Agent Skills › linuxhsj/openclaw-zero-token › session-logs

session-logs

GitHub

提供搜索和分析历史会话日志的技能，通过jq处理JSONL文件，支持查询过往对话、提取消息、统计成本及关键词搜索，适用于回溯上下文或审计使用情况。

skills/session-logs/SKILL.md linuxhsj/openclaw-zero-token

Trigger Scenarios

用户询问之前的聊天记录需要查找父级对话内容查询历史会话的成本统计在旧对话中搜索特定关键词

Install

npx skills add linuxhsj/openclaw-zero-token --skill session-logs -g -y

More Options

Use without installing

npx skills use linuxhsj/openclaw-zero-token@session-logs

指定 Agent (Claude Code)

npx skills add linuxhsj/openclaw-zero-token --skill session-logs -a claude-code -g -y

安装 repo 全部 skill

npx skills add linuxhsj/openclaw-zero-token --all -g -y

预览 repo 内 skill

npx skills add linuxhsj/openclaw-zero-token --list

SKILL.md

Frontmatter

{
    "name": "session-logs",
    "metadata": {
        "openclaw": {
            "emoji": "📜",
            "requires": {
                "bins": [
                    "jq",
                    "rg"
                ]
            }
        }
    },
    "description": "Search and analyze your own session logs (older\/parent conversations) using jq."
}

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'