AI agents call scan_github to retrieve information from N0s1 without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool performs read-only operations on GitHub repositories to scan for secrets. While the context involves sensitive information discovery, the tool itself does not execute code, modify data, delete resources, or move funds.
From the tool's definition Tool name and description both indicate 'Read' operations: 'Read GitHub repository code, issues, and pull requests' with purpose of detecting leaked secrets. No modification, deletion, or code execution occurs—only retrieval and analysis of existing data.
Attacks that exploit this kind of access
Read GitHub repository code, issues, and pull requests to detect leaked secrets. It is categorised as a Read tool in the N0s1 MCP Server, which means it retrieves data without modifying state.
Register the N0s1 MCP server in PolicyLayer and add a rule for scan_github: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches N0s1. Nothing to install.
scan_github is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the scan_github rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for scan_github. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
scan_github is provided by the N0s1 MCP server (spark1security/n0s1-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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