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 w95/awesome-claude-corporate-skills --skill ma-due-diligencegit clone --depth 1 https://github.com/w95/awesome-claude-corporate-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/w95/awesome-claude-corporate-skills/ma-due-diligence)<a href="https://agentmods.dev/skills/w95/awesome-claude-corporate-skills/ma-due-diligence"><img src="https://agentmods.dev/badge/skills/w95/awesome-claude-corporate-skills/ma-due-diligence/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/w95/awesome-claude-corporate-skills/ma-due-diligence"><img src="https://agentmods.dev/badge/skills/w95/awesome-claude-corporate-skills/ma-due-diligence.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00074 | $0.05189 |
| Opus 5 | $0.00037 | $0.02594 |
| Sonnet 5 | $0.00015 | $0.01038 |
| Haiku 4.5 | $0.00007 | $0.00519 |
Grade A, and why
ma-due-diligence 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 12d 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 — 634 lines — stays where its author put it; the contents beside it link to each section on GitHub.
M&A Due Diligence & Integration Planning
Overview
M&A transactions are among the highest-stakes decisions an executive makes. This skill enables you to conduct rigorous due diligence on acquisition targets, evaluate strategic fit and synergies, plan comprehensive integration strategies, manage transaction risks, and execute successful post-merger integration. Use this skill whenever you're evaluating targets for acquisition, preparing your company for sale, negotiating M&A terms, or planning post-merger integration.
M&A Due Diligence Framework
Phase 1: Target Identification & Initial Evaluation
Target Screening Framework
Develop clear criteria for acquisition targets:
ACQUISITION CRITERIA CHECKLIST
STRATEGIC FIT
├─ Does it fill a capability gap we can't build in <2 years?
├─ Does it expand our total addressable market?
├─ Does it accelerate entry to new market segment?
├─ Does it strengthen competitive moat?
├─ Does it align with long-term strategy?
FINANCIAL PROFILE
├─ Revenue size: $[X]M - $[Y]M?
├─ Growth rate: [X%]+ YoY?
├─ Profitability: [X]% EBITDA margin or path to profitability?
├─ Price range: [X]-[Y]x revenue or [X]-[Y]x EBITDA?
├─ Required capital allocation: <[X]% of our cash?
CUSTOMER & MARKET
├─ Target customer overlap: [X]% (synergies potential)
├─ New customer segments: How many? How big?
├─ Market growth rate: [X]%+ annually?
├─ Competitive intensity: Low/medium/high?
├─ Customer concentration: Top 10 customers = ?% of revenue
TECHNOLOGY & IP
├─ Core technology differentiation: Yes/No?
├─ Patent portfolio: Valuable/Standard/Expired?
├─ Technical debt: Manageable/Significant/Blocker?
├─ Development capability: Strong/Medium/Weak?
├─ Architecture fit with our platform: High/Medium/Low?
PEOPLE & CULTURE
├─ Key person dependencies: <[X]?
├─ Engineering team quality: Hire/Integrate/Reduce?
├─ Sales team effectiveness: Keep/Integrate/Replace?
├─ Cultural compatibility: High/Medium/Low?
├─ Retention risk of key talent: <[X]%?
LEGAL & COMPLIANCE
├─ Litigation history: Clean/Minor/Significant?
├─ Regulatory compliance: Strong/Needs work/Red flags?
├─ IP rights: Clear/Potential disputes/Blocker issues?
├─ Material contracts: Any unfavorable terms?
├─ Data privacy (GDPR, etc.): Compliant/At risk?
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.
- 12d ago First seen · 634 lines · 74 tokens per session scan A efa35e3c9a35
ma-due-diligence is a skill published in the GitHub repository w95/awesome-claude-corporate-skills (198 stars, last pushed 6mo ago), licensed MIT. It adds 74 tokens to every session and 5,189 once invoked, about $0.0004 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 2026-08-30.
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