setting-up-relayfile
Pass
Audited by Gen Agent Trust Hub on Oct 14, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTIONEXTERNAL_DOWNLOADSCOMMAND_EXECUTIONCREDENTIALS_UNSAFE
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The skill instructs agents to read and write files synchronized from external providers such as Notion, Slack, and GitHub. These external sources represent a risk surface where malicious content could influence the agent's behavior.\n
- Ingestion points: Files located within the mount directory, for example,
~/relayfile-mount/notion/pages/content.mdor~/relayfile-mount/slack/channels/.\n - Boundary markers: The instructions do not provide specific delimiters or guidance for the agent to distinguish between its instructions and the content of the mounted files.\n
- Capability inventory: The agent is granted read/write access to the mounted filesystem and is encouraged to use CLI tools for workspace management, which includes network-connected operations.\n
- Sanitization: There is no mention of sanitizing or validating the content retrieved from external providers before processing.\n- [EXTERNAL_DOWNLOADS]: The skill includes instructions to fetch remote content from vendor-controlled domains.\n
- Evidence:
curl -sSL -H 'Accept: text/markdown' https://arelay.to/agent-relayis used to retrieve markdown instructions.\n - Evidence: Interaction with
agentrelay.comandrelayfile.devfor authentication and workspace management.\n- [COMMAND_EXECUTION]: The skill relies on the execution of multiple shell commands to set up the environment, manage the mount daemon, and perform writeback operations.\n - Evidence: Extensive use of the
relayfileCLI tool (setup,mount,status,writeback, etc.) and standard utilities likecurl,jq, andrm.\n- [CREDENTIALS_UNSAFE]: The skill identifies the specific local file paths where the Relayfile CLI stores sensitive authentication tokens.\n - Evidence: Explicit mention of
~/.relayfile/cloud-credentials.jsonand~/.relayfile/credentials.jsonas the storage locations for access tokens.
Audit Metadata