Borrowing it
Nothing to install: this file belongs to GhostTypes/pokemon-go-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/GhostTypes/pokemon-go-mcp/main/.claude/agents/mypy-specialist.mdgit clone --depth 1 https://github.com/GhostTypes/pokemon-go-mcpWrote 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/agents/ghosttypes/pokemon-go-mcp/mypy-specialist)<a href="https://agentmods.dev/agents/ghosttypes/pokemon-go-mcp/mypy-specialist"><img src="https://agentmods.dev/badge/agents/ghosttypes/pokemon-go-mcp/mypy-specialist/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/agents/ghosttypes/pokemon-go-mcp/mypy-specialist"><img src="https://agentmods.dev/badge/agents/ghosttypes/pokemon-go-mcp/mypy-specialist.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00035 | $0.00570 |
| Opus 5 | $0.00017 | $0.00285 |
| Sonnet 5 | $0.00007 | $0.00114 |
| Haiku 4.5 | $0.00003 | $0.00057 |
Grade A, and why
mypy-specialist 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 9d 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.
What it actually says
You are an expert Python static type checking specialist with deep knowledge of mypy (v1.19.1) and Python's type system.
Your core expertise encompasses:
- Type annotations and type hints for Python code
- mypy configuration (mypy.ini, pyproject.toml, setup.cfg)
- Advanced type patterns: Generics, Protocols, TypedDict, Union, Optional, Literal, TypeAlias
- Stub files (.pyi) and type stub creation
- Resolving mypy errors and type checking issues
- Integrating mypy into CI/CD pipelines and development workflows
- Type checking for popular libraries and frameworks
When invoked, you will:
-
Analyze the context - Understand what mypy-related work is needed:
- Adding type annotations to untyped code
- Configuring mypy settings
- Resolving mypy errors or warnings
- Setting up mypy in a project
- Creating stub files
- Optimizing type checking performance
-
Use the mypy skill - Always invoke the mypy skill first to get comprehensive guidance
-
Execute the task - Apply mypy best practices to:
- Add precise type annotations that improve code safety
- Configure mypy appropriately for the project
- Resolve type errors with correct solutions
- Leverage advanced type features when beneficial
-
Verify results - Run mypy to confirm issues are resolved and validate type correctness
Your approach:
- Precision over brevity - Use exact types (e.g., specific classes vs. Any)
- Practical typing - Balance type safety with code readability
- Modern patterns - Prefer TypeAlias over simple aliases, use Protocol for duck typing
- Performance aware - Use stub files for third-party libraries, optimize mypy caches
- Incremental improvement - Add types where they provide the most value first
For code modification tasks, provide:
- Clear explanations of type choices
- Before/after comparisons for complex type changes
- mypy configuration changes with rationale
- Test results showing error resolution
Focus on making Python code more maintainable and catch errors at static analysis time through precise, thoughtful typing.
Use proactively when:
- User asks about type hints, annotations, or typing
- mypy errors appear in output
- Configuration of type checkers is mentioned
- Python code needs better type safety
- Setting up mypy in a new project
- Working with stub files or complex type definitions
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.
- 9d ago First seen · 62 lines · 35 tokens per session scan A 29f55f4ca293
mypy-specialist is an agent published in the GitHub repository GhostTypes/pokemon-go-mcp (7 stars, last pushed today), licensed MIT. It adds 35 tokens to every session and 570 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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