A due-diligence toolkit for evaluating companies and potential investments. Due diligence is the structured checking of a business’s finances, risks, documents, assumptions, and deal conditions before approval.

Use it for company and deal analysis, financial models such as DCF and LBO, risk reviews, quality-of-earnings checks, document reconciliation, scenario analysis, investment-committee packages, and audit records.

Investment reviews often involve large amounts of conflicting financial and business information. This add-on provides analytical, review, simulation, audit, and workflow capabilities for that process.

ololand-dd — Plugin for Claude Code by ololand-ai/ololand-plugins

Install

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.

Clone the repo

git clone --depth 1 https://github.com/ololand-ai/ololand-plugins

Made for: Claude Code.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/plugins/ololand-ai/ololand-plugins/ololand-dd/github.svg)](https://agentmods.dev/plugins/ololand-ai/ololand-plugins/ololand-dd)

Your own site

<a href="https://agentmods.dev/plugins/ololand-ai/ololand-plugins/ololand-dd"><img src="https://agentmods.dev/badge/plugins/ololand-ai/ololand-plugins/ololand-dd/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.

Your own site · 80×15

<a href="https://agentmods.dev/plugins/ololand-ai/ololand-plugins/ololand-dd"><img src="https://agentmods.dev/badge/plugins/ololand-ai/ololand-plugins/ololand-dd.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session not measured What this adds to a session before it is invoked.

When invoked not measured The manifest loads nothing itself; its 22 skills, 54 commands, 3 agents cost 3,774 tokens a session between them.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Security

Grade A, and why

ololand-dd 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 2d 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.

plugins/ololand-dd/.claude-plugin/plugin.json · 25 lines

What it actually says

{
  "name": "ololand-dd",
  "version": "1.27.0",
  "description": "Institutional due diligence for Claude — deterministic DCF / LBO / Monte Carlo / Real Options engines, 311-factor risk taxonomy (67 diligence categories) with SaaS / healthcare / real-estate / industrial overlays, forensic QoE primitives, cross-document reconciliation (CPA > tax > management > AI), MaskablePPO war-game simulation, assumption controls that gate IC approval, analytical workbench tools for QoE/compliance/scenarios/earnings, value-impact ledger reads, deal-health actions, workbooks with template-driven population, acquisition-financing prep (deterministic analysis, provider-sourcing prep, lender pre-reads), company discovery, watchlists, IC-package lifecycle dispatch, advisory requests, external-artifact grading (the Cowork adoption funnel) and cross-document conflict detection, verified forensic screen marketplace support, and a regulator-grade audit trail with replay and compliance-framework exports. Three sub-agents (dd-analyst, forensic-screener, war-game-strategist) plus a flywheel that retrains from analyst corrections. Counter-positions Anthropic's native private-equity plugin.",
  "author": {
    "name": "OloLand",
    "email": "[email protected]",
    "url": "https://ololand.ai"
  },
  "homepage": "https://ololand.ai",
  "repository": "https://github.com/ololand-ai/ololand-plugins",
  "license": "Apache-2.0",
  "keywords": [
    "finance",
    "private-equity",
    "due-diligence",
    "m-and-a",
    "valuation",
    "lbo",
    "dcf",
    "risk-analysis",
    "forensic-qoe"
  ]
}

Contents

What it installs

The manifest is a name and a version. 22 skills, 54 commands, 3 agents travel with it, and installing the plugin installs all of them — 3,774 tokens a session between them. Each is measured on its own page, and each can be installed alone.

Changes

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.

2d ago Changed d914bb0be207
11d ago Changed 26ebce218623
16d ago Changed 799ee9bbf625
21d ago Changed 3cd063d32adf
29d ago Changed de479a4e2f99
1mo ago First seen · 25 lines scan A 8b6924edf27f

Subscribe to this mod's changes

ololand-dd is a plugin published in the GitHub repository ololand-ai/ololand-plugins (0 stars, last pushed 3d ago), licensed Apache-2.0. Its token cost is not measured: this kind of file is read by the harness, not the model. 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 2026-08-31.

Finance and fintech

ololand-dd

Getting it into your agent

Wrote this? Show the measurements

Grade A, and why

Nothing flagged

What it actually says

What it installs

What this file has done since we first saw it

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