session-logs
Search and analyze your own session logs (older/parent conversations) using jq.
DeepseekModel
官方收录技能
质量 优秀 · 90
v1.0.0
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https://deepseekmodel.com/api/download.php?id=linuxhsj-openclaw-zero-token-skills-session-logs-skill-md&format=skill
下载 .skill
标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
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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下载的 .skill 包内含以下字段。
| 字段 | 说明 |
|---|---|
| format | 格式标识(skill/v1) |
| skill_id | 技能唯一 ID |
| name | 技能名称 |
| version | 版本号 |
| description | 技能描述 |
| category | 所属分类(数组) |
| trigger_words | 触发词列表 |
| tags | 标签列表 |
| source | 来源标识 |
| source_url | 来源链接(本页地址) |
| exported_at | 导出时间(每次下载生成) |
| system_prompt | 系统提示词正文 |
| model_config | 模型参数:provider / model / temperature / max_tokens / top_p |
| examples | 示例 |
| install_guide | 各平台导入说明(Coze / Dify / Claude / 自定义框架) |