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 KirKruglov/claude-skills-kit --skill data-room-prep-checklistgit clone --depth 1 https://github.com/KirKruglov/claude-skills-kitWrote 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/kirkruglov/claude-skills-kit/data-room-prep-checklist)<a href="https://agentmods.dev/skills/kirkruglov/claude-skills-kit/data-room-prep-checklist"><img src="https://agentmods.dev/badge/skills/kirkruglov/claude-skills-kit/data-room-prep-checklist/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/kirkruglov/claude-skills-kit/data-room-prep-checklist"><img src="https://agentmods.dev/badge/skills/kirkruglov/claude-skills-kit/data-room-prep-checklist.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 | $0.00067 | $0.02528 |
| Opus 5 | $0.00034 | $0.01264 |
| Sonnet 5 | $0.00013 | $0.00506 |
| Haiku 4.5 | $0.00007 | $0.00253 |
Grade A, and why
data-room-prep-checklist 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 — 197 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Data Room Prep Checklist
This skill generates a targeted due-diligence preparation package for founders raising a pre-seed, seed, or Series A round. Provide your round stage and business model — receive a prioritized checklist, a recommended folder structure, and a gap list of what's likely missing and what investors will ask next. No CRM or integrations required; works entirely from pasted context.
Input:
- Round stage (pre-seed / seed / Series A / Series B+)
- Business model type (SaaS / marketplace / hardware / services / other)
- Optional: investor type (VC / angel / strategic / family office); pasted existing data room contents
Output:
- Single markdown document with three sections: Due Diligence Checklist, Recommended Folder Structure, Gap List
Language Detection
Detect the user's language from their message:
- If Russian (or contains Cyrillic): respond in Russian
- If English (or other Latin-script language): respond in English
- If ambiguous: respond in the language of the trigger phrase used
Instructions
Step 1: Parse Round Context
-
Check if the message contains any business context (company description, product, industry, stage, model, or funding goal). If the message contains ONLY a trigger phrase with no additional context whatsoever, respond immediately: "Укажи стадию раунда и тип бизнеса, чтобы я собрал адресный чек-лист. / Share your round stage and business model so I can generate a targeted checklist." Do not proceed to generate a checklist.
-
Read the user's message for round stage and business model:
- Accepted stages: pre-seed, seed, Series A, Series B+
- Accepted models: SaaS, marketplace, hardware / deep-tech, services, e-commerce, other
- If stage is missing: default to seed-level checklist; prepend bilingual note: "Stage not specified — using seed-level defaults. / Стадия не указана — используется шаблон seed."
- If business model is missing: default to SaaS; prepend note: "Business model not specified — using SaaS defaults."
What ships with it
4 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.
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 · 197 lines · 67 tokens per session scan A 7c8b961567de
data-room-prep-checklist is a skill published in the GitHub repository KirKruglov/claude-skills-kit (18 stars, last pushed 1mo ago), licensed MIT. It adds 67 tokens to every session and 2,528 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.
Other skills, from other repositories
financial-expert
A financial research skill for China and Hong Kong securities, funds, company finances, economic indicators, research reports, announcements, news, and business-risk data. It returns data and neutral analysis rather than placing trades or recommending investments.
fsi-comps-analysis
Build institutional-grade comparable company analyses with operating metrics, valuation multiples, and statistical benchmarking in Excel/spreadsheet format. Perfect for: Public company valuation (M&A, investment analysis) Benchmarking performance vs. industry peers Pricing IPOs or funding rounds Identifying valuation…
ma-due-diligence
ACTIVATE when evaluating acquisition targets, conducting M&A due diligence, planning integration strategy, analyzing synergies, preparing sale materials, assessing culture fit, valuing targets, creating merger checklists, or managing M&A transactions. Critical for executives involved in buy-side or sell-side M&A, from…
compensation-benchmarking
TRIGGER THIS when researching market salaries, building compensation strategies, creating salary bands, analyzing pay equity, conducting salary reviews, preparing compensation proposals, or ensuring competitive compensation. Analyzes market data, builds equity-focused salary structures, identifies pay gaps, and…
lbo-model
This skill should be used when completing LBO (Leveraged Buyout) model templates in Excel for private equity transactions, deal materials, or investment committee presentations. The skill fills in formulas, validates calculations, and ensures professional formatting standards that adapt to any template structure.
business-case-builder
Build business cases with cost-benefit analysis, ROI calculations, risk assessment, implementation timeline, and stakeholder analysis.