Agent skill

Due Diligence Dataroom

by LeoYeAI in LeoYeAI/openclaw-master-skills

Organize, audit, and generate investor or acquirer due diligence data rooms for startups and SMBs.

MITAuto-check passedBusiness, Finance & HR

Install Due Diligence Dataroom

skills CLI
$ npx skills add LeoYeAI/openclaw-master-skills --skill due-diligence-dataroom -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install LeoYeAI/openclaw-master-skills due-diligence-dataroom --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/due-diligence-dataroom .claude/skills/due-diligence-dataroom && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
due-diligence-dataroom
GitHub stars
2.2k
Token cost
~3.9k tokens
SKILL.md length
665 words
Files
2
Skills in repo
1,235
Repo updated
First seen
Licence
MIT

At a glance

Organize, audit, and generate investor or acquirer due diligence data rooms for startups and SMBs.

  • Works in 7 steps: Scope the DD Type → Intake Audit → Build Gap Report → …
  • Public-company SEC filings
  • SKILL.md covers When to Use This Skill, Data Room Structure, DD Readiness Scoring and Gap Analysis Output, plus 7 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Due Diligence Dataroom is an agent skill from LeoYeAI/openclaw-master-skills. Organize, audit, and generate investor or acquirer due diligence data rooms for startups and SMBs. Maps required documents by category (financial, legal, HR, technical, commercial), identifies gaps, generates checklists, drafts document summaries, and produces a readiness score. Supports both fundraising DD (Series A/B, SAFE rounds) and M&A DD (sell-side, buy-side). Outputs structured folder structure, gap report, and investor-ready index. NOT for: tax filing, bookkeeping, smart contract audits, or legal advice…

Its SKILL.md is about 3.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `_meta.json`).

It sits in Business, Finance & HR, covering Fundraising and pitch decks. It works with SEC EDGAR. The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.

When your agent uses it

  • Public-company SEC filings
  • Tasks that involve Fundraising and pitch decks

Example prompts

  • “/due-diligence-dataroom”

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. Scope the DD Type
  2. Intake Audit
  3. Build Gap Report
  4. Prioritize
  5. Draft Document Summaries
  6. Build the Data Room Index
  7. Final QA Pass

What it can do on your machine

Read from SKILL.md and the folder at commit e5199b5. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Due Diligence Dataroom loads about 3.9k tokens when it runs. Until then it costs about 160 tokens; SKILL.md has 665 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~160
When it runs · the whole SKILL.md, loaded when a task matches
~3.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its MIT licence (© LeoYeAI). 665 words, ~3,855 tokens.

Download SKILL.mdSave it as .claude/skills/due-diligence-dataroom/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
due-diligence-dataroom
description
Organize, audit, and generate investor or acquirer due diligence data rooms for startups and SMBs. Maps required documents by category (financial, legal, HR, technical, commercial), identifies gaps, generates checklists, drafts document summaries, and produces a readiness score. Supports both fundraising DD (Series A/B, SAFE rounds) and M&A DD (sell-side, buy-side). Outputs structured folder structure, gap report, and investor-ready index. NOT for: tax filing, bookkeeping, smart contract audits, or legal advice on documents flagged as risky (escalate those to counsel). Do not use for public-company SEC filings.
version
1.0.0
author
PrecisionLedger
tags
finance, startups, due-diligence, investors, m-and-a, legal, fundraising

Due Diligence Data Room Skill

Build investor-ready and acquirer-ready data rooms for fundraising (SAFE, priced rounds, Series A/B) and M&A (sell-side or buy-side). This skill guides Sam Ledger through organizing DD documents, identifying gaps, scoring readiness, and producing a clean data room index.


When to Use This Skill

Trigger phrases:

  • "Set up a data room"
  • "What do investors need for due diligence?"
  • "Prepare for Series A DD"
  • "What documents do we need for the M&A process?"
  • "Audit our data room"
  • "Create a DD checklist"
  • "We're getting acquired — what do they need?"
  • "Rate our due diligence readiness"

NOT for:

  • Tax filing or accounting — use QBO/compliance workflows
  • Smart contract security audits — use solidity-audit-precheck
  • Legal advice on specific clauses — refer to counsel
  • Ongoing contract management — use contract-review-agent
  • Cap table creation from scratch — use cap-table-manager
  • Financial model building — use startup-financial-model

Data Room Structure

Standard folder taxonomy used by institutional investors and M&A advisors:

/DataRoom
├── 01_Corporate
│   ├── Certificate of Incorporation (current + all amendments)
│   ├── Bylaws / Operating Agreement
│   ├── Board Resolutions (key actions last 3 years)
│   ├── Organizational Chart
│   └── Subsidiaries & Foreign Qualifications
│
├── 02_Financial
│   ├── Financial Statements (3 years audited or reviewed)
│   ├── Management Accounts (latest 12 months, monthly)
│   ├── Financial Model (base/bear/bull scenarios)
│   ├── Tax Returns (3 years federal + state)
│   ├── Accounts Receivable Aging
│   ├── Accounts Payable Aging
│   └── Bank Statements (6–12 months)
│
├── 03_Cap_Table
│   ├── Cap Table (fully diluted, current)
│   ├── Stock Option Plan (ISO/NSO plan document)
│   ├── Option Grants (individual grant summaries)
│   ├── SAFE Agreements (all outstanding)
│   ├── Convertible Notes (all outstanding)
│   ├── Investor Rights Agreement
│   ├── Right of First Refusal Agreement
│   └── 409A Valuation (most recent)
│
├── 04_Contracts_Commercial
│   ├── Customer Contracts (top 10 by revenue)
│   ├── Vendor/Supplier Agreements (key dependencies)
│   ├── Partnership Agreements
│   ├── Distribution Agreements
│   └── LOIs / MOUs (current)
│
├── 05_Intellectual_Property
│   ├── Patent Applications & Grants
│   ├── Trademark Registrations
│   ├── Copyright Registrations
│   ├── Trade Secret Policy
│   ├── IP Assignment Agreements (founders + employees)
│   └── Open Source Policy + License Inventory
│
├── 06_HR_People
│   ├── Employee List (names, titles, start dates, salaries)
│   ├── Offer Letters (key hires / executives)
│   ├── Employment Agreements (exec NDAs, non-competes)
│   ├── Contractor/1099 List + Agreements
│   ├── Benefits Summary Plan Document
│   ├── PEO/Payroll Provider Agreement
│   └── Org Chart (people version)
│
├── 07_Legal_Compliance
│   ├── Litigation History (pending, settled, threatened)
│   ├── Regulatory Licenses / Permits
│   ├── Privacy Policy + Terms of Service
│   ├── GDPR / CCPA Compliance Documentation
│   ├── Data Processing Agreements (key vendors)
│   └── Insurance Policies (D&O, E&O, Cyber, General Liability)
│
├── 08_Technical
│   ├── Architecture Diagram (system overview)
│   ├── Tech Stack Summary
│   ├── Security Audit Reports (penetration tests, SOC 2)
│   ├── Uptime / SLA History
│   ├── Disaster Recovery Plan
│   └── Data Handling / Privacy Architecture
│
└── 09_Business_Overview
    ├── Pitch Deck (current investor version)
    ├── Executive Summary / One-Pager
    ├── Product Roadmap
    ├── Customer References (top clients)
    └── Market Research / Competitive Analysis

DD Readiness Scoring

Score each category 0–100 based on document completeness:

CategoryWeightScoring Logic
Corporate10%All formation docs present, current, signed
Financial25%3yr statements + monthly actuals + model + bank stmts
Cap Table20%Fully diluted table + all agreements + 409A current
Commercial15%Top 10 customer contracts + key vendor agreements
IP15%Assignments from all founders/employees + IP inventory
HR/People10%Employee list + exec agreements + benefits docs
Legal10%Litigation disclosure + licenses + insurance
Technical5%Architecture + security + SLA history

Overall Readiness Score:

Score = Σ (Category Score × Category Weight)

Interpretation:
  90–100: Investor-ready. Proceed.
  75–89:  1–2 week gap closure. Flag gaps to founder.
  50–74:  2–4 weeks work. Significant gaps present.
  <50:    Not ready. Build foundational documents first.

Gap Analysis Output

When auditing an existing data room, produce a gap report in this format:

DUE DILIGENCE READINESS REPORT
Company: [Name]
Date: [Date]
Assessed by: Sam Ledger / PrecisionLedger

OVERALL SCORE: 72/100 — Needs 2–3 Weeks of Work

CATEGORY BREAKDOWN:
┌─────────────────────┬───────┬────────────────────────────────────────────────┐
│ Category            │ Score │ Missing / At Risk                              │
├─────────────────────┼───────┼────────────────────────────────────────────────┤
│ Corporate           │ 90%   │ Missing: Foreign qualification (Delaware co)   │
│ Financial           │ 65%   │ Missing: Audited statements, 409A outdated     │
│ Cap Table           │ 80%   │ Missing: 2 SAFE agreements not countersigned   │
│ Commercial          │ 70%   │ Missing: Contracts for 3 of top 10 customers   │
│ IP                  │ 55%   │ Missing: IP assignment from 1 co-founder       │
│ HR/People           │ 85%   │ Minor: Outdated offer letters for 2 eng hires  │
│ Legal               │ 90%   │ OK                                             │
│ Technical           │ 60%   │ Missing: Pen test report, no SLA documentation │
└─────────────────────┴───────┴────────────────────────────────────────────────┘

CRITICAL GAPS (will stall deal):
1. IP Assignment from co-founder [Name] — get signed before outreach
2. 409A valuation — expired 18+ months ago, investor will flag
3. Audited financials — Series A investors typically require 1 year audit minimum

HIGH PRIORITY (2-week fix):
4. SAFE countersignatures — pull originals, chase signatories
5. Missing customer contracts — get NDAs or MSAs on file

MEDIUM PRIORITY (can fix in parallel):
6. Foreign qualification certificate from Delaware
7. Pen test report — schedule if not done
8. Offer letter refresh for recent eng hires

RECOMMENDED NEXT STEPS:
Week 1: Resolve Critical Gaps (IP assignment, 409A, audited financials)
Week 2: High Priority items
Week 3: Full review + data room QA pass

Document Checklist by Round Type

SAFE / Pre-Seed Round (Minimal DD)
□ Certificate of Incorporation
□ Cap table (current, all SAFEs included)
□ Financial model or pitch deck financials
□ SAFE template to be signed
□ Founders' IP assignments
□ Bank statements (3 months)
Series A (Full Institutional DD)

All folders above, plus:

□ Audited financials (1 year minimum, 2 preferred)
□ Monthly management accounts (last 12 months)
□ 409A valuation (< 12 months old)
□ Board minutes for all major decisions
□ Fully diluted cap table (with option pool)
□ All outstanding convertible instruments (SAFEs, notes)
□ Customer contracts (top 10 by revenue)
□ IP assignments (all founders, key employees, contractors)
□ Employment agreements (all executives)
M&A Sell-Side

All Series A above, plus:

□ 3 years tax returns (federal + state)
□ Historical financial statements (3–5 years)
□ All material contracts (customer, vendor, partnership)
□ Litigation history (last 5 years, including settled)
□ Environmental compliance (if applicable)
□ Real property leases
□ Insurance policies with coverage limits
□ Employee benefit plan documents (401k, health)
□ Change of control provisions in key contracts
□ Government contracts or regulated agreements

Step-by-Step Workflow

Step 1: Scope the DD Type

Determine:

  • Type: Fundraising (which stage?) or M&A (sell-side or buy-side)?
  • Timeline: When is the investor/acquirer expecting access?
  • Audience: Who is reviewing? (VC, PE, strategic acquirer, family office?)
Step 2: Intake Audit

Ask the founder/CFO to share:

  • Existing data room link or folder structure
  • List of what's been prepared vs. not started
  • Any known legal issues (pending litigation, IP disputes)
  • Outstanding cap table instruments (unconverted SAFEs, notes)
Step 3: Build Gap Report

Map what exists against the master checklist above. Score each category. Flag critical gaps (deal-stoppers) vs. nice-to-haves.

Step 4: Prioritize

Sequence by:

  1. Deal-stoppers first (IP assignments, 409A, audited financials)
  2. Investor-specific asks (some VCs have custom checklists — get theirs)
  3. Everything else in parallel
Show full SKILL.md (268 more words)Show less
Step 5: Draft Document Summaries

For key documents, produce a 3-line summary:

  • What it is
  • What it says (key terms)
  • Any red flags or notes for investor
Step 6: Build the Data Room Index

Produce a master index document:

DATA ROOM INDEX — [Company Name]
Last Updated: [Date]

Section 1: Corporate
  1.1 Certificate of Incorporation (Delaware, 2022) ✓
  1.2 Certificate of Amendment — Series Seed (2024) ✓
  1.3 Bylaws (as amended 2024) ✓
  1.4 Board Resolutions — [Summary] ✓
  1.5 Foreign Qualification — California [MISSING]

Section 2: Financial
  2.1 2023 Audited Financial Statements ✓
  2.2 2024 Management Accounts (Jan–Dec) ✓
  2.3 2025 YTD Management Accounts ✓
  2.4 Financial Model (Base/Bear/Bull, 36 months) ✓
  2.5 2022–2024 Federal Tax Returns ✓
  2.6 AR Aging Report (as of [Date]) ✓
...
Step 7: Final QA Pass

Before opening data room access:

  • All files named consistently (no "final_FINAL_v3.pdf")
  • No personal employee info visible to all viewers (use sub-folders with tiered permissions)
  • Sensitive items (bank statements, SSNs) restricted to appropriate viewers
  • Index document is current and matches folder contents
  • Watermarks on sensitive docs if required

Example Interaction

User: "Our Series A investor wants data room access in 2 weeks. We've never set one up. Where do we start?"

Sam's response:

Two weeks is tight but doable if we move fast. Here's the triage plan:

FIRST 48 HOURS — Stop everything else, get these:

1. IP Assignments — every founder and early contractor must sign.
   This is the #1 deal-killer. I'll need: names of all founders,
   date company was incorporated, names of any early freelancers
   who touched the product.

2. Cap Table — send me whatever you have (spreadsheet, Carta export).
   I'll audit it and identify any missing countersignatures.

3. Financial Statements — do you have a CPA? If yes, request
   management-reviewed or compiled statements for 2023 + 2024.
   Full audit takes weeks — we'll flag the gap and provide reviewed.

THIS WEEK — Collect in parallel:
   □ All customer contracts (even just the signed MSAs/SOWs)
   □ Certificate of Incorporation + any amendments
   □ Board minutes (any major funding, equity, or officer decisions)
   □ Existing insurance policies (D&O is the critical one)

NEXT WEEK — Build + QA:
   □ I'll build the data room index and folder structure
   □ Financial model review and clean-up
   □ Full gap report for investor

What platform are you using for the data room? (Notion, Google Drive,
Carta Data Room, Caplinked, DocSend?) I'll tailor the structure.

Platform-Specific Notes

PlatformBest ForNotes
Google DriveEarly-stage, SAFE roundsEasy setup, permission by folder, familiar
Carta Data RoomSeries A+ with Carta cap tableNative integration, investor-friendly
NotionSmall rounds, internal prepGood for checklists, not ideal for investor DD
DocSendTracking investor engagementAnalytics on who views what, for hours
Caplinked / IntralinksM&A, larger roundsWatermarking, NDA-gating, enterprise features
Box / SharePointAcquirer-preferred in M&AEnterprise IT often requires these

Red Flags to Surface to Counsel

When auditing documents, flag these immediately — do not attempt to resolve without legal:

⚠️  Missing IP assignment from any co-founder or early employee
⚠️  Pending or threatened litigation not previously disclosed
⚠️  Customer contract with change-of-control clause (may block M&A)
⚠️  Government contract with anti-assignment provision
⚠️  Open-source license with copyleft (GPL) in commercial product
⚠️  Options granted below 409A fair market value (IRS issue)
⚠️  SAFE or note with full-ratchet anti-dilution (rare, toxic)
⚠️  Non-compete clauses in jurisdictions where they're unenforceable
⚠️  Data breach history not yet disclosed
⚠️  Expired regulatory license or lapsed compliance certification

Integration Points

  • startup-financial-model — generate or audit the financial model included in Section 02
  • cap-table-manager — build or reconcile the fully-diluted cap table for Section 03
  • contract-review-agent — summarize and flag key customer/vendor contracts for Section 04
  • kpi-alert-system — once funded, monitor key metrics investors will track post-close
  • report-generator — format the gap report into an investor-ready PDF memo

Reference: Series A Investor DD Checklist (Condensed)

FINANCIAL
□ 3 years financial statements (audited preferred, reviewed acceptable)
□ YTD management accounts (monthly, current)
□ 36-month financial model with assumptions
□ AR aging + top 10 customer concentration
□ Tax returns (2 years minimum)

LEGAL / CORPORATE
□ Certificate of Incorporation + all amendments
□ Bylaws (as amended)
□ Board minutes (major resolutions)
□ All equity/instrument agreements (SAFEs, notes, stock plan)
□ Fully diluted cap table
□ 409A valuation (< 12 months)

COMMERCIAL
□ Top 10 customer contracts
□ Key vendor/dependency agreements
□ Any exclusivity, MFN, or anti-assignment clauses flagged

PEOPLE
□ Employee census (name, title, start date, salary, equity)
□ Executive offer letters and employment agreements
□ Option grant ledger
□ Independent contractor agreements (key ones)

IP
□ IP assignment agreements (all founders, employees, contractors)
□ Patent / trademark filings
□ Open-source license inventory
□ Trade secret policy

TECHNICAL / SECURITY
□ System architecture overview
□ Security audit or pen test (< 18 months)
□ SOC 2 / ISO 27001 (if applicable)
□ Uptime / incident history

© LeoYeAI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in skills/due-diligence-dataroom of LeoYeAI/openclaw-master-skills.

  • SKILL.md
  • _meta.json

Open the folder on GitHubat commit e5199b5

Compare with similar skills

Due Diligence Dataroom next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Due Diligence Dataroom compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Due Diligence Dataroom this skillLeoYeAI/openclaw-master-skills2.2k—~3.9kAutomated safety check: PassMIT
Datapack Builderw95/awesome-claude-corporate-skills2441 repos~6kAutomated safety check: PassMIT
Global Stock Datasimonlin1212/global-stock-data1.7k—~19kAutomated safety check: PassApache-2.0
Fintoolsecond-state/fintool316—~5.9kAutomated safety check: PassNone
Virtuals Protocol AcpVirtual-Protocol/openclaw-acp1681 repos~6.4kAutomated safety check: PassNone
Yc Applypedronauck/skills634—~1.3kAutomated safety check: PassNone

Similar skills

  • Datapack Builder

    w95/awesome-claude-corporate-skills

    Build professional financial services data packs from various sources including CIMs, offering memorandums, SEC filings, web search, or MCP servers.

    244 GitHub starsUsed in 1 repo~6k tokens
    Business, Finance & HRAuto-check passed
  • Global Stock Data

    simonlin1212/global-stock-data

    美股港股全栈数据工具包(官方源优先)— 十三层架构·30+端点·11数据源·全部零鉴权。在原有行情/K线/技术指标(MA/MACD/RSI/KDJ/布林带)/基本面/资金面/期权/SEC Filing/工具八层之上,新增:CBOE官方期权链(完整希腊字母+IV+0DTE流+异动识别)、FINRA全市场每日空头成交量、SEC…

    1.7k GitHub stars~19k tokensUpdated today
    Business, Finance & HRAuto-check passed
  • Fintool

    second-state/fintool

    Financial trading CLIs — spot and perp trading on Hyperliquid, Binance, Coinbase, OKX.

    316 GitHub stars~5.9k tokensUpdated 4 mo ago
    Business, Finance & HRAuto-check passed
  • Virtuals Protocol Acp

    Virtual-Protocol/openclaw-acp

    Hire specialised agents to handle any task — data analysis, trading, content generation, research, on-chain operations, 3D printing, physical goods, gift delivery, and more.

    168 GitHub starsUsed in 1 repo~6.4k tokens
    Business, Finance & HRAuto-check passed
  • Yc Apply

    pedronauck/skills

    Prepare, review, and package Y Combinator application answers and founder-video notes using the live form and verified founder facts.

    634 GitHub stars~1.3k tokensUpdated 26 days ago
    Business, Finance & HRAuto-check passed
  • Storyline Builder

    sruthir28/enterprise-ai-skills

    McKinsey-style storyline framework for building presentation decks.

    148 GitHub starsUsed in 1 repo~1.9k tokens
    Business, Finance & HRAuto-check passed

More from LeoYeAI/openclaw-master-skills

All 1,200 skills in this repo
  • DevOps Pipeline Management

    LeoYeAI/openclaw-master-skills

    Manages pipelines on a DevOps quality and efficiency platform through its OpenAPI: list workspaces and templates, create, update, run and cancel pipelines, and read run records.

    2.2k GitHub stars~4.2k tokensUpdated 2 mo ago
    Auto-check: notes
  • Feishu Document Collaboration

    LeoYeAI/openclaw-master-skills

    Patches OpenClaw's Feishu extension so an edited document triggers an isolated agent session that reads the doc and replies inline, turning it into a live chat space.

    2.2k GitHub stars~2k tokensUpdated 2 mo ago
    Auto-check passed
  • Files Memory System

    LeoYeAI/openclaw-master-skills

    Multi-context memory management system for OpenClaw agents with group-isolated storage, global shared memory, workspace organization, and group-specific skills isolation.

    2.2k GitHub stars~3.8k tokensUpdated 2 mo ago
    Auto-check passed
  • GEO-Claw AI Visibility Agent

    LeoYeAI/openclaw-master-skills

    Runs a brand's AI-search visibility work end to end: diagnosing how AI platforms represent it, repositioning it, producing AI-optimized content and monitoring ongoing mentions.

    2.2k GitHub stars~4.7k tokensUpdated 2 mo ago
    Auto-check passed
  • Google Workspace CLI

    LeoYeAI/openclaw-master-skills

    Installs and authenticates the gws CLI, then automates Gmail, Drive, Sheets, Calendar, Docs, Chat and Tasks with ready-made recipes, persona bundles and security audits.

    2.2k GitHub stars~2.6k tokensUpdated 2 mo ago
    Auto-check: notes
  • HealthFit Health Advisors

    LeoYeAI/openclaw-master-skills

    Runs four advisor roles, a fitness coach, nutritionist, data analyst and TCM practitioner, to build a health profile and track workouts, diet and wellness over time.

    2.2k GitHub stars~4.4k tokensUpdated 2 mo ago
    Auto-check passed

Works with

Questions about Due Diligence Dataroom

What does Due Diligence Dataroom do?

Organize, audit, and generate investor or acquirer due diligence data rooms for startups and SMBs. Due Diligence Dataroom is an agent skill from LeoYeAI/openclaw-master-skills. Organize, audit, and generate investor or acquirer due diligence data rooms for startups and SMBs.

When should I use Due Diligence Dataroom?

Due Diligence Dataroom fits situations like: public-company SEC filings; tasks that involve Fundraising and pitch decks.

How do I install Due Diligence Dataroom in Claude Code?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill due-diligence-dataroom -a claude-code`. Or copy the skill folder (skills/due-diligence-dataroom in LeoYeAI/openclaw-master-skills) into .claude/skills/due-diligence-dataroom in your project. Claude Code loads it when a task matches its description.

How do I install Due Diligence Dataroom in Codex?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill due-diligence-dataroom -a codex`. Or copy the skill folder (skills/due-diligence-dataroom in LeoYeAI/openclaw-master-skills) into .agents/skills/due-diligence-dataroom in your project. Codex loads it when a task matches its description.

Can I use Due Diligence Dataroom in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add LeoYeAI/openclaw-master-skills --skill due-diligence-dataroom -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/due-diligence-dataroom, .gemini/skills/due-diligence-dataroom, .github/skills/due-diligence-dataroom and .opencode/skills/due-diligence-dataroom in your project.

What does Due Diligence Dataroom need to run?

SKILL.md names no scripts, command-line tools or credentials: Due Diligence Dataroom is instructions for the agent only.

Does Due Diligence Dataroom access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Due Diligence Dataroom safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Due Diligence Dataroom use?

Due Diligence Dataroom is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Due Diligence Dataroom use?

About 3.9k tokens (SKILL.md is roughly 15k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Due Diligence Dataroom?

Skills that share tags, products or a category with Due Diligence Dataroom: Datapack Builder (w95/awesome-claude-corporate-skills, 244 stars), Global Stock Data (simonlin1212/global-stock-data, 1.7k stars), Fintool (second-state/fintool, 316 stars) and Virtuals Protocol Acp (Virtual-Protocol/openclaw-acp, 168 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Due Diligence Dataroom?

LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,161 GitHub stars. The repository holds 1,235 skills in this directory. The repository was last updated on July 20, 2026.

Source: LeoYeAI/openclaw-master-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.