Log
CheckedThis skill logs events to a specified channel, providing valuable debugging and tracking information for your bot's activity.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add iulspop/aidd-skills --skill log -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
iulspop
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned iulspop/aidd-skills at 6f8a5e303d.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 6f8a5e303d
- Manifest
- skills/log/SKILL.md
- Scanned
- 1 file, 42 lines
About this skill
What it does
The log skill provides a mechanism to record and track information within an AI agent's workflow. It allows for the creation of log entries, which can include timestamps, messages, and potentially other relevant data. This functionality is useful for debugging, auditing, and understanding the agent’s decision-making process.
When to use it
- Debugging complex workflows: When an AI agent exhibits unexpected behavior, logging key steps helps pinpoint the source of the error.
- Auditing decisions: For compliance or transparency reasons, log actions taken by the agent and the reasoning behind them.
- Monitoring performance: Track important events to analyze how efficiently the agent is operating over time.
- Reconstructing event sequences: If an issue occurs, logs can be used to replay the steps leading up to it.
Key capabilities
- Creates log entries with timestamps.
- Allows inclusion of messages within log entries.
- Provides a mechanism for tracking agent activity.
Example prompts
- "Log that I received a request from user 'Alice'."
- "Create a log entry indicating the current temperature is 25 degrees Celsius."
- “Record this decision: I chose option B because…”
Tips & gotchas
The effectiveness of the log skill depends on providing clear and concise messages to be recorded. Excessive logging can impact performance, so use it strategically for critical events or debugging purposes.