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 matellez/claude-skills --skill offer-evaluation-negotiationgit clone --depth 1 https://github.com/matellez/claude-skillsWrote 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/matellez/claude-skills/offer-evaluation-negotiation)<a href="https://agentmods.dev/skills/matellez/claude-skills/offer-evaluation-negotiation"><img src="https://agentmods.dev/badge/skills/matellez/claude-skills/offer-evaluation-negotiation/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/matellez/claude-skills/offer-evaluation-negotiation"><img src="https://agentmods.dev/badge/skills/matellez/claude-skills/offer-evaluation-negotiation.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00212 | $0.03114 |
| Opus 5 | $0.00106 | $0.01557 |
| Sonnet 5 | $0.00042 | $0.00623 |
| Haiku 4.5 | $0.00021 | $0.00311 |
Grade A, and why
offer-evaluation-negotiation 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
1 near-identical copy found in the catalogue:
- offer-evaluation-negotiation — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 382 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Offer Evaluation and Negotiation: Getting to the Right Number Without Losing the Offer
This skill evaluates a job offer and prepares the practitioner to negotiate from a position of clarity rather than anxiety. Most people negotiate badly not because they lack confidence but because they have not done the analysis first. They counter without knowing what the right counter is, without understanding which components of the offer are movable, and without a clear walk-away position.
The goal is not to maximize every component of the offer. The goal is to identify the gap between the offer and the right number, understand what is actually negotiable at this company and level, and close that gap without signaling desperation or damaging the relationship before day one.
HOW TO SET UP THIS SKILL
Provide:
- The specific offer: base salary, bonus structure (target and max), equity (amount, type, vesting schedule, cliff), benefits, start date
- Your target compensation range
- The company stage: bootstrapped, Series A, Series B, Series C, late-stage, or public
- Whether you have competing offers or other active processes
- What the recruiter has said about flexibility or timeline
- Whether the role is remote, hybrid, or in-office
If any component is missing, the skill will flag the gap and explain why it matters before proceeding.
How to Read a Director-Level B2B SaaS Offer
A Director-level offer has multiple components. Each has different negotiability and different long-term value. Evaluating only the base salary is the most common mistake.
Component 1: Base salary
Base salary is the floor of your compensation. It compounds. Every future raise is calculated from this number. Every future offer at another company will anchor to this number. Getting it right matters more than any other component.
For a Director of Demand Gen or RevOps in B2B SaaS in 2025-2026, search for current benchmarks before evaluating any offer. Ranges vary significantly by market, company stage, and whether the company has raised institutional capital. Always search before advising.
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 · 382 lines · 212 tokens per session scan A b29ace497902
offer-evaluation-negotiation is a skill published in the GitHub repository matellez/claude-skills (4 stars, last pushed 5mo ago), licensed MIT. It adds 212 tokens to every session and 3,114 once invoked, about $0.0011 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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