agentmods.dev

scenario-analysis

scenario-analysis is a command for coding agents from ololand-ai/ololand-plugins. It costs 25 tokens per session (458 once invoked), scanned A, original, Apache-2.0.

A deal-scoped tool for testing how an investment case changes under downturns, market conditions, and strategic choices.

In plain words
What is it for?
Use it for recession, interest-rate, or sector-downturn stress tests; market simulations; and real-options valuation, which estimates the value of keeping strategic choices open.
Why use it?
It shows whether the deal still holds up when important assumptions change, instead of relying only on the base case.

Command

Part of the ololand-dd plugin — 22 skills, 52 commands, 3 agents shipped together

not rated 0 today A scan 25 tokens original Apache-2.0
View the source file 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.

agentmods
npx agentmods add commands/ololand-ai/ololand-plugins/scenario-analysis
Clone the repo
git clone --depth 1 https://github.com/ololand-ai/ololand-plugins

Or install ololand-dd, the plugin that ships this one along with the rest of its 22 skills, 52 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 scenario-analysis

README.md
[![agentmods](https://agentmods.dev/badge/commands/ololand-ai/ololand-plugins/scenario-analysis.svg)](https://agentmods.dev/commands/ololand-ai/ololand-plugins/scenario-analysis)
Your own site
<a href="https://agentmods.dev/commands/ololand-ai/ololand-plugins/scenario-analysis"><img src="https://agentmods.dev/badge/commands/ololand-ai/ololand-plugins/scenario-analysis.svg" alt="Measured on agentmods" height="20"></a>
Per session 25 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 458 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00025 $0.00458
Opus 5 $0.00013 $0.00229
Sonnet 5 $0.00005 $0.00092
Haiku 4.5 $0.00003 $0.00046

Measured 4d ago against content hash 11bcd95b67ed, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

scenario-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 4d 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/commands/scenario-analysis.md · 42 lines

What it actually says

Scenario Analysis

Use OloLand's deterministic scenario workbench to stress the underwriting case and value strategic flexibility.

Usage

/scenario-analysis <deal_id> [stress|market|real-options|all]

Arguments

  • deal_id (required) - The deal to analyze.
  • mode (optional) - stress, market, real-options, or all. Default: stress.

Execution

  1. For stress or all, call run_scenario_stress_test(deal_id). Default scenario types are recession, rate spike, and sector downturn unless the user provides a list. Pass severity and base_params if supplied.
  2. For market or all, call simulate_market_conditions. Required inputs are current_rate, mean_rate, and volatility; ask for them if missing. Use years, n_scenarios, and seed only when supplied or clearly requested.
  3. For real-options or all, call value_real_options(deal_id, options). Ask the user for the options list if it is missing; do not invent expansion, abandonment, or deferral options without labeling them as illustrative.
  4. Use returned view_url values for web app handoff.

Output

Render:

  • Stress-test results - base case vs downside cases, EBITDA/covenant/IRR impact, breakpoints.
  • Market simulation - distribution, P10/P50/P90 outputs, and most sensitive inputs.
  • Real options - option type, value, assumptions, exercise trigger, and strategic implication.
  • Decision implication - bid adjustment, covenant ask, data-room ask, or no-action conclusion.

Output URL Conventions

Use the tool-returned view_url. Canonical surfaces:

  • Scenario workbench: https://app.ololand.ai/deals/{deal_id}/valuation/scenarios
  • Real options: https://app.ololand.ai/deals/{deal_id}/valuation/real-options
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. 4d ago First seen · 42 lines · 25 tokens per session scan A 11bcd95b67ed

Subscribe to this mod's changes

scenario-analysis is a command published in the GitHub repository ololand-ai/ololand-plugins (0 stars, last pushed today), licensed Apache-2.0. It adds 25 tokens to every session and 458 once invoked, about $0.0001 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 2026-08-31.

Analytics and metricsFinance and fintech
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