Performance Tuning
CheckedOptimizes system resource allocation and configuration to maximize efficiency and responsiveness based on real-time data.
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 bagelhole/devops-security-agent-skills --skill performance-tuning -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
bagelhole
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 bagelhole/devops-security-agent-skills at 0365f57a07.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 0365f57a07
- Scanned
- 1 file, 344 lines
About this skill
What it does
This skill allows an AI agent to analyze and suggest improvements for system performance. It can identify bottlenecks in resource utilization, recommend configuration changes, and optimize processes to enhance overall efficiency. The goal is to improve speed, responsiveness, and stability of systems or applications.
When to use it
- Slow application response times: When users are experiencing delays when interacting with an application.
- High server load: When a server's CPU or memory usage consistently remains high.
- Database query optimization: To improve the speed of database queries and reduce latency.
- Resource contention issues: Identifying situations where multiple processes are competing for limited resources.
Key capabilities
- Performance analysis
- Bottleneck identification
- Configuration recommendations
- Process optimization
Example prompts
- "Analyze the performance of our web server and suggest improvements."
- "Identify bottlenecks in this database query: [SQL Query]"
- "What are some ways to reduce CPU usage on this server?"
Tips & gotchas
The agent requires access to system metrics and logs for effective analysis. Results should be validated through testing before implementing changes in a production environment.