skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/n8n-daily-report/Gen Agent Trust Hub
n8n-daily-report
Pass
Audited by Gen Agent Trust Hub on Sep 18, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTIONCOMMAND_EXECUTION
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The skill is designed to ingest and process data from external files such as CSV, Excel, and JSON provided by the user, which presents a surface for indirect prompt injection.
- Ingestion points:
instructions.mdspecifies that the agent should accept data in common formats (CSV, Excel, JSON) or via direct user input for processing. - Boundary markers: The instructions explicitly direct the agent to "Only use data provided by the user or referenced in the skill" and "Validate inputs before processing."
- Capability inventory: The skill utilizes network access (via Python
requests) and filesystem access (as defined inclaw.json) to perform its automation tasks. - Sanitization: The agent is instructed to report errors clearly and validate inputs, though specific sanitization logic for the data content is not detailed in the script code.
- [COMMAND_EXECUTION]: The skill includes Python scripts that utilize the
requestslibrary to interact with n8n webhooks and external APIs. - Evidence:
SKILL.mdprovides atrigger_daily_reportfunction that sends project data to a user-specified webhook URL via HTTP POST. - [SAFE]: All external domains referenced in the skill, including
datadrivenconstruction.io,n8n.io, andopenweathermap.org, are either official vendor resources or well-known, trusted service providers. The use of environment variables for API keys and service URLs follows security best practices.
Audit Metadata