Search and analyze JSONL session histories using jq and rg.
npx skills add https://github.com/liutao96/skill --skill session-logs-liutao96
Please help me install this Agent Skill. Skill: session-logs Source: https://github.com/liutao96/skill/tree/main/session-logs Command: npx skills add https://github.com/liutao96/skill --skill session-logs-liutao96
This Skill helps users locate and analyze past conversations stored in session logs to provide context, auditing, and reference for current queries.
Provide a session ID and ask it to extract the user messages from that session.
High-intent search queries and answers about installing and using this skill.
You can search past conversations stored in JSONL session logs by applying jq and rg to parse, filter, and surface relevant user or assistant messages from your complete session histories.
To extract user messages from a specific session ID, provide the session ID to the Skill and it will parse the JSONL files to pull exact user and assistant messages from that historical session.
Yes, you can compute per-session statistics like message counts and time ranges from session histories to extract historical context and inform current decisions.
Yes, you need jq and rg to analyze JSONL session transcripts, as these tools are used to parse, filter, and summarize messages, user content, and tool usage from historical data.
Your session histories are stored as JSONL files in the ~/.openclaw/agents/<agentId>/sessions/ directory, allowing you to audit chats and recall prior context across sessions.
kendreadityaSearch and extract insights from session JSONL files using jq and rg.
oddshipParse Pi session JSONL files with jq to extract metrics and tool usage.
aresbitSearch and analyze historical session JSONL files using jq and rg.
brikkoAIRetrieve and analyze historical AI conversations from JSONL session logs.
