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-data-room-buildergit 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-data-room-builder)<a href="https://agentmods.dev/skills/onewave-ai/claude-skills/cowork-data-room-builder"><img src="https://agentmods.dev/badge/skills/onewave-ai/claude-skills/cowork-data-room-builder/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-data-room-builder"><img src="https://agentmods.dev/badge/skills/onewave-ai/claude-skills/cowork-data-room-builder.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 | $0.00065 | $0.00712 |
| Opus 5 | $0.00032 | $0.00356 |
| Sonnet 5 | $0.00013 | $0.00142 |
| Haiku 4.5 | $0.00006 | $0.00071 |
Grade A, and why
cowork-data-room-builder 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 — 35 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cowork Data Room Builder
Prepare a data room the way a banker's analyst does: know what the other side's diligence team will ask for before they ask, find it or flag it, and present it in the structure they expect. Inputs: the deal type (seed/Series A/growth round, acquisition, loan) and one or more folders of company documents.
Workflow
- Build the request list. Generate the diligence checklist for the stated deal type and stage: corporate records, cap table and securities, financials, material contracts, IP, employment, tax, insurance, litigation, and (for later stages) customer concentration and compliance. Present it for approval -- the user may know their acquirer's quirks.
- Sweep. Walk the provided folders and match every document to a checklist item. Classify each match
FINAL(executed/signed),DRAFT, orSTALE(superseded or older than the period requested). One file can satisfy multiple items. - Gap report. Output the checklist with status per item:
HAVE,HAVE-BUT-DRAFT,HAVE-BUT-STALE,MISSING. Rank the missing items by how early diligence will hit them (corporate formation docs and cap table before customer contracts). This report is the deliverable that saves the deal timeline. - Organize. On approval, build the data room folder structure (numbered top-level sections matching the checklist), copy -- never move -- documents in with clean names (
3.2-msa-acme-corp-executed-2025.pdf), and writeINDEX.mdmapping every checklist item to its file. - Red-flag pass. Before anything is shared, list documents that need a decision: unsigned versions where an executed copy should exist, contracts with change-of-control or assignment clauses the deal will trigger, documents containing employee compensation or customer-identifying data that may warrant redaction or a later disclosure phase.
Rules
- Copy, never move. The data room is a curated export; source folders stay untouched.
- Never place a draft where a final belongs without labeling it
DRAFTin the filename and index. - Never redact or exclude documents silently -- list redaction candidates and let counsel decide.
- The gap report states what was searched, so "MISSING" means "not in the provided folders," not "does not exist."
- Stage-appropriate depth: do not demand SOC 2 reports from a pre-seed company; do not omit them for a growth round.
- This is preparation support, not legal or securities advice. Frame judgment calls for counsel.
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 · 35 lines · 65 tokens per session scan A 7c85afc37df9
cowork-data-room-builder is a skill published in the GitHub repository OneWave-AI/claude-skills (291 stars, last pushed 1mo ago), licensed MIT. It adds 65 tokens to every session and 712 once invoked, about $0.0003 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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