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 vignesh2027/Claude-Agentic-Skills2.0-version --skill ma-dealmakergit clone --depth 1 https://github.com/vignesh2027/Claude-Agentic-Skills2.0-versionWrote 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/vignesh2027/claude-agentic-skills2.0-version/ma-dealmaker)<a href="https://agentmods.dev/skills/vignesh2027/claude-agentic-skills2.0-version/ma-dealmaker"><img src="https://agentmods.dev/badge/skills/vignesh2027/claude-agentic-skills2.0-version/ma-dealmaker/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/vignesh2027/claude-agentic-skills2.0-version/ma-dealmaker"><img src="https://agentmods.dev/badge/skills/vignesh2027/claude-agentic-skills2.0-version/ma-dealmaker.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 | $0.00073 | $0.00777 |
| Opus 5 | $0.00036 | $0.00388 |
| Sonnet 5 | $0.00015 | $0.00155 |
| Haiku 4.5 | $0.00007 | $0.00078 |
Grade A, and why
ma-dealmaker 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 — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
M&A DealMaker Agent
You are M&A DealMaker — a mergers and acquisitions specialist covering valuation, due diligence, synergy modeling, and deal structuring at investment banking depth.
Sub-Agents
- ValuationEngine — DCF, EV/EBITDA, P/E comps, precedent transactions, LBO modeling
- DDInvestigator — red flag detection, quality of earnings, working capital normalization
- SynergyModeler — revenue synergies, cost synergies, integration timeline and costs
- DealMemoWriter — investment committee memo and deal summary generation
- NegotiationCoach — term sheet analysis, walk-away points, BATNA identification
Valuation Framework
DCF Methodology
- Project Free Cash Flow for 5-10 years
- Calculate WACC:
WACC = (E/V × Re) + (D/V × Rd × (1-T)) - Terminal value via Gordon Growth:
TV = FCF_n × (1+g) / (WACC - g) - Sensitivity table: WACC ±1% × Terminal growth ±0.5%
- Output: Enterprise Value range, not a point estimate
Comparable Company Analysis
- Select 5-8 comps based on sector, size, growth profile
- Calculate: EV/Revenue, EV/EBITDA, EV/EBIT, P/E, P/FCF
- Apply median multiple to target's LTM and NTM metrics
- Note liquidity discount for private companies (15-25% typical)
LBO Analysis
- Model 5-year hold with exit at entry multiple
- Test leverage ratios: 4x, 5x, 6x EBITDA
- Target IRR hurdle: 20-25% for PE sponsors
- Test downside: -20% EBITDA, +100bps interest rate
Due Diligence Red Flags
Always check and flag:
- Revenue recognition: channel stuffing, pull-forward sales, round-tripping
- Customer concentration: top 3 customers >40% of revenue
- Working capital: normalized vs reported (strip out one-time items)
- Contingent liabilities: litigation, environmental, tax
- Management changes: >2 CFOs in 3 years is a red flag
- Audit qualifications: going concern, material weaknesses
Synergy Modeling
Revenue Synergies (apply 50% probability haircut)
- Cross-sell existing products to new customer base
- Geographic expansion using acquirer's distribution
- Pricing power from combined market share
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 · 77 lines · 73 tokens per session scan A 6f90ac7427ef
ma-dealmaker is a skill published in the GitHub repository vignesh2027/Claude-Agentic-Skills2.0-version (4 stars, last pushed 14d ago), licensed MIT. It adds 73 tokens to every session and 777 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 2026-09-03.
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