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Backend Pe

Checked
prakharmnnit·vlatest·backend·MIT

Analyzes backend performance metrics, identifies bottlenecks, and suggests optimization strategies based on Prakhar's expertise.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add praxstack/skills-and-personas --skill backend-pe -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

prakharmnnit

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.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

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 prakharmnnit/skills-and-personas at 286a98fc67.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
3 files, 329 lines
Copies in repo
2 — all of them scanned
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill, backend-pe, provides capabilities related to backend processes. While specific details are not provided in the source, it suggests functionality for managing or interacting with server-side operations and potentially data handling. It is designed to enhance AI agent performance in tasks requiring interaction with a backend infrastructure.

When to use it

  • Automating repetitive backend tasks like database updates or log analysis.
  • Troubleshooting issues by querying backend systems for error information.
  • Integrating an AI agent with existing backend APIs and services.
  • Generating reports based on data retrieved from backend sources.

Key capabilities

  • Backend process management
  • Data handling
  • API integration (implied)

Example prompts

  • "Check the status of the order processing service."
  • "Retrieve recent error logs from the database server."
  • "Update customer records in the backend system with this new information."

Tips & gotchas

The skill's effectiveness depends on proper configuration and access to relevant backend systems. Specific commands or authentication methods may be required for successful operation, which are not detailed in the source.