journal-monitor
Pass
Audited by Gen Agent Trust Hub on Sep 4, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTIONDATA_EXFILTRATIONCOMMAND_EXECUTIONDYNAMIC_EXECUTION
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The skill processes MT5 journal logs (JournalLog-*.log) which are external data sources. An attacker who can influence log entries (e.g., through specific order comments or causing specific error messages) could potentially embed instructions aimed at the AI agent analyzing the reports. \n
- Ingestion points: scripts/parser.py reads and parses log files from user-specified paths.\n
- Boundary markers: The report generation in scripts/analyzer.py does not include specific boundary markers or warnings to the agent to ignore embedded instructions.\n
- Capability inventory: scripts/monitor.py has the capability to write files to the local file system and send data to external webhooks.\n
- Sanitization: The parser uses regular expressions to extract structured fields, and scripts/analyzer.py truncates log messages to 200 characters, providing limited protection against injection attacks.\n- [DATA_EXFILTRATION]: The scripts/monitor.py script includes a webhook feature that sends summarized trading activity and anomaly data (such as account labels, latency statistics, and drop counts) to a user-provided URL, typically used for Discord alerts.\n- [COMMAND_EXECUTION]: The documentation in references/collecting_journals.md provides shell scripts (collect-journals.sh) and cron commands for the user to execute. While these are legitimate setup instructions, they involve manual command execution by the user.\n- [DYNAMIC_EXECUTION]: The skill uses dynamic importing in scripts/monitor.py to load the pyyaml library only when a YAML configuration file is provided by the user. Additionally, it modifies sys.path at runtime to resolve local script imports.
Audit Metadata