interrogation

Run one-question-at-a-time interviews that update artifacts from evidence.

20|3|Updated May 14, 2026
One-click install
npx skills add https://github.com/cyberAlchemyAI/Arcanum --skill interrogation-cyberalchemyai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: interrogation
Source: https://github.com/cyberAlchemyAI/Arcanum/tree/main/.claude/skills/interrogation
Command: npx skills add https://github.com/cyberAlchemyAI/Arcanum --skill interrogation-cyberalchemyai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Structured Interview Kits solve the problem of sprawling, ill-defined interviews by enforcing a one-question cadence, tying each answer to a concrete artifact, and guiding mode selection to ensure consistent outcomes.

Core Features & Use Cases

  • One-question cadence: Ask a single discriminating question per turn to control scope.
  • Evidence-backed prompts: Generate questions from observed evidence and explicit uncertainties.
  • Artifact synchronization: Patch artifacts immediately when answers change state.
  • Mode-driven workflow: Support pluggable interview modes with clear applicability and exit criteria.
  • Use Case: Discovery and readiness assessments across domains requiring traceable decisions.

Quick Start

Start a structured interview by selecting a mode, then ask one evidence-backed question and update the target artifact after receiving the answer.

Frequently Asked Questions about interrogation

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

FAQPage Schema
How do I conduct structured interviews that update artifacts with evidence-backed decisions?

Structured interviews use a one-question-at-a-time cadence to control scope, generating evidence-backed prompts and immediately patching target artifacts when answers change state. This approach guides mode selection and maintains a formal decision trace for traceable outcomes.

What is the best way to run discovery and readiness assessments with traceable decision traces?

Running discovery and readiness assessments requires mode-driven workflows with clear applicability signals and exit criteria. A formal output contract maintains a decision trace, while evidence baselining ensures each question draws from observed data and explicit uncertainties.

Can I use programmable interview modes for domain-specific planning reviews?

Programmable interview modes support defined applicability signals and question fields for domain-specific planning reviews. A mode-extension contract enforces consistent behavior, allowing you to plug in custom modes while guiding artifact mutation and exit criteria.

How do I start a one-question interview session and synchronize answers to artifacts?

Start a one-question interview session by selecting a mode, then ask a single evidence-backed question. After receiving the answer, synchronize artifacts by immediately applying patches that reflect the changed state, ensuring explicit exit criteria are tracked throughout.

Does this approach support mode extension contracts for custom interview workflows?

Mode extension contracts explicitly support custom interview workflows by enforcing programmable modes with defined applicability signals and question fields. This ensures mode selection remains consistent while artifact mutation and evidence baselining follow the formal output contract.

When should I avoid one-question interview cadence for artifact updates?

One-question interview cadence should be avoided when rapid, unstructured data collection is needed without artifact synchronization or decision tracing. If your workflow bypasses evidence baselining, mode selection, or formal output contracts, this structured approach adds unnecessary overhead.