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socneo

Auto Log

by socneo · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
172
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Install in OpenClaw
/install auto-log
Description
Automatically creates daily log files to record AI agent events, tasks, todos, and provides summaries of daily activity.
README (SKILL.md)

Auto Log Skill

Auto Log Skill — Automatically records AI agent activity to daily memory log files.

📖 中文文档


🎯 Features

  • ✅ Auto-create daily log templates
  • ✅ Append important events to the log
  • ✅ Record task execution status
  • ✅ Add and manage todo items
  • ✅ Quickly retrieve today's log summary

📦 Installation

clawhub install auto-log

🔧 Configuration

Copy the config template and fill in your values:

cp config.example.json config.json

Required fields:

  • memory_dir: Directory to store log files

🚀 Usage

from auto_log_skill import log_event, log_task, add_todo

# Log an event
log_event("Skill packaging complete")

# Log a task
log_task("RAG memory retrieval", "✅", "Success")

# Add a todo
add_todo("Team sync at 3 PM")

# Get summary
print(get_today_summary())

🛠️ Required Tools

  • file_read: Read log files
  • file_write: Write log content

📝 Changelog

v1.0.0 (2026-03-17)

  • ✅ Initial release
  • ✅ Auto daily log creation
  • ✅ Event / task / todo recording
  • ✅ Summary generation

🤝 Contributing

GitHub: https://github.com/openclaw/skills


📄 License

MIT License


Author: socneo
Last updated: 2026-03-18

Usage Guidance
This skill appears to do what it claims (local daily logs). Before installing: 1) Inspect or create config.json and set memory_dir to a non-sensitive directory (avoid /, /etc, directories that contain secrets or keys). 2) Verify the package files are complete (the provided listing was truncated in the display; confirm auto_log_skill.py is intact) and run test.py in a safe workspace to see where files are written. 3) If you run agents with elevated filesystem permissions, restrict the skill's memory_dir and filesystem permissions so logs cannot overwrite important files. 4) Confirm you are comfortable with the agent being able to autonomously invoke this skill (default) — it will create/append local files when invoked.
Capability Analysis
Type: OpenClaw Skill Name: auto-log Version: 1.0.0 The Auto Log Skill is a straightforward utility for recording agent activities into daily Markdown files. It uses standard Python libraries (pathlib, json, datetime) to manage logs in a local directory and contains no network activity, obfuscation, or suspicious execution patterns. All functions, such as logging events, tasks, and todos, align perfectly with the stated purpose in the documentation (auto_log_skill.py and SKILL.md).
Capability Assessment
Purpose & Capability
The name/description (daily logging of agent events/tasks/todos) matches the code and SKILL.md. The code only reads/writes files in a configurable memory_dir and exposes helpers and a CLI consistent with the documented features.
Instruction Scope
SKILL.md instructions stay within the logging purpose (copy config, set memory_dir, call log_event/log_task/add_todo/get_today_summary). The docs mention required tools 'file_read' and 'file_write' (these are agent tool capabilities, not OS binaries) — that's expected. One consideration: the memory_dir config can point to any filesystem path, so the skill will read/write wherever that path points; users should ensure config.json does not point at sensitive locations.
Install Mechanism
No install spec or external downloads; the skill is instruction-only with included Python files and uses only the standard library. No network fetches or package installs are present.
Credentials
The skill requires no environment variables, no credentials, and no config paths by default. The config.json controls only local memory_dir/format/auto_save, which is proportionate to a logging utility.
Persistence & Privilege
always is false and the skill does not modify other skills or global agent configuration. It writes only to the configured memory_dir and creates files there — this is appropriate for a logging skill.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install auto-log
  3. After installation, invoke the skill by name or use /auto-log
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release: automatic daily activity logging skill
Metadata
Slug auto-log
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Auto Log?

Automatically creates daily log files to record AI agent events, tasks, todos, and provides summaries of daily activity. It is an AI Agent Skill for Claude Code / OpenClaw, with 172 downloads so far.

How do I install Auto Log?

Run "/install auto-log" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Auto Log free?

Yes, Auto Log is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Auto Log support?

Auto Log is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Auto Log?

It is built and maintained by socneo (@socneo); the current version is v1.0.0.

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