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You can analyze Codex session JSONL logs to extract skill mentions and token_count events. The script parses local log files to surface usage events and compute per-session summaries for reporting.

Yes, you can rank skills by frequency across multiple Codex sessions. The script identifies skill mentions via blocks and dollar tokens, then generates a table of the most frequent skills with their respective counts.

You compute token count trends by parsing token_count events from Codex JSONL logs. The script aggregates these events into per-time-period summaries, enabling time-based trend analysis and reporting from local session files.

No, you do not need external services or dependencies to parse Codex session logs. The solution relies solely on the Python standard library and local file access to extract skill mentions and token counts.

The best way to audit skill usage in Codex sessions is to automate parsing JSONL logs to extract skill mentions and token usage. This provides quick audits and reporting without manual data crunching.

Yes, the script supports role-based summaries for skill usage events. It surfaces skill mentions and token_count events from Codex logs to enable both time-based trends and role-based reporting.