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Earnings Competitive Review

Listed
octagonai·vlatest·other·MIT

Analyzes job postings to benchmark salary ranges and identify competitive compensation strategies for your role.

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 octagonai/skills --skill earnings-competitive-review -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

octagonai

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 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.

  • No pipe-to-shell installers: failed

    Runs code fetched at install time in 1 place.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

    What it found

    • skills/earnings-competitive-review/references/mcp-setup.md:18remote script run via command substitution
      /bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"

  • 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

    Only contacts known or declared hosts: raw.githubusercontent.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

    raw.githubusercontent.comsource host

  • 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.

  • Pinned to a commit: passed

    Scanned octagonai/skills at 51e938c4d0.

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

Commit
51e938c4d0
Manifest
skills/earnings-competitive-review/SKILL.md
Scanned
5 files, 660 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 salary data to provide competitive compensation reviews. It compares an individual's current earnings against industry benchmarks and similar roles, identifying potential areas for negotiation or adjustment. The results are presented in a clear format highlighting strengths and weaknesses relative to market rates.

When to use it

  • Salary Negotiation: Before entering salary negotiations with your employer, understand how your compensation stacks up against the competition.
  • Job Seeking: Assess if your current salary aligns with market value for similar roles you're considering.
  • Performance Review Preparation: Use data-driven insights to support requests for raises or promotions during performance reviews.
  • Career Planning: Identify skill gaps that may be impacting earning potential and inform career development goals.

Key capabilities

  • Salary comparison against industry benchmarks
  • Role-specific salary analysis
  • Identification of compensation strengths & weaknesses
  • Clear, formatted results presentation

Example prompts

  • "Analyze my current salary as a Senior Software Engineer in San Francisco."
  • "Compare the average salary for a Data Scientist with 5 years experience in New York City."
  • "What is a competitive salary range for a Marketing Manager role?"

Tips & gotchas

The accuracy of the review depends on the availability and quality of underlying salary data. Ensure you provide accurate job title, location, and experience level for best results.