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 JayRHa/AgentSkills --skill salary-negotiatorgit clone --depth 1 https://github.com/JayRHa/AgentSkillsWrote 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/jayrha/agentskills/salary-negotiator)<a href="https://agentmods.dev/skills/jayrha/agentskills/salary-negotiator"><img src="https://agentmods.dev/badge/skills/jayrha/agentskills/salary-negotiator.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00103 | $0.01094 |
| Opus 5 | $0.00051 | $0.00547 |
| Sonnet 5 | $0.00021 | $0.00219 |
| Haiku 4.5 | $0.00010 | $0.00109 |
Grade A, and why
salary-negotiator 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 6d 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.
How it starts
The opening of the file, as written. The whole thing — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Salary Negotiator
Overview
This skill helps a user negotiate compensation with confidence and tact — whether it's a new job offer or an internal raise. It covers market research, what's actually negotiable, anchoring, counter-offer math, and word-for-word scripts that stay collaborative rather than adversarial.
Keywords: salary negotiation, compensation, job offer, counter offer, raise, equity, RSU, signing bonus, total comp, benefits, anchoring, BATNA, ask for more money.
When to use vs. not
Use this when a user has (or is about to get) an offer, wants a raise, or needs scripting for a comp conversation. This skill gives strategy and wording, not live market data — always tell the user to verify ranges against current sources (levels.fyi, Glassdoor, Payscale, Levels, local salary surveys) for their role, level, and location near the conversation date.
Inputs to gather first
- The full current offer / current comp — base, bonus, equity, signing, benefits, not just base.
- Role, level, location (remote vs. on-site changes the market).
- The user's target and walk-away numbers, and their BATNA (other offers, staying put).
- Leverage: competing offers, in-demand skills, internal value, how badly they need this job.
- Stage: verbal offer, written offer, or annual review.
Workflow
- Establish the market range. Have the user pull comparables for their exact role/level/location. Define a defensible range; place the target near the top third. See
references/market-research.md. - Map the full package. List every negotiable lever — base, annual bonus %, equity/RSUs, signing bonus, start date, vacation, remote, title, review timing. Base isn't the only knob. See
references/levers.md. - Know your BATNA and walk-away. The strongest negotiator is willing to walk. Define the alternative and the lowest acceptable total comp before talking.
- Never name the first number if you can avoid it. If asked expectations, deflect to "what's the range for this role?" If forced, anchor with a researched range whose bottom is your real target.
- Get the offer in writing, then express genuine enthusiasm and a counter: "I'm excited about this — I was hoping we could get the base closer to $X." Anchor high but defensible.
- Counter on the strongest lever first, with a reason (market data, competing offer, scope). Bundle 2–3 asks so there's room to concede gracefully. See
references/scripts.md. - Negotiate collaboratively. Use "we" framing, silence after the ask, and trade — if base won't move, pivot to signing bonus, equity, or an early review.
- Get the final deal in writing before resigning anything. Confirm every component.
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 6d ago First seen · 61 lines · 103 tokens per session scan A 06dc075c2afe
salary-negotiator is a skill published in the GitHub repository JayRHa/AgentSkills (5 stars, last pushed 1mo ago), licensed MIT. It adds 103 tokens to every session and 1,094 once invoked, about $0.0005 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 2026-08-31.
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