Pantheon Session Reporter (Hermes)

Generate structured session summary reports from AI coding batch artifacts.

Updated Aug 27, 2026

Search Tags:#code generation #technical debt #reporting #ai coding #session summary #artifact aggregation

Ready to run

npx skills add https://github.com/jschulte/pantheon --skill pantheon-session-reporter-hermes

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: Pantheon Session Reporter (Hermes)
Source: https://github.com/jschulte/pantheon/tree/main/src/skills/pantheon-session-reporter
Command: npx skills add https://github.com/jschulte/pantheon --skill pantheon-session-reporter-hermes

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates the creation of comprehensive reports summarizing the outcomes of AI-driven coding sessions, consolidating artifacts and providing clear insights.

Core Features & Use Cases

Session Summarization: Generates executive overviews, feature delivery details, and technical summaries.
Artifact Aggregation: Collects and processes completion artifacts from multiple stories.
Use Case: After a batch of AI coding stories is processed, use this Skill to generate a single markdown report detailing which stories succeeded, which failed, key metrics like files changed and tests added, and any outstanding technical debt.

Quick Start

Generate a session report for the completed sprint artifacts located in '/path/to/sprint/artifacts' using the story keys 'story-123, story-456'.

Frequently Asked Questions about Pantheon Session Reporter (Hermes)

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

FAQPage Schema

How do I generate a summary report for AI coding sessions?▼

To generate a session summary report for AI coding sessions, input the sprint artifacts path and a list of story keys. The tool aggregates completion data, metrics, and issues into a structured markdown overview.

What is artifact aggregation for AI coding batch processing?▼

Artifact aggregation for AI coding batch processing collects completion outputs from multiple stories. It consolidates files changed, tests added, and outstanding technical debt into a single technical documentation report.

Can I track technical debt and failed stories after AI code generation?▼

Yes, you can track technical debt and failed stories after AI code generation. The session reporter highlights which stories succeeded or failed and documents any outstanding technical debt within the executive overview.

What format do I need to provide sprint artifacts in for session reporting?▼

You need to provide sprint artifacts as a directory path containing batch processing outputs, along with a comma-separated list of story keys. The tool accesses these artifacts to extract metrics for the final report.

Does the session reporter work without dependencies for artifact aggregation?▼

Yes, the session reporter works without external dependencies for artifact aggregation. It operates independently to process sprint artifacts and generate structured markdown documentation detailing AI coding session outcomes.

What is the best way to summarize multiple AI coding stories for an executive overview?▼

The best way to summarize multiple AI coding stories for an executive overview is using an artifact aggregation tool. It automatically processes batch story keys to consolidate metrics, feature delivery details, and technical debt into one report.