linkedin-analytics

Pass

Audited by Gen Agent Trust Hub on Aug 28, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill uses three Python scripts (post_performance_analyzer.py, pattern_miner.py, experiment_planner.py) to process LinkedIn post data. All scripts use only Python's standard library and perform no network operations, file writes, or dynamic code execution.
  • [DATA_EXPOSURE_&_EXFILTRATION]: No network access is requested or used. The scripts process local CSV or JSON files provided by the user. There are no hardcoded credentials or access to sensitive system paths.
  • [REMOTE_CODE_EXECUTION]: The skill does not download or execute any external code. All logic is contained within the provided scripts.
  • [INDIRECT_PROMPT_INJECTION]: While the skill processes user-supplied post data (titles and stats), it does not feed this data back into an LLM prompt. It performs purely statistical analysis (median, MAD, permutation tests) and outputs formatted text/JSON. The risk of data content influencing agent behavior is negligible.
Audit Metadata
Risk Level
SAFE
Analyzed
Aug 28, 2026, 09:24 PM
Security Audit — agent-trust-hub — linkedin-analytics