Search and analyze JSONL conversation logs using jq and rg.
npx skills add https://github.com/MoRen9527/TriMetaverse --skill session-logs-moren9527
Please help me install this Agent Skill. Skill: session-logs Source: https://github.com/MoRen9527/TriMetaverse/tree/main/reference/openclaw/skills/session-logs Command: npx skills add https://github.com/MoRen9527/TriMetaverse --skill session-logs-moren9527
This Skill allows you to search and analyze your past conversation history stored in session JSONL files, which is useful when you need to recall information from older or parent conversations.
jq to filter and extract specific information like user messages, assistant responses, costs, and tool usage.Use the session-logs skill to search for the keyword "budget" in all assistant responses across your session logs.
High-intent search queries and answers about installing and using this skill.
You can search past conversation logs stored in JSONL format by using the `jq` and `rg` command-line tools to parse and filter historical context, user queries, and assistant responses.
Yes, parsing and analyzing session JSONL files requires installing the `jq` and `rg` command-line tools to query data structures and search through the conversation history.
Yes, you can retrieve cost data and tool usage from agent session files by using `jq` to filter specific fields within the JSONL conversation logs.
The best way to find a previous decision is to search conversation history transcripts using `rg` for keywords, then use `jq` to extract the relevant assistant responses from the session JSONL files.
Using `rg` and `jq` limits conversation history search to structured JSONL files, meaning unstructured text logs or databases cannot be queried without prior conversion to the JSONL format.
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