salary-negotiation-prep

salary-negotiation-prep is a skill for Claude Code, Codex from opencue/cuecards. It costs 21 tokens per session (2,613 once invoked), scanned A, a copy of salary-negotiation-prep, MIT.

A job-offer preparation guide for researching typical pay and planning a salary or compensation negotiation. Total compensation includes salary plus items such as bonuses, equity, benefits, and paid time off.

In plain words
What is it for?
Use it to research market rates, compare compensation packages, identify negotiation points, and write counter-offer scripts.
Why use it?
It helps you judge an offer fairly and prepare clear responses instead of negotiating only from memory or emotion.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument; installed under .agents/ (shared by several agents).

Good fit Use it to research market rates, compare compensation packages, identify negotiation points, and write counter-offer scripts.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/opencue/cuecards/salary-negotiation-prep
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add opencue/cuecards --skill salary-negotiation-prep
Clone the repo
git clone --depth 1 https://github.com/opencue/cuecards

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for salary-negotiation-prep

README.md
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Your own site
<a href="https://agentmods.dev/skills/opencue/cuecards/salary-negotiation-prep"><img src="https://agentmods.dev/badge/skills/opencue/cuecards/salary-negotiation-prep/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

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Your own site · 80×15
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Per session 21 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,613 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00021 $0.02613
Opus 5.5 $0.00008 $0.01045
Sonnet 5.5 $0.00004 $0.00523
Haiku 4.5 $0.00002 $0.00261

Measured 2mo ago against content hash efac612f8ab5, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

salary-negotiation-prep scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

100% identical to salary-negotiation-prep — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.agents/skills/salary-negotiation-prep/SKILL.md · 379 lines

How it starts

The opening of the file, as written. The whole thing — 379 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Salary Negotiation Prep

When to Use This Skill

Use this skill when the user wants to:

  • Negotiate a job offer or salary
  • Research market rates for their role
  • Create a counter-offer strategy
  • Understand total compensation packages
  • Mentions: "salary negotiation", "negotiate offer", "counter offer", "compensation", "how much should I ask for"

Core Capabilities

  • Research and validate market compensation
  • Build negotiation strategy and scripts
  • Calculate total compensation (not just base salary)
  • Prepare counter-offer responses
  • Identify negotiation leverage points
  • Navigate difficult salary conversations

The Negotiation Mindset

Key Principles:

  1. Negotiation is expected - companies budget for it
  2. 84% of employers expect candidates to negotiate
  3. Not negotiating leaves $500K-$1M on the table over a career
  4. The goal is win-win, not adversarial

What You're Really Negotiating:

  • Base salary
  • Signing bonus
  • Annual bonus/commission
  • Equity (stock options, RSUs)
  • Benefits (401k match, insurance)
  • Perks (vacation, remote work, professional development)
  • Start date
  • Title

Research Phase

Step 1: Determine Market Rate

Sources to Check:

  • Levels.fyi (best for tech)
  • Glassdoor (general, take with grain of salt)
  • LinkedIn Salary
  • Blind (anonymous reports)
  • PayScale
  • Salary.com
  • H1B salary data (publicly available)

Build a Range:

Low (25th percentile): $XXX,XXX
Target (50th percentile): $XXX,XXX  
High (75th percentile): $XXX,XXX
Stretch (90th percentile): $XXX,XXX

Step 2: Know Your Value

Factors That Increase Your Worth:

  • Years of relevant experience
  • Specialized/rare skills
  • Track record of results
  • In-demand certifications
  • Current competing offers
  • Referral from employee
  • Market demand in your field

Factors That May Limit:

  • Entry level or career change
  • Less experience than ideal candidate
  • Gaps in required skills
  • Location arbitrage (lower cost of living)

Step 3: Calculate Total Compensation

Read the full file on GitHub · 379 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 379 lines · 21 tokens per session scan A efac612f8ab5

Subscribe to this mod's changes

salary-negotiation-prep is a skill published in the GitHub repository opencue/cuecards (7 stars, last pushed yesterday), licensed MIT. It adds 21 tokens to every session and 2,613 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to salary-negotiation-prep, differing in 0 lines, and is treated as a copy.

Related

salary-negotiation-prep compared with skills from other repositories

salary-negotiation-prep next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
salary-negotiation-prepopencue/cuecardsSkill7yesterdayMITA21Claude Code, Codex
agentloop-audit-queryalibaba/loongsuite-pilotSkill239yesterdayApache-2.0A114Claude Code, Codex
loongsuite-pilot-insightalibaba/loongsuite-pilotSkill239yesterdayApache-2.0A111Claude Code, Codex
loongsuite-pilot-opsalibaba/loongsuite-pilotSkill239yesterdayApache-2.0A15Claude Code, Codex
atomic-visual-optionsdamusix/atomic-claudeSkill1155d agoMITA150Claude Code, Codex
atomic-wikidamusix/atomic-claudeSkill1155d agoMITA204Claude Code, Codex
atomic-reviewdamusix/atomic-claudeSkill1155d agoMITA63Claude Code, Codex