generate-report

Name: generate-report
Availability: InStock
Author: SingularAgency

Analyzes Read AI transcripts to generate an evidence-based HTML trustworthiness report.

Updated Aug 27, 2026

Search Tags:#rubric #transcripts #meeting-analysis #trustworthiness #read-ai #talent-evaluation

Ready to run

npx skills add https://github.com/SingularAgency/claude-marketplace --skill generate-report-singularagency

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: generate-report
Source: https://github.com/SingularAgency/claude-marketplace/tree/main/plugins/trustworthiness-report/skills/generate-report
Command: npx skills add https://github.com/SingularAgency/claude-marketplace --skill generate-report-singularagency

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyzes Read AI meeting transcripts to produce an evidence-based Trustworthiness Report for a named talent, enabling objective evaluation from actual meeting participation.

Core Features & Use Cases

Evidence-based evaluation across Read AI transcripts from the past month.
Multi-criteria scoring across Credibility, Reliability, Intimacy, Group Thinking, and English Proficiency.
Self-contained HTML report with inline styling for easy sharing and archival.

Quick Start

Provide the talent's name and target month/year, then run the report generation to produce a self-contained HTML file.

Frequently Asked Questions about generate-report

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

FAQPage Schema

How do I generate a trustworthiness report from Read AI transcripts?▼

To generate a trustworthiness report from Read AI transcripts, provide a talent's name and target month. The tool analyzes past 30 days of meeting participation and outputs a self-contained HTML file with scored criteria.

What criteria are used to evaluate talent trustworthiness in meeting analysis?▼

Talent trustworthiness evaluation in meeting analysis scores five criteria: Credibility, Reliability, Intimacy, Group Thinking, and English Proficiency. Evidence is extracted from Read AI transcripts and mapped to a defined scoring rubric.

Can I analyze Read AI transcripts older than 30 days for talent evaluation?▼

No, talent evaluation is limited to Read AI transcripts from the past 30 days. Meeting analysis strictly filters by this timeframe to ensure relevance and produce an evidence-based trustworthiness report.

What is the best way to share a trustworthiness report generated from meeting transcripts?▼

The best way to share a trustworthiness report is via its self-contained HTML output. The generated file features inline styling for professional presentation, making it ready for easy sharing and archival without external dependencies.

Do I need a specific scoring rubric to evaluate Read AI transcripts for talent evaluation?▼

Yes, talent evaluation requires a specific scoring rubric to analyze Read AI transcripts. The process satisfies a predefined rubric to objectively score Credibility, Reliability, Intimacy, Group Thinking, and English Proficiency from meeting participation.