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 agentmods add skills/ololand-ai/ololand-plugins/risk-analysisnpx skills add ololand-ai/ololand-plugins --skill risk-analysisgit clone --depth 1 https://github.com/ololand-ai/ololand-pluginsWrote 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/ololand-ai/ololand-plugins/risk-analysis)<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="Measured on agentmods" 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 | $0.00048 | $0.00690 |
| Opus 5 | $0.00024 | $0.00345 |
| Sonnet 5 | $0.00010 | $0.00138 |
| Haiku 4.5 | $0.00005 | $0.00069 |
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 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.
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:
- Beneish M-Score (8-variable model): DSRI, GMI, AQI, SGI, DEPI, SGAI, TATA, LVGI. Score below -1.78 = likely manipulation.
- Benford's Law: First-digit distribution test on transaction data. Chi-square goodness-of-fit. Deviations signal potential fraud.
- EBITDA Bridge: Verify every add-back. Non-recurring items must be truly non-recurring.
- Revenue Quality Deep Dive: Recognition timing, bill-and-hold, channel stuffing indicators.
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 First seen · 55 lines · 48 tokens per session scan A 08048d11d479
risk-analysis is a skill published in the GitHub repository ololand-ai/ololand-plugins (0 stars, last pushed yesterday), licensed Apache-2.0. It adds 48 tokens to every session and 690 once invoked, about $0.0002 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 2026-09-03.
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