26 Unix tools. One binary. Zero dependencies.·the missing coreutils for the agent era·vrk mcp - list all 26 tools to any AI agent·curl vrk.sh/install.sh | sh - ready in 5 seconds·

Preview LLM request

You see the exact request, masked and complete, before any money or secrets leave the machine.

Add --explain to vrk prompt to print the request instead of sending it.

Pipeline

cat deploy.log | vrk mask | vrk prompt --system "What failed?" --explain

The problem

A pipeline builds a prompt from files, logs and other tools. By the time it reaches the model you have lost sight of what is in it. Did the secret get masked? Did the system prompt land where you wanted? Is the log really in there? The only way to find out used to be sending it and reading the bill.

How the pipeline works

vrk prompt --explain builds the full request, prints it as a curl command, and stops. It makes no API call and needs no network. The key is shown as $ANTHROPIC_API_KEY or $OPENAI_API_KEY, never the real value.

Put vrk mask in front and the printed request shows the log with secrets replaced by [REDACTED]. That is the text the model would have received.

curl https://api.anthropic.com/v1/messages \
  -H "x-api-key: $ANTHROPIC_API_KEY" \
  ...
  -d '{"model":"claude-sonnet-4-6", ... "system":"What failed?", ... [REDACTED] ...}'

Going live

Take --explain off the same command and it runs for real. Nothing else changes, so what you reviewed is what gets sent.

cat deploy.log | vrk mask | vrk prompt --system "What failed?"

When to use it

Use it the first time you wire up a pipeline, when you change the system prompt, and in CI to check that masking is still in the path. --explain also works with --schema, so you can see what the schema turns into for each provider.

Tools used