ResumeSkills is a collection of AI-agent skills for improving resumes, preparing job applications, practicing interviews, and planning career moves. It is intended for job seekers, career changers, and professionals using Claude Code for tasks such as ATS checks, job-description matching, resume tailoring, and salary negotiation. The catalogue entry consists of the project's career-focused skills.
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.
npx skills add Paramchoudhary/ResumeSkills --skill salary-negotiation-prepgit clone --depth 1 https://github.com/Paramchoudhary/ResumeSkillsWrote 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.
[](https://agentmods.dev/skills/paramchoudhary/resumeskills/salary-negotiation-prep)<a href="https://agentmods.dev/skills/paramchoudhary/resumeskills/salary-negotiation-prep"><img src="https://agentmods.dev/badge/skills/paramchoudhary/resumeskills/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.
<a href="https://agentmods.dev/skills/paramchoudhary/resumeskills/salary-negotiation-prep"><img src="https://agentmods.dev/badge/skills/paramchoudhary/resumeskills/salary-negotiation-prep.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00021 | $0.02613 |
| Opus 5 | $0.00010 | $0.01307 |
| Sonnet 5 | $0.00004 | $0.00523 |
| Haiku 4.5 | $0.00002 | $0.00261 |
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 10d 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- salary-negotiation-prep — 100% identical, 0 lines differ
- salary-negotiation-prep — 100% identical, 0 lines differ
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:
- Negotiation is expected - companies budget for it
- 84% of employers expect candidates to negotiate
- Not negotiating leaves $500K-$1M on the table over a career
- 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
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.
- 10d ago First seen · 379 lines · 21 tokens per session scan A efac612f8ab5
salary-negotiation-prep is a skill published in the GitHub repository Paramchoudhary/ResumeSkills (2,190 stars, last pushed 2mo ago), licensed MIT. It adds 21 tokens to every session and 2,613 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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