test-voice-report

Generate simulated voice call reports from text transcripts for testing.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/cncorp/arsenal --skill test-voice-report
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: test-voice-report
Source: https://github.com/cncorp/arsenal/tree/main/dot-claude/skills/test-voice-report
Command: npx skills add https://github.com/cncorp/arsenal --skill test-voice-report

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill provides end-to-end testing of voice call report generation using sample transcripts, without making real calls.

Core Features & Use Cases

  • Transcript-driven testing: generate a simulated VOICE conversation from transcripts.
  • Langfuse prompt validation: verify the Langfuse prompt with varied transcripts.
  • Report preview: see the generated report before sharing.

Quick Start

Run the test with an existing transcript: docker compose exec api python src/scripts/test_voice_call_report.py --transcript dot-claude/skills/test-voice-report/transcripts/yard_chores.txt --duration 480

Frequently Asked Questions about test-voice-report

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

FAQPage Schema
How do I test voice call report generation without making real calls?

Voice call report testing uses simulated conversations generated from text transcripts. This Skill creates end-to-end test scenarios by converting sample transcripts into voice conversation reports, allowing you to validate reporting workflows and prompt behavior without live call infrastructure.

Can I validate Langfuse prompts with different transcript patterns?

Yes. The Skill runs transcript-driven testing that applies varied transcripts to verify Langfuse prompt validation. You specify transcript files and parameters like duration and conversation ID to test reporting quality and prompt behavior across multiple conversation patterns.

What do I need to set up before generating a simulated voice report?

Prepare a text transcript file in the required format, then specify the transcript path, duration in seconds, and group conversation ID as command parameters. The Skill handles the rest—generating the simulated conversation and Langfuse-based report output.

How do I preview a generated voice report before sharing it?

After running the test command with your transcript, the Skill generates and displays a report preview. You can review the output in the terminal before the report is delivered to the GROUP conversation, allowing you to validate content and formatting first.

Does this work for testing multi-participant voice conversations?

Yes. The Skill handles group-conversation-id parsing and supports multiple conversation patterns. It covers end-to-end testing scenarios including group calls, enabling you to debug and validate reporting across different participant configurations.

What transcript formats and parsing modes does the tool support?

The Skill accepts text transcript files and applies parsing modes to extract conversation structure, duration, and group IDs. It processes these to generate accurate voice call reports compatible with Langfuse-based reporting workflows.