osmedeus-expert
Warn
Audited by Gen Agent Trust Hub on Apr 7, 2026
Risk Level: MEDIUMREMOTE_CODE_EXECUTIONCOMMAND_EXECUTIONCREDENTIALS_UNSAFE
Full Analysis
- [REMOTE_CODE_EXECUTION]: The skill documents the
osmedeus worker evalcommand, which allows for the evaluation of arbitrary scripts on distributed worker nodes. \n- [REMOTE_CODE_EXECUTION]: Theremote-bashstep type andssh_executility function are documented for executing shell commands on remote infrastructure via SSH or Docker containers. \n- [COMMAND_EXECUTION]: Extensive documentation is provided for local command execution through standardbashsteps, theexecCmdparameter generator, and language-specific execution functions likeexec_pythonandexec_ts(using the Bun runtime). \n- [CREDENTIALS_UNSAFE]: Examples and references within the documentation point to sensitive file paths, such as~/.ssh/scanner_keyin theremote-bashconfiguration and the retrieval of sensitive environment variables using thegetEnvVargenerator. \n- [COMMAND_EXECUTION]: The skill documents thesudo_authfunction and the--sudo-awareflag, which are designed to facilitate the acquisition and maintenance of root privileges during workflow execution. \n- [PROMPT_INJECTION]: Theagentstep type presents a surface for indirect prompt injection where an LLM processes untrusted data. \n - Ingestion points: Untrusted data enters the agent context via the
read_file,read_lines, orhttp_getpreset tools documented inreferences/step-types.md. \n - Boundary markers: Documentation examples do not include delimiters or instructions for the agent to ignore embedded commands within the ingested data. \n
- Capability inventory: The agent tools include high-impact capabilities such as
bash,save_content,exec_python, andexec_ts. \n - Sanitization: The provided examples do not demonstrate sanitization or validation of ingested content before it is processed by the LLM.
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