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Parse structured JSON-lines log files, filter by time range and severity, output as CSV.
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Based on SOC occupation classification
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| name | log-parser |
| description | Parse structured JSON-lines log files, filter by time range and severity, output as CSV. |
| version | 1.0.0 |
Parses structured log files in JSON-lines (.jsonl) format. Each line is a JSON
object with at least timestamp, level, and message fields. The skill filters
events by time range and/or severity level and writes the matching rows as a CSV
file, making downstream tabular analysis easy.
| Parameter | Flag | Required | Description |
|---|---|---|---|
| input | -i | Yes | Path to the .jsonl log file |
| output | -o | Yes | Path to the output CSV file |
| start-time | --start | No | Start of time window (ISO-8601, e.g. 09:00) |
| end-time | --end | No | End of time window (ISO-8601, e.g. 17:00) |
| levels | --levels | No | Comma-separated severity filter (e.g. ERROR,WARN) |
timestamp to datetime; skip malformed lines.--start / --end provided).--levels provided; case-insensitive).timestamp, level, service, endpoint, response_time_ms, status_code, messageA CSV file containing the filtered log events. Columns are derived from the JSON keys present in the log entries.
python3 ./skills/log-parser/log_parser.py -i <input.jsonl> -o <output.csv> \
[--start HH:MM] [--end HH:MM] [--levels LEVEL1,LEVEL2]