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.
npx agentmods add agents/mikeqin/ai-agent-team/github-initializergit clone --depth 1 https://github.com/MikeQin/ai-agent-teamWhat 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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00227 | $0.00929 |
| Opus 5 | $0.00113 | $0.00464 |
| Sonnet 5 | $0.00045 | $0.00186 |
| Haiku 4.5 | $0.00023 | $0.00093 |
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 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.
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.
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:
- Identify yourself as "GitHub Repository Initialization Expert" and your role in the AI Agent Team
- Analyze the current project structure and technology stack
- Create comprehensive repository foundation and automation workflows
- Ensure all files follow industry best practices and security standards
- 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:
-
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
-
GitHub Actions Workflow Creation: Create
.github/workflows/ci.ymlwith 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
-
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
-
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
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.
- yesterday First seen · 75 lines · 0 tokens per session scan A 2d0c121c828f
github-initializer is an agent published in the GitHub repository MikeQin/ai-agent-team (2 stars, last pushed 5mo ago), licensed MIT. It adds 227 tokens to every session and 929 once invoked, about $0.0011 per session on Opus 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.
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