Search and analyze historical JSONL session logs with ripgrep and jq.
npx skills add https://github.com/MOODMNKY-LLC/mnky-atlas --skill session-logs-moodmnky-llc
Please help me install this Agent Skill. Skill: session-logs Source: https://github.com/MOODMNKY-LLC/mnky-atlas/tree/main/skills/session-logs Command: npx skills add https://github.com/MOODMNKY-LLC/mnky-atlas --skill session-logs-moodmnky-llc
This Skill eliminates the frustration of losing access to historical conversation context when it falls out of the active memory window, letting you retrieve details from prior chats, parent conversations, and older interactions without manual file searching.
Use the session-logs skill to find all messages from last month's sessions that mention the Q4 marketing strategy.
High-intent search queries and answers about installing and using this skill.
To search past conversation logs that fell out of the active memory window, you can parse and filter historical JSONL session files to retrieve specific keywords, user messages, or assistant responses from prior chats.
Yes, you need jq and ripgrep command-line tools installed to efficiently parse, filter, and search JSONL session files for retrieving targeted historical conversation context and usage analytics.
Yes, you can extract token usage and cost data from historical session logs by parsing the JSONL files to generate message counts and cost summaries for past conversations.
The best way to find context from a parent conversation stored weeks ago is cross-session log searching, which scans stored JSONL files to locate specific keywords or phrases from older interactions.
Yes, retrieving context works for individual session files by applying targeted data extraction to pull only user messages, assistant responses, tool calls, or cost data from the specific JSONL log.
A limitation of searching historical chat context with command-line tools is that this approach requires local JSONL files to be present and organized, meaning context cannot be retrieved if logs were not properly saved.
seedprodSearch and analyze JSONL conversation logs using jq and ripgrep.
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L3DigitalNetParse, filter, and transform JSON data using the jq command-line utility.
SafeAI-Lab-XParse OpenClaw session JSONL logs to extract messages, timestamps, and usage data.
