Install
$ agentstack add skill-rohasnagpal-legal-ai-skills-m-and-a-diligence-checker ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
M&A Diligence Checker
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.
Output
Produce:
- Diligence scope and request list.
- Data-room completeness tracker.
- Issue log — severity, evidence, impact, recommendation, owner, and status.
- Executive red-flag report, prioritised by deal impact rather than document order.
- Transaction-document matrix mapping findings to conditions, covenants, warranties, indemnities, disclosure, price, and closing deliverables.
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.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: rohasnagpal
- Source: rohasnagpal/legal-ai-skills
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.