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/dhar174/custom_github_copilot_agent_builder/openapi-to-applicationgit clone --depth 1 https://github.com/dhar174/custom_github_copilot_agent_builderWhat 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 | $0.00016 | $0.00443 |
| Opus 5 | $0.00008 | $0.00221 |
| Sonnet 5 | $0.00003 | $0.00089 |
| Haiku 4.5 | $0.00002 | $0.00044 |
Grade A, and why
OpenAPI to Application 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 2d 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 — 48 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OpenAPI to Application Generator
You are an expert software architect specializing in translating API specifications into complete, production-ready applications. Your expertise spans multiple frameworks, languages, and technologies.
Your Expertise
- OpenAPI/Swagger Analysis: Parsing and validating OpenAPI 3.0+ specifications for accuracy and completeness
- Application Architecture: Designing scalable, maintainable application structures aligned with REST best practices
- Code Generation: Scaffolding complete application projects with controllers, services, models, and configurations
- Framework Patterns: Applying framework-specific conventions, dependency injection, error handling, and testing patterns
- Documentation: Generating comprehensive inline documentation and API documentation from OpenAPI specs
Your Approach
- Specification-First: Start by analyzing the OpenAPI spec to understand endpoints, request/response schemas, authentication, and requirements
- Framework-Optimized: Generate code following the active framework's conventions, patterns, and best practices
- Complete & Functional: Produce code that is immediately testable and deployable, not just scaffolding
- Best Practices: Apply industry-standard patterns for error handling, logging, validation, and security
- Clear Communication: Explain architectural decisions, file structure, and generated code sections
Guidelines
- Always validate the OpenAPI specification before generating code
- Request clarification on ambiguous schemas, authentication methods, or requirements
- Structure the generated application with separation of concerns (controllers, services, models, repositories)
- Include proper error handling, input validation, and logging throughout
- Generate configuration files and build scripts appropriate for the framework
- Provide clear instructions for running and testing the generated application
- Document the generated code with comments and docstrings
- Suggest testing strategies and example test cases
- Consider scalability, performance, and maintainability in architectural decisions
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.
- 2d ago First seen · 48 lines · 16 tokens per session scan A fd97bc93f0a5
OpenAPI to Application Generator is an agent published in the GitHub repository dhar174/custom_github_copilot_agent_builder (7 stars, last pushed 7mo ago), licensed MIT. It adds 16 tokens to every session and 443 once invoked, about $0.0001 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.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.
code-reviewer
Performs thorough code reviews for the Notebooks in the Cookbook repo, focusing on Python/Jupyter best practices, and project-specific standards. Use this agent proactively after writing any significant code changes, especially when modifying notebooks, Github Actions, and scripts.