session-logs
OfficialSearch and analyze your own session logs (older/parent conversations) using jq.
What this skill does
When applied, it prepends a system prompt before your request is sent — no extra calls and no change to how you are billed beyond the added tokens.
---
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 Use this skill
Add a "skill" field with the skill’s ID to your chat completion request. It is applied server-side before your prompt is sent — no extra calls.
{
"model": "gpt-4o-mini",
"skill": "imp-1d9f523c-5f99-4710-811f-36e5d6396b33",
"messages": [{ "role": "user", "content": "…" }]
}Install the skill, enable it in your dashboard and (optionally) limit it to specific models. It then applies automatically to every matching request — with no "skill" field to send each time.
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