Log Monitoring
CheckedProactively identifies and alerts on critical errors and anomalies in application logs using advanced pattern recognition.
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 sayujks0071/antidhan --skill log-monitoring -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
sayujks0071
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 sayujks0071/antidhan at d9b6054501.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- d9b6054501
- Scanned
- 1 file, 167 lines
About this skill
What it does
This skill provides automated log monitoring capabilities. It allows users to define rules and thresholds for specific log events, triggering alerts when those conditions are met. The skill can analyze logs in real-time or process historical data to identify trends and potential issues.
When to use it
- Proactive Issue Detection: Monitor application logs for error rates exceeding a defined threshold to catch problems before they impact users.
- Security Incident Response: Track login attempts, access violations, and other security-related events in logs to quickly respond to potential breaches.
- Performance Troubleshooting: Analyze log data related to response times or resource usage to identify performance bottlenecks.
- Compliance Auditing: Automatically monitor logs for specific keywords or patterns required for regulatory compliance.
Key capabilities
- Real-time log analysis
- Rule-based alerting
- Threshold definition
- Historical log processing
Example prompts
- "Monitor the application logs for error messages and alert me if the rate exceeds 5 per minute."
- "Show me a graph of login attempts over the last hour."
- “Analyze the server access logs for any failed authentication attempts.”
Tips & gotchas
The skill's effectiveness depends on well-defined log formats. Ensure your application logs are structured and consistent for accurate monitoring.