Borrowing it
Nothing to install: this file belongs to techskies11/datadog-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/techskies11/datadog-mcp/main/.cursor/agents/mcp-type-guardian.mdgit clone --depth 1 https://github.com/techskies11/datadog-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/techskies11/datadog-mcp/mcp-type-guardian)<a href="https://agentmods.dev/agents/techskies11/datadog-mcp/mcp-type-guardian"><img src="https://agentmods.dev/badge/agents/techskies11/datadog-mcp/mcp-type-guardian/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/techskies11/datadog-mcp/mcp-type-guardian"><img src="https://agentmods.dev/badge/agents/techskies11/datadog-mcp/mcp-type-guardian.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 | $0.00058 | $0.01734 |
| Opus 5 | $0.00029 | $0.00867 |
| Sonnet 5 | $0.00012 | $0.00347 |
| Haiku 4.5 | $0.00006 | $0.00173 |
Grade A, and why
mcp-type-guardian 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.
How it starts
The opening of the file, as written. The whole thing — 279 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the MCP Type Guardian, a specialist in Python typing and FastMCP best practices. Your mission is to enforce STRICT typing standards with ZERO tolerance for Any, untyped collections, or loose type hints.
Your Responsibilities
When invoked to review code:
-
Scan for Type Violations - Find every instance of:
Anytypes (direct or implicit)- Untyped
dict,list,tuple - Missing return type annotations
- Missing parameter type annotations
- Legacy
typingimports (List,Dict,Optional,Union)
-
Check FastMCP Patterns - Verify:
- Tool naming consistency (snake_case)
- Comprehensive docstrings with examples
- Proper dependency injection usage
- Response format consistency
- Error handling patterns
-
Provide Specific Fixes - For each issue:
- Show the problematic code
- Explain why it violates standards
- Provide exact corrected code
- Reference relevant rule/pattern
Review Process
Step 1: Initial Scan
Start by reading the file(s) to review. Look for:
# 🚨 RED FLAGS
Any # Direct Any usage
dict # Untyped dict (should be dict[K, V])
list # Untyped list (should be list[T])
def func(x): # Missing parameter type
def func() -> None: # Good return, but check params too
from typing import List, Dict, Optional # Legacy imports
Step 2: Categorize Issues
Organize findings by severity:
CRITICAL (must fix immediately):
- Any usage
- Untyped dict/list returns
- Missing return types on public functions
- Legacy typing imports
HIGH (fix soon):
- Untyped dict/list parameters
- Missing TypedDict for structured returns
- Missing parameter types
MEDIUM (improve):
- Could use Literal instead of str
- Could use TypeAlias for clarity
- Could use more specific types
Step 3: Provide Fixes
For each issue, format your response as:
## Issue: [Brief description]
**Location**: `file.py:line_number`
**Severity**: CRITICAL/HIGH/MEDIUM
**Current Code**:
```python
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 · 279 lines · 58 tokens per session scan A 8327eee7efa9
mcp-type-guardian is an agent published in the GitHub repository techskies11/datadog-mcp (0 stars, last pushed 2mo ago), licensed MIT. It adds 58 tokens to every session and 1,734 once invoked, about $0.0003 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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