Auto Log

Automatically creates daily log files to record AI agent events, tasks, todos, and provides summaries of daily activity.

Security Scan

The skill is internally consistent with its description: it creates and manages daily log files on the local filesystem and does not request credentials, network access, or unusual installs.

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.

Assessment

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.

Auto Log Skill

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

📖 中文文档

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🎯 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

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📦 Installation

clawhub install auto-log

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🔧 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

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🚀 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())

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🛠️ Required Tools

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

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📝 Changelog

v1.0.0 (2026-03-17)

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

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🤝 Contributing

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

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📄 License

MIT License

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Author: socneo
Last updated: 2026-03-18