claude-peers-mcp
Fail
Audited by Gen Agent Trust Hub on Sep 14, 2026
Risk Level: HIGHEXTERNAL_DOWNLOADSREMOTE_CODE_EXECUTIONCOMMAND_EXECUTIONPRIVILEGE_ESCALATIONPERSISTENCEINDIRECT_PROMPT_INJECTION
Full Analysis
- [EXTERNAL_DOWNLOADS]: The skill instructs the user to clone a repository from an untrusted external source (
https://github.com/louislva/claude-peers-mcp.git) and executebun installto fetch third-party dependencies. - [REMOTE_CODE_EXECUTION]: The installation process involves running downloaded TypeScript files (
server.ts,cli.ts) as a background service and CLI tool, which allows for the execution of unverified code on the host machine. - [PRIVILEGE_ESCALATION]: The instructions explicitly recommend launching the agent with the
--dangerously-skip-permissionsflag. This flag disables critical security guardrails, such as user prompts for file and shell access, significantly increasing the risk of unauthorized actions. - [PERSISTENCE]: The skill encourages users to modify shell profiles (
~/.bashrcor~/.zshrc) to add aliases for launching the communication server. It also registers the tool as a global MCP server (claude mcp add --scope user), ensuring it loads automatically in future agent sessions. - [INDIRECT_PROMPT_INJECTION]: The core functionality enables a cross-agent communication channel that is highly susceptible to indirect injection.
- Ingestion points: Untrusted data enters the agent context via the
send_messageandcheck_messagestools, as well as via instant channel pushes. - Boundary markers: There are no documented boundary markers or instructions to ignore commands within peer messages, meaning an agent may interpret a message from a 'peer' as a direct instruction.
- Capability inventory: The receiving agent possesses extensive capabilities, including shell execution and file system access.
- Sanitization: No sanitization or validation mechanisms are described for the messages exchanged between instances, allowing one compromised or malicious session to influence or control others.
Recommendations
- AI detected serious security threats
Audit Metadata