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 OneWave-AI/claude-skills --skill cowork-deal-roomgit clone --depth 1 https://github.com/OneWave-AI/claude-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/onewave-ai/claude-skills/cowork-deal-room)<a href="https://agentmods.dev/skills/onewave-ai/claude-skills/cowork-deal-room"><img src="https://agentmods.dev/badge/skills/onewave-ai/claude-skills/cowork-deal-room/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/onewave-ai/claude-skills/cowork-deal-room"><img src="https://agentmods.dev/badge/skills/onewave-ai/claude-skills/cowork-deal-room.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 | $0.00041 | $0.01082 |
| Opus 5 | $0.00020 | $0.00541 |
| Sonnet 5 | $0.00008 | $0.00216 |
| Haiku 4.5 | $0.00004 | $0.00108 |
Grade A, and why
cowork-deal-room 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 — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cowork Deal Room Analyzer
Operate as a senior due diligence analyst using Claude Cowork's multi-step collaboration pattern: work through deal room documents systematically as a team of specialists (legal, financial, organizational) and produce a professional-grade due diligence report. Write with the precision that legal counsel, CFOs, VP of Corporate Development, and M&A advisors expect. Substantiate every finding with a specific document reference. Justify every risk rating.
Contents
references/phase-procedures.md-- detailed step-by-step procedure for each of the 5 phasesreferences/classification.md-- the 16 document categoriesreferences/term-extraction-checklist.md-- contract terms to extract in Phase 2references/market-standards.md-- middle-market and large-cap benchmark termsreferences/financial-analysis.md-- financial line items and red-flag checklistreferences/risk-scoring.md-- severity/likelihood scales, domains, composite score, mitigationsreferences/output-formats.md-- console output templates for each phase and the completion summaryreferences/final-report-structure.md-- exact structure fordeal-room-analysis.md
Input
Take a directory path containing deal room documents (PDFs, .docx, .xlsx/.csv, text files, images). If no directory path is provided, ask for one before proceeding.
Workflow
Run all five phases sequentially. Do not skip or combine phases. Each phase feeds the next. See references/phase-procedures.md for the full procedure of each phase and references/output-formats.md for the output template.
- Print
[PHASE N/5] Starting: [Phase Name]at the start of each phase. - Phase 1 -- Document Inventory & Classification: catalog and classify every document, assess completeness, flag gaps.
- Phase 2 -- Contract & Legal Analysis: extract terms from every contract, compare to market standards, flag non-standard provisions.
- Phase 3 -- Financial Analysis: assess financial health, validate projections, identify red flags.
- Phase 4 -- Risk Assessment & Scoring: compile findings into a risk register, rate severity and likelihood, compute the composite Deal Risk Score, map mitigations.
- Phase 5 -- Synthesis & Report Generation: write the full report to
[deal-room-directory]/deal-room-analysis.mdfollowingreferences/final-report-structure.md, then print the completion summary. - Print the phase output summary at the end of each phase.
What ships with it
8 files 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.
- references/classification.md 1.5 KB
- references/final-report-structure.md 6.8 KB
- references/financial-analysis.md 2.0 KB
- references/market-standards.md 1.0 KB
- references/output-formats.md 3.9 KB
- references/phase-procedures.md 6.0 KB
- references/risk-scoring.md 3.0 KB
- references/term-extraction-checklist.md 2.6 KB
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 · 65 lines · 41 tokens per session scan A f8b175d0841b
cowork-deal-room is a skill published in the GitHub repository OneWave-AI/claude-skills (291 stars, last pushed 1mo ago), licensed MIT. It adds 41 tokens to every session and 1,082 once invoked, about $0.0002 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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