Linux Perf
CheckedAnalyzes system performance using `perf` on Linux, pinpointing bottlenecks and optimizing resource usage for faster applications.
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 mohitmishra786/low-level-dev-skills --skill linux-perf -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
mohitmishra786
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
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No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned mohitmishra786/low-level-dev-skills at bdc58472fa.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- bdc58472fa
- Scanned
- 2 files, 293 lines
About this skill
linux-perf
What it does
This skill enables AI agents to interact with the Linux Performance Monitoring Framework (perf) to analyze system performance data. It allows for the execution of perf commands to profile applications, identify bottlenecks, and inspect hardware events directly from within an agent environment.
When to use it
- Profiling a specific application binary to understand CPU usage patterns and hotspots.
- Investigating system-wide latency issues by analyzing kernel tracepoints and hardware counters.
- Generating performance reports for debugging slow-running services on Linux infrastructure.
- Verifying the impact of code optimizations by comparing perf data before and after changes.
Key capabilities
- Execute
perfcommands to record and analyze performance metrics. - Profile user-space applications to identify inefficient functions or threads.
- Inspect hardware events and kernel-level performance counters.
- Generate output suitable for further analysis or reporting within the agent workflow.
Example prompts
- "Run a perf profile on
/usr/bin/myappwith 10 seconds of recording time and display the top 5 functions by CPU usage." - "Analyze system performance using
perf topto identify the most active kernel functions over the last minute." - "Generate a report showing hardware cache misses for the process with PID 1234 using perf stat."
Tips & gotchas
Ensure the target Linux environment has the linux-perf toolchain installed and that the user agent has sufficient permissions to access performance data. Be aware that running perf on production systems may incur slight overhead, so it is best suited for staging or development environments unless configured carefully.