content-trend-researcher
Pass
Audited by Gen Agent Trust Hub on Aug 13, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill's operational logic is entirely self-contained within the provided Python scripts. These scripts utilize standard language features for text pattern matching and date handling, with no implementation of network requests, external data fetching, or file system modifications. The trend analysis functionality is simulated and does not connect to live platform APIs.
- [INDIRECT_PROMPT_INJECTION]: The skill features a data ingestion surface where user-supplied topics and target audience descriptions are processed and interpolated into article outlines.
- Ingestion points: The 'topic' and 'target_audience' fields defined in the JSON input schema within SKILL.md.
- Boundary markers: The skill relies on structured JSON communication and clear separation between instructional metadata and data processing logic.
- Capability inventory: Analysis of intent_analyzer.py, outline_generator.py, platform_insights.py, and trend_analyzer.py confirms the absence of dangerous modules or functions such as 'os.system', 'subprocess', 'eval', 'exec', or network libraries like 'requests'.
- Sanitization: Input data is evaluated using hardcoded regex patterns and interpolated into static strings. Because the skill's environment lacks access to high-privilege tools, this surface does not pose a security risk to the agent or host system.
- [COMMAND_EXECUTION]: All provided Python files have been audited for shell injection and command execution vulnerabilities. No usage of process-spawning or system-level command utilities was identified.
Audit Metadata