PM Skills is a collection of plain-Markdown instructions that teach AI assistants structured methods for handling professional, personal, and life-admin tasks. People use it with Claude, ChatGPT, Gemini, Cursor, Codex, and other supported agents for work such as writing product requirements, reviewing documents, or planning difficult situations.
Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skillsnpx agentmods add rules/mohitagw15856/pm-claude-skills/salary-negotiationWrote 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/rules/mohitagw15856/pm-claude-skills/salary-negotiation)<a href="https://agentmods.dev/rules/mohitagw15856/pm-claude-skills/salary-negotiation"><img src="https://agentmods.dev/badge/rules/mohitagw15856/pm-claude-skills/salary-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/rules/mohitagw15856/pm-claude-skills/salary-negotiation"><img src="https://agentmods.dev/badge/rules/mohitagw15856/pm-claude-skills/salary-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 | $0.00074 | $0.00940 |
| Opus 5 | $0.00037 | $0.00470 |
| Sonnet 5 | $0.00015 | $0.00188 |
| Haiku 4.5 | $0.00007 | $0.00094 |
Grade A, and why
salary-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 7d 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 — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Salary Negotiation Skill
Most people leave money on the table because they negotiate from anxiety instead of preparation. This skill replaces nerves with a plan: compare offers on total comp (not just base), set a target and a walk-away anchored to your BATNA, justify the ask with your value, and script the counter — including the levers beyond base salary that are often easier wins.
Required Inputs
Ask for these only if they aren't already provided:
- The offer(s) — base, bonus, equity, sign-on, and any other components (and competing offers, if any).
- Your situation — current comp, your BATNA (best alternative — a competing offer, staying put), and how badly each side needs the other.
- Market data — comparable ranges for the role/level/location (levels.fyi, Glassdoor, peers), if you have it.
- What matters to you — cash now vs. equity upside, flexibility, title, start date.
Output Format
Negotiation Plan: [role] at [company]
1. Total-comp comparison — never compare base-to-base. Lay out total annual comp across the offer(s) and your current/alternative (use the helper script). Equity and bonus often flip the ranking.
2. Your numbers — target (ambitious but justifiable), walk-away (below which you decline), and anchor (open slightly above target). All three anchored to market + your BATNA.
3. Leverage read — how much you have (competing offer? scarce skills? they've invested in the process?) and how to use it without bluffing.
4. The justification — the value-based case for the ask: your evidence (impact, comparable comp, the competing offer), framed collaboratively ("I'm excited; to make this work…").
5. Counter scripts — exact wording for: countering the base, responding to "that's our max", and the non-base levers (sign-on, equity, title/level, start date, remote, review timing) that often move when base can't.
6. The walk-away plan — what you do if they won't meet the walk-away (and why having decided this in advance is your real power).
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.
- 7d ago First seen · 68 lines · 74 tokens per session scan A 2c9435c3aa32
salary-negotiation is a cursor rule published in the GitHub repository mohitagw15856/pm-claude-skills (1,352 stars, last pushed 3d ago), licensed MIT. It adds 74 tokens to every session and 940 once invoked, about $0.0004 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 2026-09-03.
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