Skill: 1yihui/dalong-session-logs (version 1.0.0)

--- name: session-logs description: Search and analyze your own session logs (older/parent conversations) using jq. metadata: { "openclaw": { "emoji": "📜", "requires": { "bins": ["jq", "rg"] }, "install": [ { "id": "brew-jq", "kind": "brew", "formula": "jq", "bins": ["jq"], "label": "Install jq (brew)", }, { "id": "brew-rg", "kind": "brew", "formula": "ripgrep", "bins": ["rg"], "label": "Install ripgrep (brew)", }, ], }, } --- # 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 under the active state directory: `$OPENCLAW_STATE_DIR/agents/<agentId>/sessions/` (default: `~/.openclaw/agents/<agentId>/sessions/`). Use the `agent=<id>` value from the system prompt Runtime line. - **`sessions.json`** - Index mapping session keys to session IDs - **`<session-id>.jsonl`** - Full conversation transcript per session ## Structure Each `.jsonl` file contains messages with: - `type`: "session" (metadata) or "message" - `timestamp`: ISO timestamp - `message.role`: "user", "assistant", or "toolResult" - `message.content[]`: Text, thinking, or tool calls (filter `type=="text"` for human-readable content) - `message.usage.cost.total`: Cost per response ## Common Queries ### List all sessions by date and size ```bash AGENT_ID="<agentId>" SESSION_DIR="${OPENCLAW_STATE_DIR:-$HOME/.openclaw}/agents/$AGENT_ID/sessions" for f in "$SESSION_DIR"/*.jsonl; do date=$(head -1 "$f" | jq -r '.timestamp' | cut -dT -f1) size=$(ls -lh "$f" | awk '{print $5}') echo "$date $size $(basename $f)" done | sort -r ``` ### Find sessions from a specific day ```bash AGENT_ID="<agentId>" SESSION_DIR="${OPENCLAW_STATE_DIR:-$HOME/.openclaw}/agents/$AGENT_ID/sessions" for f in "$SESSION_DIR"/*.jsonl; do head -1 "$f" | jq -r '.timestamp' | grep -q "2026-01-06" && echo "$f" done ``` ### Extract user messages from a session ```bash jq -r 'select(.message.role == "user") | .message.content[]? | select(.type == "text") | .text' <session>.jsonl ``` ### Search for keyword in assistant responses ```bash jq -r 'select(.message.role == "assistant") | .message.content[]? | select(.type == "text") | .text' <session>.jsonl | rg -i "keyword" ``` ### Get total cost for a session ```bash jq -s '[.[] | .message.usage.cost.total // 0] | add' <session>.jsonl ``` ### Daily cost summary ```bash AGENT_ID="<agentId>" SESSION_DIR="${OPENCLAW_STATE_DIR:-$HOME/.openclaw}/agents/$AGENT_ID/sessions" for f in "$SESSION_DIR"/*.jsonl; do date=$(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 ```bash 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 ```bash jq -r '.message.content[]? | select(.type == "toolCall") | .name' <session>.jsonl | sort | uniq -c | sort -rn ``` ### Search across ALL sessions for a phrase ```bash AGENT_ID="<agentId>" SESSION_DIR="${OPENCLAW_STATE_DIR:-$HOME/.openclaw}/agents/$AGENT_ID/sessions" rg -l "phrase" "$SESSION_DIR"/*.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) ```bash AGENT_ID="<agentId>" SESSION_DIR="${OPENCLAW_STATE_DIR:-$HOME/.openclaw}/agents/$AGENT_ID/sessions" jq -r 'select(.type=="message") | .message.content[]? | select(.type=="text") | .text' "$SESSION_DIR"/<id>.jsonl | rg 'keyword' ```


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)