Inject text/prompt into another Claude input box
AI agents invoke claude_senator_inject_command to trigger actions in Claude Senator. 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.
Injecting arbitrary text or prompts into another Claude instance's input is an Execute-level action with critical severity. This is essentially a prompt injection vector that allows one AI agent to control another's behavior by manipulating its input, which could chain into any downstream action that target Claude is capable of performing.
From the tool's definition 'Inject text/prompt into another Claude input box' - this tool remotely injects commands/prompts into another AI instance's input
Attacks that exploit this kind of access
Inject text/prompt into another Claude input box. It is categorised as a Execute tool in the Claude Senator MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Claude Senator MCP server in PolicyLayer and add a rule for claude_senator_inject_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 Claude Senator. Nothing to install.
claude_senator_inject_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 claude_senator_inject_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 claude_senator_inject_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.
claude_senator_inject_command is provided by the Claude Senator MCP server (vvkmnn/claude-senator-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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