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 function-class-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/function-class-generator)<a href="https://agentmods.dev/skills/arabelatso/skills-4-se/function-class-generator"><img src="https://agentmods.dev/badge/skills/arabelatso/skills-4-se/function-class-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/function-class-generator"><img src="https://agentmods.dev/badge/skills/arabelatso/skills-4-se/function-class-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 | $0.00071 | $0.06032 |
| Opus 5.5 | $0.00028 | $0.02413 |
| Sonnet 5.5 | $0.00014 | $0.01206 |
| Haiku 4.5 | $0.00007 | $0.00603 |
Grade A, and why
function-class-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 — 897 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Function/Class Generator
Transform formal specifications, design descriptions, and requirements into complete, well-structured, production-ready code. Generates functions, classes, interfaces, and data structures with proper error handling, documentation, and tests.
Core Capabilities
1. Specification Parsing
Understand specifications from multiple sources:
- Type signatures - Function signatures with input/output types
- Formal specifications - Pre/postconditions, invariants, contracts
- API documentation - OpenAPI, Swagger, JSON Schema
- UML diagrams - Class diagrams, sequence diagrams
- Natural language - Requirements and design descriptions
- Interface definitions - Protocol buffers, GraphQL schemas
2. Code Generation
Create complete implementations:
- Functions - Standalone functions with logic and validation
- Classes - Full class definitions with methods and properties
- Interfaces/Protocols - Abstract definitions and contracts
- Data structures - Custom types, enums, unions
- Error handling - Exceptions, error types, validation
- Documentation - Docstrings, comments, type hints
3. Best Practices Integration
Apply language-specific patterns:
- Naming conventions - Follow language standards
- Type safety - Use static typing where available
- Error handling - Appropriate exception handling
- Documentation - Clear docstrings and comments
- Testing - Generate unit tests alongside code
- SOLID principles - Single responsibility, open/closed, etc.
4. Validation and Testing
Ensure correctness:
- Type checking - Verify type correctness
- Contract validation - Check pre/postconditions
- Unit tests - Generate test cases
- Edge cases - Handle boundaries and exceptions
- Examples - Provide usage examples
Code Generation Workflow
Step 1: Parse Specification
Extract key information:
From type signature:
# Specification
def calculate_discount(price: float, percentage: float) -> float:
"""Calculate discounted price."""
pass
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 · 897 lines · 71 tokens per session scan A ab3b61e31312
function-class-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 71 tokens to every session and 6,032 once invoked, about $0.0003 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.
Other skills, from other repositories
skill-code-quality
This skill should be used when implementing code quality standards, setting up linting/testing/security scans, enforcing coverage thresholds, or establishing CI/CD guardrails.
teach
Teach the user a new skill or concept, within this workspace.
improve-codebase-architecture
Find deepening opportunities in a codebase, informed by the domain language in CONTEXT.md and the decisions in docs/adr/. Use when the user wants to improve architecture, find refactoring opportunities, consolidate tightly-coupled modules, or make a codebase more testable and AI-navigable.
diagnose
Disciplined diagnosis loop for hard bugs and performance regressions. Reproduce → minimise → hypothesise → instrument → fix → regression-test. Use when user says "diagnose this" / "debug this", reports a bug, says something is broken/throwing/failing, or describes a performance regression.
skill-incident-management
Incident response, postmortem facilitation, root cause analysis (RCA), blameless culture, incident timeline documentation, and incident classification. Use when responding to production incidents, writing incident reports, facilitating postmortems, or improving incident response processes.
skill-pr-review
Comprehensive code review for pull requests using parallel multi-agent analysis. Audits CLAUDE.md compliance, checks for bugs, analyzes git history, reviews comments, and filters by confidence score. Use when reviewing a GitHub PR, mentions "code review", "review this PR", or "/code-review".