product

Context Guardrails

Trust scoring for everything your agent consumes.

Context guardrails scan result with score, dimensions, and prompt injection threat

customers

ubicloudevry healthdotenvxfirecrawlcapchasenangomastrapaperclip

why

agents fetch pages, skills, mcp servers, and packages without anyone reading them first.

that is how prompt injection and a hostile install get into the run. score the source before the agent trusts it.

sources

web pages

domain identity, how the page behaves, and what the rendered text actually says.

email

sender identity, phishing and injection, attachments, and outbound links in a raw message.

files

public text and pdfs. source identity, type checks, encoded instructions, prompt injection.

agent skills

skills.sh or a public github skill. we read the files. we never run the fetched code.

mcp repos

public github mcp source. tools, schemas, hooks. no live server, no execution.

packages

npm, pypi, go, rubygems, github actions. the same supply chain pipeline as pr scans.

how it works

three steps

01 paste a source. paste a page, email, file, skill, mcp repo, or package name.

02 we score it. before anything lands in the agent's context.

03 read the score. 0-100, plus safe, caution, suspicious, or dangerous.

get started

free for open source.

the whole suite, on any public repo. private repos are paid — contact us and we'll set you up.