risk-analysis

risk-analysis is a skill for Claude Code from ololand-ai/ololand-plugins. It costs 48 tokens per session (754 once invoked), scanned A, original, Apache-2.0.

A structured framework for finding and rating risks in mergers and acquisitions. It covers commercial, financial, legal, operational, and people-related risks, including how each could affect the deal financially.

In plain words
What is it for?
Use it to review a target company, build a risk matrix, assess risk severity, and estimate possible financial consequences. It is also useful for checking industry-specific issues in software, manufacturing, and healthcare deals.
Why use it?
It turns a broad risk review into a consistent checklist, so important issues are less likely to be missed and risks are not left as vague narrative warnings.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the ololand-dd plugin — 22 skills, 54 commands, 3 agents shipped together

Good fit Use it to review a target company, build a risk matrix, assess risk severity, and estimate possible financial consequences. It is also useful for checking industry-specific issues in software, manufacturing, and healthcare deals.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ololand-ai/ololand-plugins/risk-analysis
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.

Any agent
npx skills add ololand-ai/ololand-plugins --skill risk-analysis
Clone the repo
git clone --depth 1 https://github.com/ololand-ai/ololand-plugins

Made for: Claude Code.

Or install ololand-dd, the plugin that ships this one along with the rest of its 22 skills, 54 commands, 3 agents.

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.

agentmods badge for risk-analysis

README.md
[![agentmods](https://agentmods.dev/badge/skills/ololand-ai/ololand-plugins/risk-analysis/github.svg)](https://agentmods.dev/skills/ololand-ai/ololand-plugins/risk-analysis)
Your own site
<a href="https://agentmods.dev/skills/ololand-ai/ololand-plugins/risk-analysis"><img src="https://agentmods.dev/badge/skills/ololand-ai/ololand-plugins/risk-analysis/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.

agentmods 80×15 button for risk-analysis

Your own site · 80×15
<a href="https://agentmods.dev/skills/ololand-ai/ololand-plugins/risk-analysis"><img src="https://agentmods.dev/badge/skills/ololand-ai/ololand-plugins/risk-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 754 The whole file, excluding the scripts and references it only reads on demand.
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.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00048 $0.00754
Opus 5.5 $0.00019 $0.00302
Sonnet 5.5 $0.00010 $0.00151
Haiku 4.5 $0.00005 $0.00075

Measured 17d ago against content hash 46b395bd84e8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

risk-analysis 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 17d 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/skills/risk-analysis/SKILL.md · 55 lines

How it starts

The opening of the file, as written. The whole thing — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Risk Analysis Framework

Risk Taxonomy: 311 Risk Factors Across 67 Categories

Commercial Risks

Market position, competitive dynamics, customer concentration (top 10 revenue share), revenue sustainability (recurring vs one-time), pricing power, channel dependency, regulatory exposure, supply chain, geographic concentration.

Industry overlays:

  • SaaS: NDR decay, CAC payback, cohort economics, deferred revenue cliff, professional services dependency
  • Manufacturing: LIFO liquidation, deferred maintenance, bill-and-hold, obsolete inventory
  • Healthcare: Reimbursement dependency, regulatory risk, M&A integration complexity

Financial Risks

Liquidity (current ratio, quick ratio), debt capacity (leverage, coverage), profitability (margin trends, quality), revenue quality (recognition policy, deferrals), working capital (DSO/DIO/DPO trends), off-balance-sheet items.

Legal Risks

Contract enforceability, change-of-control provisions, IP ownership, pending/threatened litigation, compliance (FCPA, GDPR, SOX), environmental liability, employee agreements.

HR Risks

Key person dependency, management depth, retention risk (turnover trends), compensation benchmarking, cultural integration, union exposure, pending employment claims.

Technology Risks

Architecture (monolith vs microservices), technical debt, security posture, scalability constraints, platform dependency, open-source licensing, data privacy compliance.

Forensic Quality of Earnings

When evaluating financial risks, apply these deterministic tests:

  1. Beneish M-Score (8-variable model): DSRI, GMI, AQI, SGI, DEPI, SGAI, TATA, LVGI. Score below -1.78 = likely manipulation.
  2. Benford's Law: First-digit conformity review on suitable transaction data. Preserve signed amounts: the standalone tool uses absolute magnitude for negatives and ignores zero/unusable values. Report only returned sample size, status, distributions, chi-square, MAD, and conformity; the current standalone response supplies no p-value or account/transaction rankings. An insufficient sample is a gap. Deviations prompt investigation, not proof of fraud; conformity does not rule fraud out.
  3. EBITDA Bridge: Verify every add-back. Non-recurring items must be truly non-recurring.
  4. Revenue Quality Deep Dive: Recognition timing, bill-and-hold, channel stuffing indicators.

Read the full file on GitHub · 55 lines

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.

  1. 17d ago Changed 46b395bd84e8
  2. 1mo ago First seen · 55 lines · 48 tokens per session scan A 08048d11d479

Subscribe to this mod's changes

risk-analysis is a skill published in the GitHub repository ololand-ai/ololand-plugins (0 stars, last pushed 3d ago), licensed Apache-2.0. It adds 48 tokens to every session and 754 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-03.

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