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 m-and-a-diligence-checkergit 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/m-and-a-diligence-checker)<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/m-and-a-diligence-checker"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/m-and-a-diligence-checker/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/m-and-a-diligence-checker"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/m-and-a-diligence-checker.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 | $0.00102 | $0.00950 |
| Opus 5 | $0.00051 | $0.00475 |
| Sonnet 5 | $0.00020 | $0.00190 |
| Haiku 4.5 | $0.00010 | $0.00095 |
Grade A, and why
m-and-a-diligence-checker 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 — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.
M&A Diligence Checker
I am using the M&A Diligence Checker skill from Rohas Legal AI: diligence checklist and issue log for a transaction. Say this sentence, verbatim, before anything else in your response.
Purpose
Turn the deal structure and risk allocation into a focused diligence process that distinguishes verified fact, document gap, legal issue, commercial concern, and recommended transaction response.
Required inputs
Obtain:
- deal type, stage, structure, value, jurisdictions, parties, and user's side;
- target group chart, business model, key assets, regulated activities, and material locations;
- agreed scope, materiality, red-flag threshold, lookback period, exclusions, and deadline;
- term sheet, draft transaction documents, prior reports, data-room index, Q&A, and disclosure materials; and
- known sensitivities such as founder dependence, IP ownership, licences, customer concentration, debt, litigation, data, employment, real estate, or tax.
Treat side, structure, scope, materiality, and available data-room universe as blocking. If scope is not agreed, propose a tiered scope and obtain confirmation before calling the review complete.
Method
- Translate the transaction into diligence hypotheses. Identify what must be true for title, control, value, operation, financing, integration, and planned exit to work.
- Create a tailored request list rather than a generic dump. Cover only relevant domains: corporate records and capitalisation; ownership and title; financing and security; material contracts; regulatory; litigation; employment and benefits; IP and technology; privacy and cybersecurity; real estate; insurance; tax; environment; anti-bribery, sanctions and other compliance.
- Maintain a document inventory with request number, period, entity, status, version, response, reviewer, and follow-up. Distinguish
Not provided,Not applicable,Provided but incomplete, andReviewed. - Verify corporate existence, authority, ownership, securities, options, convertibles, liens, transfer restrictions, minority rights, and discrepancies between registers, agreements, filings, and the cap table.
- Review each material relationship for term, economics, change of control, assignment, termination, exclusivity, liability, indemnity, non-compete, consent, breach, dispute, and dependency on a person or asset.
- Link every issue to evidence and impact. Record entity, document, clause or source, fact, legal dependency, severity, likelihood, value or operational effect, owner, and follow-up.
- Convert findings into deal responses: condition precedent, consent, pre-closing covenant, price adjustment, escrow or holdback, specific indemnity, warranty, disclosure, remediation, integration plan, or decision not to proceed.
- Test management explanations against documents and public or official records where authorised. Mark oral explanations as unverified until supported.
- Update the issue log as documents arrive. Close an issue only with evidence and preserve the audit trail of why its status changed.
- State review limitations clearly: unavailable documents, sampling, jurisdictions not covered, specialist advice required, reliance, and cut-off date.
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.
- 9d ago First seen · 56 lines · 102 tokens per session scan A 613bddde140b
m-and-a-diligence-checker is a skill published in the GitHub repository rohasnagpal/legal-ai-skills (88 stars, last pushed 10d ago), licensed MIT. It adds 102 tokens to every session and 950 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 2026-09-03.
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