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Analyze And Recommend Third Party Optimizations

Listed
nebutra·vlatest·writing·MIT

Identifies third-party tools & configurations to optimize workflows based on Nebutra user data and goals.

Repository

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 nebutra/next-unicorn-skill --skill analyze-and-recommend-third-party-optimizations -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

nebutra

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 failed 2 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.

  • No undeclared network calls: failed

    Contacts 10 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: date-fns.org, docs.sentry.io, getpino.io, next-intl-docs.vercel.app, npm.pkg.github.com….

    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.

    Hosts contacted

    npm.pkg.github.comundeclaredwww.passportjs.orgundeclaredgetpino.ioundeclaredzod.devundeclaredgithub.comsource hostopentelemetry.ioundeclareddocs.sentry.ioundeclarednext-intl-docs.vercel.appundeclareddate-fns.orgundeclaredposthog.comundeclaredreact-hook-form.comundeclared

    What it found (3 of 10)

    • .github/workflows/release.yml:72contacts npm.pkg.github.com
      echo "@nebutra:registry=https://npm.pkg.github.com" > ~/.npmrc
    • examples/backend-node/output.json:14contacts www.passportjs.org
      "documentationUrl": "https://www.passportjs.org/docs/"
    • examples/backend-node/output.json:49contacts getpino.io
      "documentationUrl": "https://getpino.io/#/docs/api"

  • No credential access: failed

    Touches credential material in 3 places.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

    What it found

    • .github/workflows/release.yml:62npm auth token
      echo "//registry.npmjs.org/:_authToken=\${NPM_TOKEN}" > ~/.npmrc
    • .github/workflows/release.yml:72npm auth token
      echo "@nebutra:registry=https://npm.pkg.github.com" > ~/.npmrc
    • .github/workflows/release.yml:73npm auth token
      echo "//npm.pkg.github.com/:_authToken=\${NODE_AUTH_TOKEN}" >> ~/.npmrc

  • 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 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 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 nebutra/next-unicorn-skill at d4cf87fd41.

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

Commit
d4cf87fd41
Manifest
SKILL.md
Scanned
60 files, 13,116 lines
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 analyzes a given text and recommends relevant third-party optimization tools or services. It identifies areas for improvement within the provided context, then suggests specific external resources to address those needs. The goal is to enhance performance or achieve desired outcomes through leveraging specialized third-party solutions.

When to use it

  • Website Performance Review: Provide a website's code or analytics data and ask for recommendations on improving load times or SEO.
  • Content Optimization: Give the skill a piece of writing (blog post, article) and request suggestions for grammar checking, readability enhancement, or keyword optimization using external tools.
  • Code Refactoring Suggestions: Paste a snippet of code and have it identify potential performance bottlenecks and recommend third-party linters or profilers.
  • Marketing Campaign Analysis: Input marketing campaign data (e.g., ad spend, conversion rates) to receive recommendations for A/B testing platforms or analytics dashboards.

Key capabilities

  • Text analysis
  • Third-party tool recommendation
  • Performance optimization suggestions
  • Contextual understanding

Example prompts

  • "Analyze this website code and suggest tools to improve its performance."
  • "Can you review this blog post and recommend services for improving readability?"
  • "I have a Python script that's running slowly. Suggest third-party profilers I could use."

Tips & gotchas

The quality of recommendations depends heavily on the clarity and detail provided in the input text. Be as specific as possible about the desired outcome or area of concern for optimal results.