Observability Analyze Logs
CheckedAnalyze application logs to identify errors, performance bottlenecks, and potential security threats in real time.
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 dawiddutoit/custom-claude --skill observability-analyze-logs -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
dawiddutoit
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 dawiddutoit/custom-claude at 17b45a90a6.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 17b45a90a6
- Scanned
- 7 files, 3,737 lines
About this skill
What it does
This skill allows you to analyze log data and extract meaningful insights. It can identify error patterns, summarize key events from logs, and help pinpoint the root cause of issues within a system. The skill is designed to process large volumes of log entries efficiently and provide concise summaries for faster troubleshooting.
When to use it
- Troubleshooting application errors: Quickly understand the sequence of events leading up to an error by analyzing relevant log files.
- Identifying performance bottlenecks: Analyze logs related to specific services or endpoints to identify slow response times or resource contention.
- Security incident investigation: Examine security-related logs for suspicious activity and potential breaches.
- Monitoring system health: Regularly analyze logs to proactively detect anomalies and prevent future issues.
Key capabilities
- Log parsing and analysis
- Error pattern identification
- Log summarization
- Root cause analysis assistance
Example prompts
- "Analyze the application logs from the last 24 hours and identify any recurring error patterns."
- "Summarize the key events related to user authentication failures in the security logs."
- "What are the top 5 most frequent errors logged by the database server?"
Tips & gotchas
The skill's effectiveness depends on well-structured and consistently formatted log data. Ensure your logging practices include sufficient context for accurate analysis.