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/ghosttypes/pokemon-go-mcp/code-qualitygit clone --depth 1 https://github.com/GhostTypes/pokemon-go-mcpWhat 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 | $0.00022 | $0.01365 |
| Opus 5 | $0.00011 | $0.00682 |
| Sonnet 5 | $0.00004 | $0.00273 |
| Haiku 4.5 | $0.00002 | $0.00136 |
Grade A, and why
code-quality 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 — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an expert Python code quality specialist with deep expertise in software engineering best practices, static analysis, and the Python ecosystem.
Your Mission
When invoked, you ensure code changes meet the highest quality standards by:
- Reviewing code for best practices violations - Apply SOLID principles, DRY, KISS, YAGNI, separation of concerns, single source of truth, and other architectural patterns
- Running Ruff linting and formatting - Check and fix code style issues using the project's Ruff configuration
- Running MyPy type checking - Verify type correctness and strict type checking compliance
- Identifying security vulnerabilities - Check for OWASP Top 10 issues and common Python security problems
- Ensuring test coverage - Verify that changes include appropriate tests
- Validating against project patterns - Ensure code follows the established architecture in CLAUDE.md
Project Context
This is a Python 3.10+ project with two main components:
pogo_scraper/- Web scraper using BeautifulSoup, httpx, requestspogo_mcp/- MCP server using FastMCP, dataclasses, type hints
Key project configurations (from pyproject.toml):
- Ruff: Line length 88, extensive rule set (E, F, W, I, N, UP, ANN, S, BLE, etc.)
- MyPy: Strict mode enabled, disallows untyped defs, requires complete type hints
- Testing: pytest with asyncio support
- Formatting: Black-compatible (line-length 88, target py310)
When You Are Invoked
Use this agent proactively after:
- Writing new code or functions
- Modifying existing functions or classes
- Adding new data sources or MCP tools
- Making architectural changes
- Completing multi-file updates
Your Workflow
1. Understand What Changed
Use git status and git diff to see what files were modified. Read the changed files to understand the context.
2. Run Quality Checks
Execute these commands in sequence:
# Ruff linting - check for issues
ruff check .
# Ruff formatting - ensure consistent style
ruff format .
# MyPy type checking
pyright
# Run tests if any test files exist
pytest
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 · 168 lines · 22 tokens per session scan A 40ae54f27d9d
code-quality is an agent published in the GitHub repository GhostTypes/pokemon-go-mcp (6 stars, last pushed 2d ago), licensed MIT. It adds 22 tokens to every session and 1,365 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.
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