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 ArabelaTso/Skills-4-SE --skill module-component-generatorgit clone --depth 1 https://github.com/ArabelaTso/Skills-4-SEWrote 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/arabelatso/skills-4-se/module-component-generator)<a href="https://agentmods.dev/skills/arabelatso/skills-4-se/module-component-generator"><img src="https://agentmods.dev/badge/skills/arabelatso/skills-4-se/module-component-generator/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.
<a href="https://agentmods.dev/skills/arabelatso/skills-4-se/module-component-generator"><img src="https://agentmods.dev/badge/skills/arabelatso/skills-4-se/module-component-generator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00096 | $0.01779 |
| Opus 5.5 | $0.00038 | $0.00712 |
| Sonnet 5.5 | $0.00019 | $0.00356 |
| Haiku 4.5 | $0.00010 | $0.00178 |
Grade A, and why
module-component-generator 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 1mo 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 — 320 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Module/Component Generator
Generate complete, production-ready modules and components from interface contracts and specifications.
Quick Start
When a user provides an interface contract or requests a module:
- Understand the contract: Analyze the interface, abstract class, or specification
- Determine scope: Clarify if generating single implementation or full module
- Select patterns: Choose appropriate design patterns and structure
- Generate code: Create implementation with proper structure and documentation
- Add documentation: Include comprehensive docstrings and usage examples
What This Skill Generates
Interface Implementations
Generate concrete implementations from:
- Python Protocols and Abstract Base Classes
- Java interfaces and abstract classes
- Complete with validation, error handling, and documentation
Complete Modules
Generate multi-file modules with:
- Domain models
- Repository/data access layer
- Service/business logic layer
- Custom exceptions
- Comprehensive documentation
Documentation
Generate for all code:
- Module-level documentation
- Class and method docstrings
- Usage examples
- API reference documentation
Generation Scope
Single Interface Implementation
When to use:
- User provides a single interface/protocol/abstract class
- Need one concrete implementation
- Simple, focused functionality
What to generate:
- Implementation class with all required methods
- Input validation
- Error handling
- Docstrings with examples
- Basic usage example
Full Module Generation
When to use:
- Building a complete feature or service
- Need multiple related classes
- Require layered architecture (model, repository, service)
What to generate:
- Domain models with validation
- Repository layer for data access
- Service layer for business logic
- Custom exception hierarchy
- Module-level documentation
- Complete usage examples
Language-Specific Guidance
Python
Patterns and conventions:
- Use type hints for all parameters and returns
- Use
Protocolfor structural typing - Use
ABCfor inheritance-based contracts - Follow PEP 8 style guidelines
- Use dataclasses or Pydantic for models
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.
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.
- 1mo ago First seen · 320 lines · 96 tokens per session scan A b1ed4f77bc93
module-component-generator is a skill published in the GitHub repository ArabelaTso/Skills-4-SE (259 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 96 tokens to every session and 1,779 once invoked, about $0.0004 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 2026-09-03.
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