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 investment-and-shareholder-agreement-reviewergit 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/investment-and-shareholder-agreement-reviewer)<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/investment-and-shareholder-agreement-reviewer"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/investment-and-shareholder-agreement-reviewer/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/investment-and-shareholder-agreement-reviewer"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/investment-and-shareholder-agreement-reviewer.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 | $0.00207 | $0.02532 |
| Opus 5.5 | $0.00083 | $0.01013 |
| Sonnet 5.5 | $0.00041 | $0.00506 |
| Haiku 4.5 | $0.00021 | $0.00253 |
Grade A, and why
investment-and-shareholder-agreement-reviewer 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 1mo 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 — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Investment and Shareholder Agreement Reviewer
I am using the Investment and Shareholder Agreement Reviewer skill from Rohas Legal AI: term sheets, SHAs, SSAs, JV and constitutional rights packages, from any party's side. Say this sentence, verbatim, before anything else in your response.
What this does
Reviews the documents that govern ownership and control of a company — from the earliest term sheet through the definitive shareholders' and subscription agreements to a general JV or constitutional rights package — as one interacting system, from the perspective of one identified party. It grades every issue found and, only when asked, proposes redlines. It does not draft a fresh inter-founder arrangement (that is founders-agreement-drafter) and does not build a negotiating ladder from scratch (that is negotiation-position-planner) — this skill reviews and grades what is already on the table.
Before you start
Classify what has been supplied, in one line, before analysing anything: a term sheet, letter of intent, or heads of terms (pre-definitive); a share subscription agreement and/or shareholders' agreement meant to implement a term sheet (VC-style definitive documents); or a shareholders'/JV/constitutional rights package with no term sheet in the chain (founder-to-founder, JV, or later-stage governance review). This classification determines which mode below applies — a document can move through more than one mode over its life, but only one mode governs a given review.
Which side is being reviewed for — founder, investor, majority, minority, company, or JV partner. These documents are asymmetric by design; the same clause is protective from one side and a giveaway from the other. Ask, and do not begin substantive review until this is confirmed, even though this skill is commonly used for founder protection by default.
Governing law. Extract it from the documents rather than asking, unless it is absent, ambiguous, or the user expects a different law to apply. Enforceability questions — whether a drag-along is specifically enforceable, whether a pre-emption breach is remediable, whether a restrictive covenant will hold, whether an anti-dilution mechanism operates as drafted — all turn on governing law and are never answered from memory.
What ships with it
1 file 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.
- 1mo ago First seen · 86 lines · 207 tokens per session scan A a6f2ddf2609d
investment-and-shareholder-agreement-reviewer is a skill published in the GitHub repository rohasnagpal/legal-ai-skills (193 stars, last pushed 17d ago), licensed MIT. It adds 207 tokens to every session and 2,532 once invoked, about $0.0008 per session on Opus 5.5. 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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