Performance Reporter
ListedGenerates concise, customizable reports summarizing system performance metrics and identifying potential bottlenecks.
Install on your platform
performance-reporter. SKILL.md has no name/description frontmatter, so the skills CLI skips it.We check each listing against its upstream repository with the rules the skills CLI uses, last on 2026-09-28. We don't show a command we know will fail.
What we know about this skill
Publisher
aaron-he-zhu
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
SKILL.md has no YAML frontmatter, so it declares nothing machine-readable.
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 aaron-he-zhu/seo-geo-claude-skills at 3a1578a63c.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 3a1578a63c
- Scanned
- 1 file, 17 lines
About this skill
What it does
The performance-reporter skill enables AI agents to generate detailed reports on system or application performance metrics. It can analyze logs, track resource usage, and provide insights into bottlenecks or areas for optimization.
When to use it
- After a software deployment to assess stability and efficiency
- During troubleshooting sessions to identify performance issues
- To create periodic summaries of server or application health
Key capabilities
- Analyzes system logs for anomalies
- Tracks CPU, memory, and disk usage metrics
- Generates visualizations and summary reports
Example prompts
- "Generate a performance report for the last 24 hours."
- "Analyze the server logs from yesterday and identify any errors."
- "Create a summary of resource usage during peak traffic times."
Tips & gotchas
Ensure that log files are accessible and properly formatted for accurate analysis. Performance data may be limited by the scope of access granted to the AI agent.