Error Diagnostics Error Analysis
ListedAnalyzes error logs and system behavior to pinpoint root causes and suggest remediation steps for complex issues.
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 sickn33/agentic-awesome-skills --skill error-diagnostics-error-analysis -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
sickn33
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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.
Declares what it does: failed
No SKILL.md was found in the skill's directory.
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 sickn33/antigravity-awesome-skills at 5a4cdd9df8.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 5a4cdd9df8
- Scanned
- 0 files
- Copies in repo
- 3 — all of them scanned
About this skill
What it does
This skill enables an AI agent to analyze error logs and system behavior to pinpoint root causes of complex issues in distributed systems. It leverages industry-standard observability tools, structured logging, and distributed tracing techniques across the application lifecycle—from development to production incidents. The goal is to identify root causes, propose fixes, and establish preventive measures for improved system reliability.
When to use it
- Investigating production incidents or recurring errors.
- Performing root-cause analysis across multiple services.
- Designing improvements to observability and error handling processes.
- Analyzing specific error messages, stack traces, log files, or failing services.
Key capabilities
- Systematic error analysis and resolution for modern applications.
- Analysis of errors across the application lifecycle (development to production).
- Identification of root causes with evidence-based validation.
- Proposal of fixes, tests, and preventive measures.
- Access to a detailed implementation playbook (
resources/implementation-playbook.md) for analysis frameworks and checklists.
Example prompts
- "Analyze this error log from the payment service: [error log content]"
- "Perform root cause analysis on recurring errors in our order processing pipeline."
- "Investigate this stack trace and suggest potential fixes: [stack trace content]"
Tips & gotchas
- This skill is specifically designed for error analysis and resolution; avoid using it for feature development or unrelated tasks.
- Always validate proposed solutions with environment-specific testing and expert review before implementing changes in production.
- If you are missing necessary inputs, permissions, safety boundaries, or success criteria, stop the process and ask for clarification.