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.
git clone --depth 1 https://github.com/abinauv/business-consultingWrote 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/commands/abinauv/business-consulting/scenario-plan)<a href="https://agentmods.dev/commands/abinauv/business-consulting/scenario-plan"><img src="https://agentmods.dev/badge/commands/abinauv/business-consulting/scenario-plan/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/commands/abinauv/business-consulting/scenario-plan"><img src="https://agentmods.dev/badge/commands/abinauv/business-consulting/scenario-plan.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 | $0.00009 | $0.00474 |
| Opus 5 | $0.00005 | $0.00237 |
| Sonnet 5 | $0.00002 | $0.00095 |
| Haiku 4.5 | $0.00001 | $0.00047 |
Grade A, and why
scenario-plan 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 9d 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.
What it actually says
Scenario Planning
Develop strategic scenarios for $ARGUMENTS.
Instructions
1. Identify Key Uncertainties
- List the 5-7 most impactful uncertainties affecting the strategic question
- Rate each on two dimensions: Impact (H/M/L) and Uncertainty (H/M/L)
- Select the top 2 uncertainties with highest impact AND highest uncertainty — these become your scenario axes
2. Build 2x2 Scenario Matrix
Use the two critical uncertainties as axes to create 4 distinct scenarios:
| [Uncertainty 1: Outcome A] | [Uncertainty 1: Outcome B] | |
|---|---|---|
| [Uncertainty 2: Outcome A] | Scenario 1: [Name] | Scenario 2: [Name] |
| [Uncertainty 2: Outcome B] | Scenario 3: [Name] | Scenario 4: [Name] |
Give each scenario a memorable, descriptive name.
3. Develop Each Scenario
For each of the 4 scenarios, describe:
- Narrative: What does this world look like? (3-5 sentences)
- Key indicators: What signals would tell us this scenario is materializing?
- Impact on client: How does this scenario affect revenue, margins, competitive position?
- Probability estimate: Likelihood of this scenario (all four should roughly sum to 100%)
4. Strategy Stress-Test
For the client's current strategy (or proposed strategy):
- How does it perform in each scenario?
- In which scenarios does it succeed? Fail?
- What are the key vulnerabilities?
5. Robust Actions
Identify:
- No-regret moves: Actions that create value in ALL scenarios
- Options/hedges: Actions that preserve flexibility to pivot
- Big bets: Actions that pay off hugely in one scenario but may fail in others
6. Monitoring Dashboard
- For each scenario, define 3-5 leading indicators to watch
- Define trigger points: "If [indicator] reaches [threshold], activate [contingency plan]"
- Review frequency recommendation
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.
- 9d ago First seen · 50 lines · 9 tokens per session scan A 110c2d74e853
scenario-plan is a command published in the GitHub repository abinauv/business-consulting (28 stars, last pushed 6mo ago), licensed MIT. It adds 9 tokens to every session and 474 once invoked, about $0.0000 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 2026-08-30.
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