GA Chat

GA Chat is a skill for Claude Code, Codex from GuitarAlchemist/ga. It costs 38 tokens per session (2,796 once invoked), scanned A, original, MIT.

A local runbook for building and checking the Guitar Alchemist chatbot. It covers starting the required services, loading MongoDB data and testing the chat endpoint.

In plain words
What is it for?
Use it to build the .NET solution, start Aspire services, prepare Ollama and MongoDB, verify the chatbot and diagnose local failures.
Why use it?
It provides a repeatable way to start the chatbot locally or find out why it returns errors or does not respond.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/guitaralchemist/ga/chat
Any agent
npx skills add GuitarAlchemist/ga --skill chat
Clone the repo
git clone --depth 1 https://github.com/GuitarAlchemist/ga

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for GA Chat

README.md
[![agentmods](https://agentmods.dev/badge/skills/guitaralchemist/ga/chat.svg)](https://agentmods.dev/skills/guitaralchemist/ga/chat)
Your own site
<a href="https://agentmods.dev/skills/guitaralchemist/ga/chat"><img src="https://agentmods.dev/badge/skills/guitaralchemist/ga/chat.svg" alt="Measured on agentmods" height="20"></a>
Per session 38 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,796 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00038 $0.02796
Opus 5 $0.00019 $0.01398
Sonnet 5 $0.00008 $0.00559
Haiku 4.5 $0.00004 $0.00280

Measured 5d ago against content hash 814ddb74560e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

GA Chat scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

# Or check individual service health via curl
.agent/skills/ga/chat/SKILL.md · 325 lines

How it starts

The opening of the file, as written. The whole thing — 325 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/ga chat — GA Chat Skill

Use this sub-command when you need to start the Guitar Alchemist chatbot locally, verify it is responding, or diagnose why it is not working.

When to Use

  • User asks "is the chatbot working?"
  • User says "start the chatbot" / "run the chatbot"
  • Probing the chat endpoint before or after code changes
  • CI is green but you want to confirm end-to-end locally
  • Debugging why a chat request returns 404 or times out

Step 1 — Prerequisites Check

Verify all required tools are installed:

# .NET 10
dotnet --version   # must be 10.x

# Ollama (local LLM backend)
ollama --version
ollama list        # confirm a model is available (e.g. llama3.2)

# MongoDB (via Docker or local install)
docker ps | grep mongo
# OR
mongosh --eval "db.version()"

If Ollama has no models, pull one:

ollama pull llama3.2

Step 2 — Build the Solution

cd C:\Users\spare\source\repos\ga
dotnet build AllProjects.slnx -c Debug

Expected: Build succeeded. 0 Error(s)

If warnings fire for files you touched, fix them (IDE0305, IDE0022, etc.) per the C# coding standards.


Step 3 — Start All Services via Aspire

Architecture contract (non-negotiable):

  • Aspire orchestrates: MongoDB (Docker), Redis, all microservices
  • GaApi runs via dotnet run or via Aspire — never from a Docker image
  • Ollama runs natively at localhost:11434 (not Docker)
  • Aspire auto-injects ConnectionStrings__guitar-alchemist into GaApi; no manual MongoDB URL needed
pwsh Scripts/start-all.ps1 -NoBuild -Dashboard

This launches (via Aspire AppHost):

  • MongoDB (Docker, dynamic port, data persists via ga-mongodb-data volume)
  • MongoExpress UI at http://localhost:8081
  • GaApi (REST + SignalR) — actual port shown in Aspire dashboard
  • GaChatbot — internal Ollama-backed chatbot service
  • Aspire Dashboard at https://localhost:15001

Wait ~30 seconds for all services to become healthy.

Read the full file on GitHub · 325 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 5d ago First seen · 325 lines · 38 tokens per session scan A 814ddb74560e

Subscribe to this mod's changes

GA Chat is a skill published in the GitHub repository GuitarAlchemist/ga (2 stars, last pushed today), licensed MIT. It adds 38 tokens to every session and 2,796 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other skills, from other repositories

agent-platform-rag-engine-management

Manage and query Agent Platform RAG Engine Corpora and retrieve grounded contexts using the Google GenAI SDK. Use when listing RAG corpora or files, inspecting a corpus, retrieving contexts, or generating content grounded in a RAG corpus. Do not use for standard database queries (use SQL/Spanner skills), Google…

google/skills · 85 tokens

agent-platform-model-registry

Agent Platform Model Registry Management. Use when you need to upload, list, describe, update, or delete machine learning models (and their versions) in the Agent Platform Model Registry. Don't use for model training, model deployment to endpoints, or managing non-Agent Platform models.

google/skills · 60 tokens

foundry-config-setup

Resolve missing setup caused by a hardcoded Foundry project endpoint or model in a sample. Use when a sample fails because it uses a placeholder/hardcoded projectendpoint (for example "https://your-project.services.ai.azure.com") or a hardcoded model instead of reading them from the environment.

microsoft/agent-framework · 65 tokens

google-cloud-solution-agentic-analytics-spark-knowledge-catalog

Discovers requirements and generates guidance to design and deploy a governed, secure agentic-analytics solution for data that's distributed across Google Cloud, other cloud providers, or on-premises. Data that's outside Google Cloud (such as data from Databricks, Snowflake, Salesforce, SAP, or Oracle systems) is…

google/skills · 138 tokens

training-check

Interactively monitor training metrics from the current Codex session, periodically checking WandB or fallback logs for NaN, divergence, plateaus, and broken runs.

wanshuiyin/Auto-claude-code-research-in-sleep · 35 tokens

nemo-automodel-launcher-config

Configure NeMo AutoModel job launches for interactive runs, Slurm clusters, and SkyPilot cloud execution.

NVIDIA/skills · 30 tokens