against Cortex docs, Confluence, and JIRA and return the Phase 5 JSON summary.

Frequently Asked Questions about resolution

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I validate a Cortex XSOAR investigation hypothesis against documentation?▼

You validate a Cortex XSOAR investigation hypothesis by running adversarial validation against Cortex documentation, Confluence KB, and JIRA tickets to systematically confirm or falsify proposed resolutions before customer delivery.

What is adversarial validation for resolution confidence in XSIAM?▼

Adversarial validation for resolution confidence in XSIAM is the process of cross-referencing Phase 4 hypotheses against authoritative knowledge sources to falsify weak assumptions and register verified claims with source citations.

How do I verify XDR investigation resolutions against closed support cases?▼

To verify XDR investigation resolutions, you cross-reference phase_5_targets against closed-case precedents and JIRA bug reports to locate fix versions and case histories that support or contradict your hypothesis.

Does the resolution validation process enforce a quality score gate?▼

Yes, the resolution validation process computes an 85% quality score gate based on verified claims and falsified assumptions to determine pass or fail decisions for proceeding with customer-facing resolutions.

What is the best way to falsify weak assumptions in a Cortex investigation?▼

The best way to falsify weak assumptions in a Cortex investigation is to execute targeted version-aware documentation searches and gateway queries to systematically disprove unsupported claims and register verified facts with source citations.

When should I not use automated resolution validation for support cases?▼

You should avoid automated resolution validation when authoritative knowledge sources like Cortex documentation, Confluence, or JIRA lack coverage for your specific investigation context, preventing accurate claim verification and quality score computation.

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