Product Analytics

Use when defining product KPIs, building metric dashboards, running cohort or retention analysis, or interpreting feature adoption trends across product stages.

This skill appears coherent and implementationally simple, but consider the following before installing: 1) Source is unknown — prefer skills from trusted publishers. 2) The CLI reads CSVs you supply; those files may contain PII or sensitive user data — avoid passing sensitive data unless you trust the environment. 3) The script loads the entire CSV into memory and assumes ISO-like date strings; large files may exhaust memory and malformed dates may raise errors. 4) Output is printed to stdout (no encryption or storage) — logs could be captured by your environment. If you plan to use it in production, review/modify the script for input validation, streaming large files, and any privacy requirements.

Type: OpenClaw Skill Name: product-analytics Version: 2.1.1 The product-analytics skill bundle is a legitimate toolset for calculating and interpreting product metrics. The core logic in `scripts/metrics_calculator.py` uses standard Python libraries to process CSV data for retention and funnel analysis without any suspicious file access, network calls, or obfuscation. The documentation in `SKILL.md` and the `references/` directory provides helpful frameworks (AARRR, HEART) and instructions that align perfectly with the stated purpose of the skill.