Connect Ashby ATS to GitHub Copilot CLI
Give GitHub Copilot CLI governed access to Ashby ATS’s 16 tools through Runlayer, with identity, policy, scanning, and audit on every call.
Set up
Add Ashby ATS to GitHub Copilot CLI in four steps
Admins approve the server once. Everyone in GitHub Copilot CLI then gets it through the same governed connection.
- 1
Approve Ashby ATS in Runlayer
Add Ashby ATS from the catalog and choose who can use it and which of its tools are allowed.
- 2
Connect GitHub Copilot CLI to Runlayer
Users add the Runlayer Plugin to GitHub Copilot CLI by following Runlayer’s setup guide. GitHub Copilot CLI reaches Ashby ATS’s 16 tools through the Runlayer Plugin’s search and execute tools instead of listing each one.
GitHub Copilot CLI setup guide - 3
Sign in to Ashby ATS
Each user signs in to Ashby ATS with OAuth. Runlayer keeps the tokens out of the client’s configuration.
- 4
Use Ashby ATS from GitHub Copilot CLI
Ashby ATS’s approved tools appear in GitHub Copilot CLI. Every call is checked against policy and recorded.
Tools
16 Ashby ATS tools in GitHub Copilot CLI
Runlayer policy decides which of these GitHub Copilot CLI users can call.
Add note to candidate
Add a note to a candidate's profile.
Change application stage
Move an application to a different interview stage.
Consider candidate for job
Create a new application for a candidate on a specific job.
Create candidate
Create a new candidate record in Ashby with a name and optional contact information.
Describe object fields
Look up filterable fields for a given object type.
Filter records
Filter records of a given object type using a structured JSON filter.
Get candidate
Fetch details about one or more candidates.
Get interview details
Get a detailed interview briefing for a specific Ashby interview event.
Control
What Runlayer can see and stop in GitHub Copilot CLI
Some controls apply to every client at the gateway. Others depend on what GitHub Copilot CLI exposes to Runlayer.
Gateway policy (available)
Every Ashby ATS call from GitHub Copilot CLI passes through Runlayer, where your policies can allow, alert, mask, or block it.
Audit trail (available)
Each call is recorded with the user, GitHub Copilot CLI as the client, the tool, and the policy and scanner decisions.
Client hooks (available)
Capture supported prompts, reasoning, local and MCP tool calls, responses, and scanner decisions in real time.
Stop a call before it runs (available)
Runlayer can deny a tool call or permission request before GitHub Copilot CLI runs it.
Block output after it runs (available)
Runlayer can block a tool’s output before GitHub Copilot CLI’s model sees it.
Redact output in place (available)
Runlayer can mask sensitive parts of a successful tool’s output in GitHub Copilot CLI and pass the rest through.
In GitHub Copilot CLI
- When a tool fails, Runlayer records the error but cannot replace it.
Frequently asked questions
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