AI agents invoke run_command to trigger actions in PSKit. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
This tool executes arbitrary PowerShell commands/scripts, which is the definition of Execute category. While it has safety mitigations (the pipeline), an AI agent could still cause significant harm through misconfigured or adversarially-crafted scripts—e.g., spawning processes, modifying system state, exfiltrating data, or launching destructive operations.
From the tool's definition Tool description states 'Run an arbitrary PowerShell script' — this directly executes code whose effects depend on the script arguments provided. Despite the '5-tier safety pipeline' mentioned in server description, the tool permits arbitrary script execution.
Attacks that exploit this kind of access
Run an arbitrary PowerShell script through the 5-tier safety pipeline. It is categorised as a Execute tool in the PSKit MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the PSKit MCP server in PolicyLayer and add a rule for run_command: 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 PSKit. Nothing to install.
run_command is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the run_command 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 run_command. 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.
run_command is provided by the PSKit MCP server (nickalus12/pskit). 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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