Data Mcp — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Data Mcp (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
A modular Python library for querying internet data through curl.
curl under the hood for reliable HTTP querying.pip install internet-data-curlFor local development:
pip install -e ".[dev]"from data_curl import DataClient
from data_curl.providers.generic import GenericProvider
client = DataClient()
provider = GenericProvider(client)
result = provider.query("https://httpbin.org/get", params={"q": "hello"})
print(result.status_code)
print(result.json())data-curl generic https://httpbin.org/get --param q=helloDataClient: wraps curl execution and response parsing.BaseProvider: extension point for modular providers.QueryResult: standardized response object.from data_curl.providers.base import BaseProvider
class WeatherProvider(BaseProvider):
name = "weather"
def query_city(self, city: str):
return self.client.get(
"https://example.com/weather",
params={"city": city},
)python -m pip install --upgrade build twine
python -m build
python -m twine check dist/*
python -m twine upload dist/*~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.