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 skills add cass-2003/local-workflow-skill --skill scenario-war-roomgit clone --depth 1 https://github.com/cass-2003/local-workflow-skillWrote 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/cass-2003/local-workflow-skill/scenario-war-room)<a href="https://agentmods.dev/skills/cass-2003/local-workflow-skill/scenario-war-room"><img src="https://agentmods.dev/badge/skills/cass-2003/local-workflow-skill/scenario-war-room/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.
<a href="https://agentmods.dev/skills/cass-2003/local-workflow-skill/scenario-war-room"><img src="https://agentmods.dev/badge/skills/cass-2003/local-workflow-skill/scenario-war-room.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00059 | $0.01892 |
| Opus 5 | $0.00030 | $0.00946 |
| Sonnet 5 | $0.00012 | $0.00378 |
| Haiku 4.5 | $0.00006 | $0.00189 |
Grade A, and why
scenario-war-room 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 7d 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 — 216 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Scenario War Room
Model cascading what-if scenarios across all business functions. Not single-assumption stress tests — compound adversity that shows how one problem creates the next.
Keywords
scenario planning, war room, what-if analysis, risk modeling, cascading effects, compound risk, adversity planning, contingency planning, stress test, crisis planning, multi-variable scenario, pre-mortem
Quick Start
python scripts/scenario_modeler.py # Interactive scenario builder with cascade modeling
Or describe the scenario in natural language:
"What if we lose our top customer AND miss the Q3 fundraise?" "What if 3 engineers quit AND we need to ship by Q3?" "What if our market shrinks 30% AND a competitor raises $50M?"
What This Is Not
- Not a single-assumption stress test (that's
/em:stress-test) - Not financial modeling only — every function gets modeled
- Not worst-case-only — models 3 severity levels
- Not paralysis by analysis — outputs concrete hedges and triggers
Framework: 6-Step Cascade Model
Step 1: Define Scenario Variables (max 3)
State each variable with:
- What changes — specific, quantified if possible
- Probability — your best estimate
- Timeline — when it hits
Variable A: Top customer (28% ARR) gives 60-day termination notice
Probability: 15% | Timeline: Within 90 days
Variable B: Series A fundraise delayed 6 months beyond target close
Probability: 25% | Timeline: Q3
Variable C: Lead engineer resigns
Probability: 20% | Timeline: Unknown
Step 2: Domain Impact Mapping
For each variable, each relevant role models impact:
| Domain | Owner | Models |
|---|---|---|
| Cash & runway | CFO | Burn impact, runway change, bridge options |
| Revenue | CRO | ARR gap, churn cascade risk, pipeline |
| Product | CPO | Roadmap impact, PMF risk |
| Engineering | CTO | Velocity impact, key person risk |
| People | CHRO | Attrition cascade, hiring freeze implications |
| Operations | COO | Capacity, OKR impact, process risk |
| Security | CISO | Compliance timeline risk |
| Market | CMO | CAC impact, competitive exposure |
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 7d ago First seen · 216 lines · 59 tokens per session scan A 21087daa440e
scenario-war-room is a skill published in the GitHub repository cass-2003/local-workflow-skill (12 stars, last pushed 2mo ago), licensed MIT. It adds 59 tokens to every session and 1,892 once invoked, about $0.0003 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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