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session-scribe-openclawsession scribe OpenClaw 搜索

Agent Skill

session-scribe-openclaw 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

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下载量

1,459
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:session-scribe-openclaw(session scribe OpenClaw 搜索)
来源仓库:https://github.com/kitsune/session-scribe-openclaw
安装命令:
openclaw skills install session-scribe-openclaw
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install session-scribe-openclaw

简介

Session Scribe OpenClaw 使用廉价 LLM 自动汇总会话到日常记忆。

  • 适合作为 cron 作业定期读取新条目并生成摘要。
  • 可降低高成本模型负载,提升知识沉淀效率。
  • 需配置廉价 LLM 服务地址,并确保输出路径可写。
  • session-scribe-openclaw 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
session-scribe
description
Automatically summarize active OpenClaw session transcripts into daily memory files using a cheap LLM. Run as a system cron job — reads new transcript entries since last run, summarizes them via OpenAI or Anthropic API, and appends bullet-point notes to a daily memory file. No gateway involvement, no context bloat. Designed to pair with the supermemory skill for full memory pipeline automation. Use when you want session context preserved without relying on agent self-reporting.
metadata
openclaw
emoji
📝
requires
bins
["node"]
env
["OPENAI_API_KEY"]
primaryEnv
OPENAI_API_KEY

session-scribe

Reads OpenClaw session transcripts and writes summarized bullet points to a daily memory file — automatically, via system cron.

No gateway involvement. No context bloat. Just cheap, reliable scribing.

⚠️ Privacy notice

This skill sends conversation transcript content to an external LLM (OpenAI or Anthropic). If your sessions contain secrets, API keys, PII, or sensitive data — be aware that content will be sent to the provider for summarization. Use a dedicated low-privilege API key with spend limits, and consider running --dry-run first to see exactly what gets sent.

How it works

  1. Reads <sessions-dir>/<session-id>.jsonl for new entries since last run
  2. Extracts user + assistant turns (skips tool calls, system events)
  3. Sends to OpenAI or Anthropic API for summarization (gpt-4o-mini by default — cheap)
  4. Appends bullet-point summary to <memory-dir>/YYYY-MM-DD.md (date auto-generated)
  5. Saves progress in .scribe-state.json so next run only processes new entries

Setup

# Install dependencies (one-time, in the skill directory)
cd /path/to/skills/session-scribe && npm install

# Set your API key — OpenAI or Anthropic both work
export OPENAI_API_KEY=sk-...
# or
export ANTHROPIC_API_KEY=sk-ant-api03-...

# Find your session ID
python3 -c "
import json, os
sessions = json.load(open(os.path.expanduser('~/.openclaw/agents/main/sessions/sessions.json')))
for k, v in sessions.items():
    print(k, '->', v.get('sessionId'))
"

# Test run (dry-run, prints summary without writing)
node scripts/scribe.js \
  --sessions ~/.openclaw/agents/main/sessions \
  --session-id <your-session-id> \
  --memory-dir ~/.openclaw/workspace/memory \
  --dry-run

# Or auto-resolve session by key suffix (e.g. your Discord channel ID)
node scripts/scribe.js \
  --sessions ~/.openclaw/agents/main/sessions \
  --auto-session "discord:channel:YOUR_CHANNEL_ID" \
  --memory-dir ~/.openclaw/workspace/memory \
  --dry-run
Note: OpenClaw's internal oat tokens cannot be used for direct API calls. Use a standard API key from platform.openai.com or console.anthropic.com.

System cron setup

Add to crontab (crontab -e) to run every hour:

# Store your key in a protected file (do NOT inline secrets in crontab)
echo "sk-your-key" > ~/.openclaw/secrets/scribe-key
chmod 600 ~/.openclaw/secrets/scribe-key

# Single session (via key file)
0 * * * * node /path/to/session-scribe/scripts/scribe.js \
  --sessions ~/.openclaw/agents/main/sessions \
  --auto-session "discord:channel:YOUR_CHANNEL_ID" \
  --memory-dir ~/.openclaw/workspace/memory \
  --api-key-file ~/.openclaw/secrets/scribe-key \
  >> /tmp/scribe.log 2>&1

# All sessions across all agents
0 * * * * node /path/to/session-scribe/scripts/scribe.js \
  --agents-dir ~/.openclaw/agents \
  --all-sessions \
  --memory-dir ~/.openclaw/workspace/memory \
  --api-key-file ~/.openclaw/secrets/scribe-key \
  >> /tmp/scribe.log 2>&1

Options

FlagDescriptionDefault
--sessions <dir>Path to OpenClaw sessions directoryrequired
--session-id <id>Specific session UUID to scribe
--auto-session <key>Auto-resolve session ID from sessions.json key suffix
--memory-dir <dir>Directory to write daily memory filesrequired
--provider <name>LLM provider: openai or anthropicauto-detected from env
--model <model>Model to usegpt-4o-mini
--api-key <key>API key (alternative to env var)
--api-key-file <path>Read API key from file
--agent <id>Agent label shown in memory file headersagent
--dry-runPrint summary without writing to diskfalse
--min-turns <n>Minimum new turns before scribing3
--active-within-hours <n>Only scribe sessions active within this window (--all-sessions mode)1

Pairing with supermemory

For a full automated memory pipeline:

  1. session-scribe runs hourly → appends to memory/YYYY-MM-DD.md
  2. supermemory ingest runs every 2h → syncs changed files to Supermemory
  3. supermemory recall at session start → enriched context from past sessions

References

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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安装前确认

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