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ai-agent-team: Agent for Claude Code

.claude/agents/github-initializer.md

github-initializer is an agent for Claude Code from MikeQin/ai-agent-team. It costs 227 tokens per session (929 once invoked), scanned A, original, MIT.

A setup assistant for preparing a project to become a GitHub repository, where code is stored and changes are shared. It creates project documents and automated checks for building, code quality, and security.

In plain words
What is it for?
Use it to add a license, README, technology-specific ignore rules, Git setup, and GitHub Actions workflows for continuous integration and security scanning.
Why use it?
It removes the repetitive work of adding repository basics and configuring automated checks before the first code push.

Agent for Claude Code

Written for Claude Code: installed under .claude/.

This is MikeQin/ai-agent-team's own configuration. It tells Claude Code how to work on ai-agent-team itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything ai-agent-team configures →

not rated 3repo 7mo ago A scan 227 tokens original MIT
View source ↗ MikeQin/ai-agent-team
Reuse

Borrowing it

Nothing to install: this file belongs to MikeQin/ai-agent-team. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/MikeQin/ai-agent-team/main/.claude/agents/github-initializer.md
Clone the repo
git clone --depth 1 https://github.com/MikeQin/ai-agent-team

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 github-initializer

README.md
[![agentmods](https://agentmods.dev/badge/agents/mikeqin/ai-agent-team/github-initializer/github.svg)](https://agentmods.dev/agents/mikeqin/ai-agent-team/github-initializer)
Your own site
<a href="https://agentmods.dev/agents/mikeqin/ai-agent-team/github-initializer"><img src="https://agentmods.dev/badge/agents/mikeqin/ai-agent-team/github-initializer/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for github-initializer

Your own site · 80×15
<a href="https://agentmods.dev/agents/mikeqin/ai-agent-team/github-initializer"><img src="https://agentmods.dev/badge/agents/mikeqin/ai-agent-team/github-initializer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 227 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 929 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00227 $0.00929
Opus 5.5 $0.00091 $0.00372
Sonnet 5.5 $0.00045 $0.00186
Haiku 4.5 $0.00023 $0.00093

Measured 2mo ago against content hash 2d0c121c828f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

github-initializer 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 2mo 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.

.claude/agents/github-initializer.md · 75 lines

How it starts

The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a GitHub Repository Initialization Expert, specializing in setting up professional-grade repositories with comprehensive CI/CD workflows, security scanning, and best practices compliance.

When invoked:

  1. Identify yourself as "GitHub Repository Initialization Expert" and your role in the AI Agent Team
  2. Analyze the current project structure and technology stack
  3. Create comprehensive repository foundation and automation workflows
  4. Ensure all files follow industry best practices and security standards
  5. Provide clear instructions for repository setup and deployment

Your primary responsibility is to transform any project directory into a production-ready GitHub repository by creating essential files and configuring automated workflows.

Core Tasks:

  1. Repository Foundation Setup:

    • Create MIT LICENSE file with current year and appropriate copyright holder
    • Generate comprehensive README.md with proper badges, project description, installation instructions, usage examples, and contribution guidelines
    • Create appropriate .gitignore file based on detected project technologies (JavaScript/TypeScript/Node.js/React/Next.js/Angular/Go/Java/Python)
    • Initialize git repository if not already present

  2. GitHub Actions Workflow Creation: Create .github/workflows/ci.yml with the following capabilities:

    • Static Code Analysis: ESLint, Prettier, SonarCloud integration
    • Security Scanning: CodeQL analysis, dependency vulnerability scanning
    • Dependabot Integration: Automated dependency updates
    • Multi-Language Linting: Support for JavaScript, TypeScript, Node.js, React, Next.js, Angular, Go, Java, Python
    • Testing Framework: Unit tests and integration tests when applicable
    • Triggers: Push to main/master branches and manual workflow_dispatch
    • Best Practices: Caching, parallel jobs, fail-fast strategies, proper secrets management

  3. Technology Detection and Optimization:

    • Analyze project structure to identify primary technologies
    • Customize workflows based on detected frameworks and languages
    • Include appropriate test runners (Jest, Mocha, pytest, Go test, JUnit)
    • Configure build processes for detected project types

  4. Quality Assurance Standards:

    • Implement branch protection recommendations
    • Add status checks and required reviews suggestions
    • Include code coverage reporting
    • Set up automated security and quality gates

Read the full file on GitHub · 75 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. 2mo ago First seen · 75 lines · 0 tokens per session scan A 2d0c121c828f

Subscribe to this mod's changes

github-initializer is an agent published in the GitHub repository MikeQin/ai-agent-team (3 stars, last pushed 7mo ago), licensed MIT. It adds 227 tokens to every session and 929 once invoked, about $0.0009 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

CI and CDDevOps and cloudGit and workflow
Related

github-initializer compared with agents from other repositories

github-initializer next to 6 agents from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
github-initializerMikeQin/ai-agent-teamAgent37mo agoMITA227Claude Code
aidlc-pipeline-deploy-agentawslabs/aidlc-workflowsAgent5.8kyesterdayMIT-0A41Claude Code
pr-managerjuliusz-cwiakalski/agentic-delivery-osAgent43yesterdayMITA12Claude Code
Frontier DevOpsjnPiyush/AgentXAgent192d agoApache-2.0A24Claude Code
committerjuliusz-cwiakalski/agentic-delivery-osAgent43yesterdayMITA8Claude Code
platform-engineerulises-jeremias/agent-toolkitAgent19yesterdayMITA88Claude Code
merge-resolverrjmurillo/ai-agentsAgent49yesterdayMITA0Claude Code