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 skills add WalterSumbon/minicode-sdk --skill minicode-contributinggit clone --depth 1 https://github.com/WalterSumbon/minicode-sdkWrote 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.
[](https://agentmods.dev/skills/waltersumbon/minicode-sdk/minicode-contributing)<a href="https://agentmods.dev/skills/waltersumbon/minicode-sdk/minicode-contributing"><img src="https://agentmods.dev/badge/skills/waltersumbon/minicode-sdk/minicode-contributing.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00042 | $0.00773 |
| Opus 5 | $0.00021 | $0.00387 |
| Sonnet 5 | $0.00008 | $0.00155 |
| Haiku 4.5 | $0.00004 | $0.00077 |
Grade A, and why
minicode_contributing 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.
How it starts
The opening of the file, as written. The whole thing — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Contributing to minicode-sdk
Project Structure
minicode-sdk/
├── src/minicode/ # Main source code
│ ├── __init__.py # Package exports
│ ├── agent.py # Core Agent implementation
│ ├── config.py # Global configuration (MCP, Agent Instructions)
│ ├── llm/ # LLM implementations
│ │ ├── base.py # BaseLLM abstract class
│ │ └── openai.py # OpenAI implementation
│ ├── tools/ # Tool system
│ │ ├── base.py # BaseTool abstract class
│ │ ├── registry.py # Tool registry
│ │ └── builtin/ # Built-in tools
│ ├── mcp/ # MCP integration
│ │ ├── client.py # MCP client
│ │ └── transport.py # Transport layer
│ ├── skills/ # Skills system
│ │ └── loader.py # Skills loader
│ └── session/ # Session management
│ ├── message.py # Message types
│ ├── session.py # Session class
│ ├── manager.py # Session manager
│ └── prompt.py # Prompt management
├── tests/ # Test suite
├── examples/ # Example scripts
├── .minicode/ # Project configuration
│ ├── mcp.json # MCP server config
│ ├── AGENT.md # Agent instructions
│ └── skills/ # Project skills
└── docs/ # Documentation
Configuration Files
The .minicode/ directory contains project-level configurations:
mcp.json- MCP server configurationsAGENT.md- Agent behavior instructionsskills/- Custom skills for the project
Code Style Guidelines
- Docstrings: Use Google-style docstrings for all public functions and classes
- Type hints: All function parameters and return values must have type annotations
- Comments: Use English for code comments
- Imports: Group imports in order: standard library, third-party, local
Adding New Features
Adding a New Tool
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.
- 6d ago First seen · 86 lines · 42 tokens per session scan A e11df1b80239
minicode_contributing is a skill published in the GitHub repository WalterSumbon/minicode-sdk (2 stars, last pushed 7mo ago), licensed MIT. It adds 42 tokens to every session and 773 once invoked, about $0.0002 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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