Social Media Analyzer

Social media campaign analysis and performance tracking. Calculates engagement rates, ROI, and benchmarks across platforms. Use for analyzing social media pe...

This skill is not showing malicious behavior, but it has implementation/documentation mismatches that can produce incorrect metrics. Before trusting results: (1) Run the included scripts locally with the provided assets/sample_input.json and compare to assets/expected_output.json to reproduce differences. (2) Inspect and fix calculate_metrics.calculate_campaign_metrics: it currently sums likes+comments+shares but omits saves, while per-post engagement includes saves — add saves to total_engagements to align totals. (3) Decide whether ROI should use per-action values from SKILL.md (likes $0.50, comments $2, etc.) or a flat avg_value_per_engagement; if using per-action values, change calculate_roi_metrics to compute estimated_value = likes*$0.50 + comments*$2 + ... for accurate ROAS. (4) Verify benchmark units are consistent (both docs and code use percent values) and that string formatting doesn't mislead (e.g., numeric values vs percent strings). (5) Because the skill runs Python code, only run it on non-sensitive data until you audit it; no external network calls are present, but you should still review the code before executing in a sensitive environment. If you want, I can produce the concrete code patches to correct the omissions and align ROI calculation with the documented per-action values.

Type: OpenClaw Skill Name: social-media-analyzer Version: 2.1.1 The skill bundle is a legitimate tool for social media campaign analysis and ROI calculation. The Python scripts (scripts/calculate_metrics.py and scripts/analyze_performance.py) contain standard data processing logic with no evidence of network access, file system manipulation, or shell execution. The instructions in SKILL.md are well-defined and strictly focused on the stated purpose of performance tracking and benchmarking.