setup

An interactive setup wizard for preparing a clean codebase. It guides users through choosing an AI provider, configuring API keys, installing dependencies, generating configuration, and starting the dashboard.

In plain words
What is it for?
It is for setting up a project with providers such as OpenAI, Azure, DeepSeek, Ollama, Qwen, or Gemini, preparing its dependencies and configuration, and launching its dashboard.
Why use it?
It gathers the setup decisions and configuration steps in one guided process. If a selected provider is not implemented, it can scaffold provider code according to the description.

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/sanshan1978/codeguard-rag-mcp/setup
Any agent
npx skills add sanshan1978/codeguard-rag-mcp --skill setup
Clone the repo
git clone --depth 1 https://github.com/sanshan1978/codeguard-rag-mcp

Made for: Claude Code, Codex.

Per session 139 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,017 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
Origin unknown 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 $0.00139 $0.03017
Opus 5 $0.00069 $0.01509
Sonnet 5 $0.00028 $0.00603
Haiku 4.5 $0.00014 $0.00302

Measured yesterday against content hash 9eabc2f64244, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

setup 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 yesterday.

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.

- Verify Ollama is running: `curl http://localhost:11434/api/tags` or equivalent
.github/skills/setup/SKILL.md · 298 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. yesterday First seen · 298 lines · 139 tokens per session scan A 9eabc2f64244

Subscribe to this mod's changes

setup is a skill published in the GitHub repository sanshan1978/codeguard-rag-mcp (0 stars, last pushed 5d ago), with no licence file. It adds 139 tokens to every session and 3,017 once invoked, about $0.0007 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.

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