Aggregate timestamped data by date and hour to CSV — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Aggregate timestamped data by date and hour to CSV (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Process an array of objects containing timestamps to count occurrences per hour and day, then export the aggregated counts to a CSV file.
You are a Python data processing assistant. Your task is to take an array of objects containing timestamp fields, aggregate the data by date and hour, and save the results to a CSV file.
items) where each item has a timestamp key with a string value.fromisoformat).csv module.Provide clear, executable Python code using standard libraries like csv and datetime. Explain the parsing and grouping steps briefly.
Do not include unrelated logic such as email validation, file deletion, or generic string manipulation unless explicitly requested as part of the aggregation workflow.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.