install

install is an agent for Claude Code from namastexlabs/automagik-tools. It costs 11 tokens per session (3,726 once invoked), scanned A, a copy of install, Apache-2.0.

A setup agent for installing the Genie template and command-line tools in a new software project.

In plain words
What is it for?
It is for starting Genie in a new project and configuring the development tools and project-specific settings.
Why use it?
It reduces the work of preparing a project for Genie by gathering project details, applying the setup, and checking the result.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md). Also seen: mentions CLAUDE.md; positional $N argument; mentions AGENTS.md.

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 agents/namastexlabs/automagik-tools/install
Clone the repo
git clone --depth 1 https://github.com/namastexlabs/automagik-tools

Made for: Claude Code.

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 install

README.md
[![agentmods](https://agentmods.dev/badge/agents/namastexlabs/automagik-tools/install.svg)](https://agentmods.dev/agents/namastexlabs/automagik-tools/install)
Your own site
<a href="https://agentmods.dev/agents/namastexlabs/automagik-tools/install"><img src="https://agentmods.dev/badge/agents/namastexlabs/automagik-tools/install.svg" alt="Measured on agentmods" height="20"></a>
Per session 11 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 3,726 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 100% copy Near-identical to another mod 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 5.1 $0.00011 $0.03726
Opus 5 $0.00005 $0.01863
Sonnet 5 $0.00002 $0.00745
Haiku 4.5 $0.00001 $0.00373

Measured 6d ago against content hash 5340e0170e25, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

install scanned grade A with 0 findings 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 6d 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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

100% identical to install — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.genie/code/agents/install.md · 516 lines

How it starts

The opening of the file, as written. The whole thing — 516 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Framework Reference

This agent uses the universal prompting framework documented in AGENTS.md §Prompting Standards Framework:

  • Task Breakdown Structure (Discovery → Implementation → Verification)
  • Context Gathering Protocol (when to explore vs escalate)
  • Blocker Report Protocol (when to halt and document)
  • Done Report Template (standard evidence format)

Customize phases below for Genie installation.

Mandatory Context Loading

MUST load workspace context using mcp__genie__get_workspace_info before proceeding.

Code Collective Install Agent

Your Role: Setup development infrastructure for this project through interactive conversation.

Context from Master Genie

You receive explorer context from Master Genie in your task description:

{
  "project": { "name": "...", "purpose": "...", "domain": "..." },
  "tech": { "languages": [], "frameworks": [], "packageManager": "..." },
  "architecture": { "type": "...", "structure": {}, "entryPoints": [] },
  "progress": { "commits": 0, "features": [], "status": "..." }
}

Use this as a starting point - validate with user during technical interview.

Workflow Phases

1. Discovery: Understand Development Preferences

  • Review explorer context (project name, tech stack, architecture)
  • Conduct Technical Interview (Git workflow, CI/CD, testing preferences)
  • Validate detected technologies with user

2. Implementation: Setup Development Infrastructure

  • Create .genie/product/tech-stack.md (technical details only)
  • Create .genie/product/environment.md (dev setup, env vars)
  • Setup Git hooks (pre-commit, pre-push)
  • Configure CI/CD workflows (GitHub Actions, GitLab CI, etc.)
  • Initialize testing structure (framework-specific)
  • Create/append to .genie/CONTEXT.md (technical section)
  • Update .gitignore (protect .genie/CONTEXT.md)

3. Verification: Validate Installation

  • Test Git hooks execution
  • Validate CI/CD configuration
  • Confirm test structure works
  • Capture Done Report with evidence

Read the full file on GitHub · 516 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. 6d ago First seen · 516 lines · 11 tokens per session scan A 5340e0170e25

Subscribe to this mod's changes

install is an agent published in the GitHub repository namastexlabs/automagik-tools (15 stars, last pushed 9mo ago), licensed Apache-2.0. It adds 11 tokens to every session and 3,726 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to install, differing in 0 lines, and is treated as a copy.

Related

Other agents, from other repositories

kingdee-qa-engineer

QA & Test Engineer for the kingdee-mcp project. Authors evals/ and tests/ cases, reproduces bugs against the live K3Cloud environment, and runs regression scans via bin/kmcp test.

WaHaiLong/KingdeeMCP · 49 tokens

security-reviewer

Use after changes to auth.py, credential handling, HTTP request code, sitemap fetching, or quota management. Reviews for SSRF vulnerabilities, credential leaks, API key exposure, and quota exhaustion risks. Read-only: reports issues without fixing them.

FlorianBruniaux/google-search-console-mcp · 0 tokens

gsc-sitemap-auditor

Audits all submitted sitemaps for a property. Use when asked about sitemap health, submitted vs. indexed counts, sitemap errors, or why certain pages are not getting crawled. Aussi déclenché en français par "mon sitemap est à jour", "problème de sitemap", "pourquoi les URLs de mon sitemap sont pas indexées", "combien…

FlorianBruniaux/google-search-console-mcp · 98 tokens

regen

Re-runs the Wiswa generator, applies post-processing, verifies the result is safe, and commits. Use when .wiswa.jsonnet or managed templates change.

Tatsh/wiswa-mcp · 36 tokens

badge-sync

Synchronises the badge list in docs/badges.rst with README.md. Use after editing the README badge block or when docs and README drift.

Tatsh/wiswa-mcp · 33 tokens

operations-analyst

Operations and process analysis agent. Handles statistical process control, optimization, capacity planning, and efficiency analysis. Use when analyzing operational performance, quality control, or resource allocation.

ChrisGVE/localdata-mcp · 38 tokens