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 guia-matthieu/clawfu-skills --skill forecast-scenariosgit clone --depth 1 https://github.com/guia-matthieu/clawfu-skillsWrote 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/guia-matthieu/clawfu-skills/forecast-scenarios)<a href="https://agentmods.dev/skills/guia-matthieu/clawfu-skills/forecast-scenarios"><img src="https://agentmods.dev/badge/skills/guia-matthieu/clawfu-skills/forecast-scenarios/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/guia-matthieu/clawfu-skills/forecast-scenarios"><img src="https://agentmods.dev/badge/skills/guia-matthieu/clawfu-skills/forecast-scenarios.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 | $0.00054 | $0.03686 |
| Opus 5 | $0.00027 | $0.01843 |
| Sonnet 5 | $0.00011 | $0.00737 |
| Haiku 4.5 | $0.00005 | $0.00369 |
Grade A, and why
forecast-scenarios 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.
How it starts
The opening of the file, as written. The whole thing — 544 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Forecast Scenario Modeling
Create multiple revenue scenarios with variable assumptions to support strategic planning, board presentations, and risk management.
When to Use This Skill
- Annual and quarterly planning
- Board meeting preparations
- Fundraising projections
- Risk assessment and contingency planning
- Evaluating strategic initiatives
Methodology Foundation
Based on McKinsey Scenario Planning and FP&A best practices, combining:
- Base/Bull/Bear case modeling
- Sensitivity analysis (variable impact)
- Monte Carlo probability distributions
- Driver-based forecasting
What Claude Does vs What You Decide
| Claude Does | You Decide |
|---|---|
| Structures scenario framework | Assumption values |
| Calculates scenario outcomes | Which scenario to plan for |
| Identifies key sensitivities | Risk tolerance levels |
| Models variable impacts | Strategic responses |
| Presents range of outcomes | Final forecast commitment |
What This Skill Does
- Scenario definition - Base, upside, downside cases
- Variable modeling - Test impact of changing assumptions
- Sensitivity analysis - Which variables matter most
- Probability weighting - Expected value calculations
- Action planning - What to do in each scenario
How to Use
Model revenue scenarios for [Period]:
Current Status:
- YTD Revenue: $X
- Current Pipeline: $X
- Run Rate: $X/month
Key Variables to Model:
- Win rate: [Current: X%, Range: X-X%]
- Average deal size: [Current: $X, Range: $X-$X]
- Sales cycle: [Current: X days, Range: X-X]
- New pipeline creation: [Current: $X/month]
- Churn rate: [Current: X%]
Create best, likely, and worst case scenarios.
Instructions
Step 1: Define Scenario Framework
| Scenario | Definition | Probability |
|---|---|---|
| Best Case (Bull) | Everything goes right | 15-20% |
| Likely Case (Base) | Realistic expectations | 50-60% |
| Worst Case (Bear) | Major headwinds | 20-25% |
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 · 544 lines · 54 tokens per session scan A 96509cc8bdd9
forecast-scenarios is a skill published in the GitHub repository guia-matthieu/clawfu-skills (149 stars, last pushed 5mo ago), licensed MIT. It adds 54 tokens to every session and 3,686 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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