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session-logs

Search and analyze your own session logs (older/parent conversations) using jq.

DeepseekModel Curated skill Quality Excellent · 90 v1.0.0

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Download .skill Standard format with system_prompt and model_config, ready for any agent framework
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name session-logs description Search and analyze your own session logs (older/parent conversations) using jq. metadata {"openclaw":{"emoji":"📜","requires":{"bins":"[Truncated]"}}} session-logs Search your complete conversation history stored in session JSONL files. Use this when a user references older/parent conversations or asks what was said before. Trigger Use this skill when the user asks about prior chats, parent conversations, or historical context that isn't in memory files. Location Session logs live at: ~/.openclaw/agents/<agentId>/sessions/ (use the agent=<id> value from the system prompt Runtime line). sessions.json - Index mapping session keys to session IDs <session-id>.jsonl - Full conversation transcript per session Structure Each .jsonl file contains messages with: type : "session" (metadata) or "message" timestamp : ISO timestamp message.role : "user", "assistant", or "toolResult" message.content[] : Text, thinking, or tool calls (filter type=="text" for human-readable content) message.usage.cost.total : Cost per response Common Queries List all sessions by date and size for f in ~/.openclaw/agents/<agentId>/sessions/*.jsonl; do date =$( head -1 " $f " | jq -r '.timestamp' | cut -dT -f1) size=$( ls -lh " $f " | awk '{print $5}' ) echo " $date $size $(basename $f) " done | sort -r Find sessions from a specific day for f in ~/.openclaw/agents/<agentId>/sessions/*.jsonl; do head -1 " $f " | jq -r '.timestamp' | grep -q "2026-01-06" && echo " $f " done Extract user messages from a session jq -r 'select(.message.role == "user") | .message.content[]? | select(.type == "text") | .text' <session>.jsonl Search for keyword in assistant responses jq -r 'select(.message.role == "assistant") | .message.content[]? | select(.type == "text") | .text' <session>.jsonl | rg -i "keyword" Get total cost for a session jq -s '[.[] | .message.usage.cost.total // 0] | add' <session>.jsonl Daily cost summary for f in ~/.openclaw/agents/<agentId>/sessions/*.jsonl; do date =$( head -1 " $f " | jq -r '.timestamp' | cut -dT -f1) cost=$(jq -s '[.[] | .message.usage.cost.total // 0] | add' " $f " ) echo " $date $cost " done | awk '{a[$1]+=$2} END {for(d in a) print d, "$"a[d]}' | sort -r Count messages and tokens in a session jq -s '{ messages: length, user: [.[] | select(.message.role == "user")] | length, assistant: [.[] | select(.message.role == "assistant")] | length, first: .[0].timestamp, last: .[-1].timestamp }' <session>.jsonl Tool usage breakdown jq -r '.message.content[]? | select(.type == "toolCall") | .name' <session>.jsonl | sort | uniq -c | sort -rn Search across ALL sessions for a phrase rg -l "phrase" ~/.openclaw/agents/<agentId>/sessions/*.jsonl Tips Sessions are append-only JSONL (one JSON object per line) Large sessions can be several MB - use head / tail for sampling The sessions.json index maps chat providers (discord, whatsapp, etc.) to session IDs Deleted sessions have .deleted.<timestamp> suffix Fast text-only hint (low noise) jq -r 'select(.type=="message") | .message.content[]? | select(.type=="text") | .text' ~/.openclaw/agents/<agentId>/sessions/< id >.jsonl | rg 'keyword'
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Field Description
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skill_idUnique skill ID
nameSkill name
versionVersion
descriptionDescription
categoryCategories (array)
trigger_wordsTrigger words
tagsTags
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exported_atExported at (set per download)
system_promptSystem prompt body
model_configModel config: provider / model / temperature / max_tokens / top_p
examplesExamples
install_guideImport guide for Coze / Dify / Claude / custom frameworks
The same skill can be exported in different platform formats.
.skill Standard format with system_prompt and model_config, ready for any agent framework Download
.skillpro Enhanced format with scripts, tools, dependencies and hooks Download
.json Plain JSON export with system_prompt and model parameters only Download
Coze Markdown with frontmatter, for Coze platform import Download
Dify Dify DSL, import directly after creating an app Download

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