CHAT—Logger

v1.0.1

Automatically logs every conversation message to workspace/chat/YYYY-MM-DD.md. Creates new files if needed, always appends never overwrites.

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high confidence
Purpose & Capability
Name and description (daily append-only logging) align with the SKILL.md. No extra binaries, credentials, or config paths are requested that would be unrelated to simple filesystem logging.
Instruction Scope
Instructions are narrowly scoped to creating a chat/ directory and appending timestamped entries to daily Markdown files using Node.js fs APIs. One practical note: the sample code uses process.cwd() as the workspace, so the agent will write to its current working directory unless an explicit workspace path is provided — this is expected but worth being deliberate about to avoid writing logs to an unexpected location.
Install Mechanism
No install spec or external downloads; instruction-only skill that relies on built-in Node.js modules. Lowest-risk installation footprint.
Credentials
No environment variables, credentials, or config paths are required. The requested filesystem write access (workspace) is proportionate to the stated logging purpose.
Persistence & Privilege
always is false and the skill does not request elevated or persistent platform privileges. It only describes writing files under the workspace, which is consistent with its purpose.
Assessment
This skill appears to do exactly what it says: append conversation turns to daily Markdown files under workspace/chat. Before using it, decide and configure where 'workspace' should be (avoid ambiguous process.cwd()), restrict filesystem permissions for the chat directory, and consider privacy: logs may contain sensitive information or secrets from conversations. Implement retention/rotation, encryption, or opt-out for sensitive messages if needed. Because this is an instruction-only skill, it won't run unless the agent or runtime implements the logging steps — review any agent code that performs the actual writes to ensure it follows the append-only behavior and writes only to the intended path.

Like a lobster shell, security has layers — review code before you run it.

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Updated 1mo ago
v1.0.1
MIT-0

activity_logger 📝

A minimal skill for logging conversation messages to daily Markdown files.

Purpose

Automatically log every user message and assistant reply to a daily Markdown file.

What It Does

  • Creates one log file per day: workspace/chat/YYYY-MM-DD.md
  • Appends each conversation entry to the daily file
  • Never overwrites existing data
  • Creates directories and files automatically if they don't exist

Log Format

[HH:MM:SS]
User: <message>
Assistant: <reply>

How It Works

The agent should manually log each conversation turn using this logic:

1. Create Daily Log File

const fs = require('fs');
const path = require('path');
const os = require('os');

// Get workspace path
const workspace = process.cwd(); // or your workspace path
const chatDir = path.join(workspace, 'chat');

// Create directory if it doesn't exist
if (!fs.existsSync(chatDir)) {
  fs.mkdirSync(chatDir, { recursive: true });
}

// Get current date for filename
const now = new Date();
const dateStr = now.toISOString().split('T')[0]; // YYYY-MM-DD
const timeStr = now.toTimeString().split(' ')[0]; // HH:MM:SS

const logFile = path.join(chatDir, `${dateStr}.md`);

2. Append Log Entry

// Format log entry
const userMsg = /* get user message */;
const assistantMsg = /* get assistant reply */;

let logEntry = `\n[${timeStr}]\n`;
if (userMsg) {
  logEntry += `User: ${userMsg}\n`;
}
if (assistantMsg) {
  logEntry += `Assistant: ${assistantMsg}\n`;
}

// Append to file
fs.appendFileSync(logFile, logEntry);

3. Example Entry

[14:30:00]
User: Hello, how are you?
Assistant: I'm doing well, thank you for asking!

[14:32:15]
User: What's the weather like today?
Assistant: Let me check the weather for you.

Log Location

workspace/chat/YYYY-MM-DD.md

Example:

C:\Users\user\OpenClawWorkspace\chat\2026-03-07.md

Usage Notes

  • This is a manual logging skill - the agent writes to the log file after each response
  • The skill doesn't use hooks - it's triggered by agent code
  • Each entry is appended with a timestamp
  • The file is created automatically on first entry of the day
  • Multiple conversations on the same day go to the same file

Integration

To use this skill:

  1. Copy the chat/ directory structure to your workspace
  2. After each agent response, append the user message and assistant reply to the daily log file
  3. Use the format shown above

Files

  • SKILL.md - This file
  • README.md - ClawHub package readme

License

MIT

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