Agent skill

M And A Diligence Checker

by rohasnagpal in rohasnagpal/legal-ai-skills

Plans and performs legal due diligence for acquisitions, investments, mergers, asset purchases, joint ventures, and exits, producing a tailored request list, completeness assessment, evidence-linked…

MITAuto-check passedBusiness, Finance & HR

Install M And A Diligence Checker

skills CLI
$ npx skills add rohasnagpal/legal-ai-skills --skill m-and-a-diligence-checker -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install rohasnagpal/legal-ai-skills m-and-a-diligence-checker --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/rohasnagpal/legal-ai-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/legal-ai-skills/skills/m-and-a-diligence-checker .claude/skills/m-and-a-diligence-checker && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
m-and-a-diligence-checker
GitHub stars
178
Token cost
~1.5k tokens
SKILL.md length
721 words
Files
3 (incl. references)
Skills in repo
11
Repo updated
First seen
Licence
MIT

At a glance

Plans and performs legal due diligence for acquisitions, investments, mergers, asset purchases, joint ventures, and exits, producing a tailored request list, completeness assessment, evidence-linked…

  • Works in 10 steps: Translate the transaction into diligence… → Create a tailored request list rather… → Maintain a document inventory with… → …
  • Counsel needs diligence scoping
  • SKILL.md covers Purpose, Required inputs, Method and Sanctions screening, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

M And A Diligence Checker is an agent skill from rohasnagpal/legal-ai-skills. Plans and performs legal due diligence for acquisitions, investments, mergers, asset purchases, joint ventures, and exits, producing a tailored request list, completeness assessment, evidence-linked issue log, red-flag report, and deal-document recommendations. Use when a buyer, investor, seller, lender, or counsel needs diligence scoping, data-room review, gap tracking, risk ranking, or disclosure-schedule support. Use for transaction diligence, not a general recurring corporate compliance calendar.

Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `agents/openai.yaml` and `references/cuad-contract-sweep.md`).

It sits in Business, Finance & HR, covering Fundraising and pitch decks. The repository describes itself as: Set Up an AI-Powered Full-Service Law Firm in 90 Seconds. The licence is MIT.

When your agent uses it

  • Counsel needs diligence scoping
  • Data-room review
  • Disclosure-schedule support
  • Transaction diligence

Example prompts

  • “Use the m-and-a-diligence-checker skill to plan and performs legal due diligence for acquisitions, investments, mergers, asset purchases, joint…”
  • “/m-and-a-diligence-checker”

Workflow steps

10 steps, taken from the first numbered list in SKILL.md.

  1. Translate the transaction into diligence hypotheses. Identify what must be true for title, control, value, operation, financing…
  2. Create a tailored request list rather than a generic dump. Cover only relevant domains: corporate records and capitalisation; ownership…
  3. Maintain a document inventory with request number, period, entity, status, version, response, reviewer, and follow-up. Distinguish Not…
  4. Verify corporate existence, authority, ownership, securities, options, convertibles, liens, transfer restrictions, minority rights, and…
  5. Review each material relationship for term, economics, change of control, assignment, termination, exclusivity, liability, indemnity…
  6. Link every issue to evidence and impact. Record entity, document, clause or source, fact, legal dependency, severity, likelihood, value or…
  7. Convert findings into deal responses: condition precedent, consent, pre-closing covenant, price adjustment, escrow or holdback, specific…
  8. Test management explanations against documents and public or official records where authorised. Mark oral explanations as unverified until…
  9. Update the issue log as documents arrive. Close an issue only with evidence and preserve the audit trail of why its status changed.
  10. State review limitations clearly: unavailable documents, sampling, jurisdictions not covered, specialist advice required, reliance, and…

What it can do on your machine

Read from SKILL.md and the folder at commit cf2332d. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

M And A Diligence Checker loads about 1.5k tokens when it runs, and up to ~2.9k if it reads all its reference files. Until then it costs about 133 tokens; SKILL.md has 721 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~133
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from rohasnagpal/legal-ai-skills at commit cf2332d, republished under its MIT licence (© rohasnagpal). 721 words, ~1,530 tokens.

Download SKILL.mdSave it as .claude/skills/m-and-a-diligence-checker/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
m-and-a-diligence-checker
description
Plans and performs legal due diligence for acquisitions, investments, mergers, asset purchases, joint ventures, and exits, producing a tailored request list, completeness assessment, evidence-linked issue log, red-flag report, and deal-document recommendations. Use when a buyer, investor, seller, lender, or counsel needs diligence scoping, data-room review, gap tracking, risk ranking, or disclosure-schedule support. Use for transaction diligence, not a general recurring corporate compliance calendar.

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

  1. Translate the transaction into diligence hypotheses. Identify what must be true for title, control, value, operation, financing, integration, and planned exit to work.
  2. 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.
  3. Maintain a document inventory with request number, period, entity, status, version, response, reviewer, and follow-up. Distinguish Not provided, Not applicable, Provided but incomplete, and Reviewed.
  4. Verify corporate existence, authority, ownership, securities, options, convertibles, liens, transfer restrictions, minority rights, and discrepancies between registers, agreements, filings, and the cap table.
  5. 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. Run the CUAD contract sweep across the agreed material-contracts scope. Use the deal-critical tier on every in-scope contract and the remaining parameters where scope or a confirmed sample requires them. The sweep is a backstop for presence and location; the issue analysis in this step remains the review.
  6. 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.
  7. 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.
  8. Test management explanations against documents and public or official records where authorised. Mark oral explanations as unverified until supported.
  9. Update the issue log as documents arrive. Close an issue only with evidence and preserve the audit trail of why its status changed.
  10. State review limitations clearly: unavailable documents, sampling, jurisdictions not covered, specialist advice required, reliance, and cut-off date.
Show full SKILL.md (251 more words)Show less

Sanctions screening

Where sanctions exposure is in scope, use the bundled screen_sanctions_name tool for the target, its group entities, directors, beneficial owners and key counterparties, and record the lists searched and their dates. Results are potential matches for review, and no result is not clearance. See the sanctions screening guide.

UK Gazette check

For a UK company or individual, search The Gazette with the bundled search_uk_gazette_notices tool (by name and, for companies, company number) for winding-up petitions and orders, administrations, liquidator appointments, bankruptcy orders and strike-offs, and record the search and its date. An absent notice is not proof that no event occurred. See the UK integrations guide.

Output

Produce:

  1. Diligence scope and request list.
  2. Data-room completeness tracker.
  3. Issue log — severity, evidence, impact, recommendation, owner, and status.
  4. Executive red-flag report, prioritised by deal impact rather than document order.
  5. Transaction-document matrix mapping findings to conditions, covenants, warranties, indemnities, disclosure, price, and closing deliverables.
  6. Material-contracts matrix and consents schedule from the CUAD sweep, where contracts are in scope.

Guardrails

  • Do not describe the target as clean or compliant beyond the agreed scope and evidence reviewed.
  • Do not treat a missing document as proof of a breach, or a management assurance as documentary verification.
  • Do not invent public-record checks, licences, ownership, litigation status, or financial consequences.
  • Do not disclose privileged, competitively sensitive, personal, clean-team, or restricted data outside authorised review channels.
  • Do not give tax, accounting, technical, environmental, or foreign-law conclusions without the appropriate specialist source or verification.

© rohasnagpal, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (references) in plugins/legal-ai-skills/skills/m-and-a-diligence-checker of rohasnagpal/legal-ai-skills.

  • SKILL.md
  • agents/openai.yaml
  • references/cuad-contract-sweep.md

Open the folder on GitHubat commit cf2332d

Compare with similar skills

M And A Diligence Checker next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

M And A Diligence Checker compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
M And A Diligence Checker this skillrohasnagpal/legal-ai-skills178—~1.5kAutomated safety check: PassMIT
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Yc Applypedronauck/skills634—~1.3kAutomated safety check: PassNone
Storyline Buildersruthir28/enterprise-ai-skills1481 repos~1.9kAutomated safety check: PassMIT
Startup Pitchferdinandobons/startup-skill1.2k—~6.4kAutomated safety check: PassMIT
Dd SourcingAbilityai/trinity636—~664Automated safety check: PassApache-2.0

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Questions about M And A Diligence Checker

What does M And A Diligence Checker do?

Plans and performs legal due diligence for acquisitions, investments, mergers, asset purchases, joint ventures, and exits, producing a tailored request list, completeness assessment, evidence-linked…. M And A Diligence Checker is an agent skill from rohasnagpal/legal-ai-skills. Plans and performs legal due diligence for acquisitions, investments, mergers, asset purchases, joint ventures, and exits, producing a tailored request list, completeness assessment, evidence-linked issue log, red-flag report, and deal-document recommendations.

When should I use M And A Diligence Checker?

M And A Diligence Checker fits situations like: counsel needs diligence scoping; data-room review; disclosure-schedule support; transaction diligence.

How do I install M And A Diligence Checker in Claude Code?

Run `npx skills add rohasnagpal/legal-ai-skills --skill m-and-a-diligence-checker -a claude-code`. Or copy the skill folder (plugins/legal-ai-skills/skills/m-and-a-diligence-checker in rohasnagpal/legal-ai-skills) into .claude/skills/m-and-a-diligence-checker in your project. Claude Code loads it when a task matches its description.

How do I install M And A Diligence Checker in Codex?

Run `npx skills add rohasnagpal/legal-ai-skills --skill m-and-a-diligence-checker -a codex`. Or copy the skill folder (plugins/legal-ai-skills/skills/m-and-a-diligence-checker in rohasnagpal/legal-ai-skills) into .agents/skills/m-and-a-diligence-checker in your project. Codex loads it when a task matches its description.

Can I use M And A Diligence Checker in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add rohasnagpal/legal-ai-skills --skill m-and-a-diligence-checker -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/m-and-a-diligence-checker, .gemini/skills/m-and-a-diligence-checker, .github/skills/m-and-a-diligence-checker and .opencode/skills/m-and-a-diligence-checker in your project.

What does M And A Diligence Checker need to run?

SKILL.md names no scripts, command-line tools or credentials: M And A Diligence Checker is instructions for the agent only.

Does M And A Diligence Checker access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is M And A Diligence Checker safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does M And A Diligence Checker use?

M And A Diligence Checker is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does M And A Diligence Checker use?

About 1.5k tokens (SKILL.md is roughly 6.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.4k tokens, read only when the agent opens those files.

What are the alternatives to M And A Diligence Checker?

Skills that share tags, products or a category with M And A Diligence Checker: Virtuals Protocol Acp (Virtual-Protocol/openclaw-acp, 168 stars), Yc Apply (pedronauck/skills, 634 stars), Storyline Builder (sruthir28/enterprise-ai-skills, 148 stars) and Startup Pitch (ferdinandobons/startup-skill, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains M And A Diligence Checker?

rohasnagpal (a GitHub user) maintains it in rohasnagpal/legal-ai-skills, which has 178 GitHub stars. The repository holds 11 skills in this directory. The repository was last updated on October 10, 2026.

Source: rohasnagpal/legal-ai-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.