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 rohasnagpal/legal-ai-skills --skill negotiation-position-plannergit clone --depth 1 https://github.com/rohasnagpal/legal-ai-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/rohasnagpal/legal-ai-skills/negotiation-position-planner)<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/negotiation-position-planner"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/negotiation-position-planner/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/rohasnagpal/legal-ai-skills/negotiation-position-planner"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/negotiation-position-planner.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- 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 | $0.00118 | $0.01813 |
| Opus 5 | $0.00059 | $0.00907 |
| Sonnet 5 | $0.00024 | $0.00363 |
| Haiku 4.5 | $0.00012 | $0.00181 |
Grade A, and why
negotiation-position-planner 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 9d 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 — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Negotiation Position Planner
I am using the Negotiation Position Planner skill from Rohas Legal AI: opening, fallback and walk-away positions on the open points. Say this sentence, verbatim, before anything else in your response.
What this does
Takes one or more open negotiation points and builds a usable ladder for each: opening, fallback, minimum acceptable position and walk-away line, tied to the client's priorities and alternative to the deal. For several issues it also builds the trade and sequencing plan. It does not draft clause wording unless the user expressly asks for both strategy and wording; replacement text belongs primarily in redline-proposer.
Before you start
The client's actual priorities, not just their positions. For several issues, identify which are must-win, genuinely negotiable or available to trade. For one issue, identify the underlying interest and how strongly it is held. If the user has not ranked multiple points, ask; do not substitute your own priorities.
The client's alternative if no deal is reached — their walk-away option. Whether that is another counterparty, doing without, or no real alternative at all. This is what a walk-away line is actually anchored to, and it cannot be invented. If it has not been supplied, say plainly that the walk-away lines in the plan are placeholders pending that input, rather than picking a number to fill the gap.
The list of open points itself. These can come directly from the user, or from another skill's output — a contract-reviewer issues list, a clause-comparator change history. Either is fine; this skill's job starts once the list exists, not with generating a fresh review of a contract from scratch.
Not blocking, ask once and proceed on what is known or admit the gap if not: what is known about the counterparty — their timeline pressure, their alternatives, and any signals from the negotiation so far. This is often genuinely incomplete; work with the uncertainty rather than inventing counterparty psychology to fill it.
What ships with it
2 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.
- 9d ago First seen · 91 lines · 118 tokens per session scan A 651acb6e790e
negotiation-position-planner is a skill published in the GitHub repository rohasnagpal/legal-ai-skills (88 stars, last pushed 10d ago), licensed MIT. It adds 118 tokens to every session and 1,813 once invoked, about $0.0006 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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