Sls Trace Analyzer
CheckedThe Sls Trace Analyzer swiftly dissects SLT traces for anomalies and insights, boosting troubleshooting efficiency and rapid issue resolution.
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 abcfed/claude-marketplace --skill sls-trace-analyzer -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
abcfed
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 abcfed/claude-marketplace at f90c972905.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- f90c972905
- Scanned
- 3 files, 996 lines
About this skill
What it does
The sls-trace-analyzer skill analyzes execution traces to identify performance bottlenecks and potential errors. It can parse stack traces, pinpoint slow function calls, and provide insights into resource usage within a system. This allows for targeted optimization and debugging efforts.
When to use it
- Debugging Performance Issues: Use when an application is running slowly or experiencing unexpected delays.
- Analyzing Error Logs: Employ this skill to understand the root cause of errors by examining associated stack traces.
- Optimizing Resource Usage: Identify functions consuming excessive resources (CPU, memory) based on trace data.
- Post-Deployment Monitoring: Integrate with monitoring systems to proactively detect and address performance regressions.
Key capabilities
- Stack Trace Parsing
- Function Call Identification
- Resource Usage Analysis
- Error Context Extraction
Example prompts
- "Analyze this stack trace: [paste stack trace here]"
- "What functions are contributing most to the overall execution time?"
- "Explain the error in this log and provide a possible solution."
Tips & gotchas
The skill's effectiveness depends on the quality of the provided execution traces. Ensure that tracing is enabled at an appropriate level within your application for accurate analysis.