Sensitivity Charts

v1.0.0

Visualize how changes in variables affect outcomes. Use for risk analysis and decision support.

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Install

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Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Sensitivity Charts" (linuszz/sensitivity-charts) from ClawHub.
Skill page: https://clawhub.ai/linuszz/sensitivity-charts
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

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openclaw skills install sensitivity-charts

ClawHub CLI

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npx clawhub@latest install sensitivity-charts
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high confidence
Purpose & Capability
Name and description (sensitivity/tornado charts, risk analysis) match the SKILL.md content. There are no unrelated environment variables, binaries, or installs requested.
Instruction Scope
The runtime instructions are high-level templates (e.g., 'Perform sensitivity analysis for $ARGUMENTS') and example tables/outputs. They do not instruct reading files, env vars, or contacting external endpoints, but they are intentionally vague and rely on runtime inputs/context.
Install Mechanism
No install spec and no code files — the skill is instruction-only, so nothing is written to disk or downloaded during install.
Credentials
No environment variables, credentials, or config paths are required; requested access is minimal and proportional to the stated purpose.
Persistence & Privilege
always is false and there is no indication the skill requests permanent presence or modifies other skills or system-wide settings.
Assessment
This skill is a benign, template-based helper for performing sensitivity/tornado analyses and does not request credentials or install code. Before using it, (1) provide explicit, non-sensitive inputs (variables, base case, ranges) so results are reproducible; (2) verify any numeric assumptions and ranges the agent uses; (3) avoid feeding sensitive business secrets into the agent if you are concerned about downstream logging or storage by the platform; and (4) if you want automation to read files or external data, prefer creating a narrow, purpose-specific connector rather than letting the agent infer data sources from vague prompts.

Like a lobster shell, security has layers — review code before you run it.

latestvk97bpc18ye949rccbnee2nm7yn83a8nk
148downloads
0stars
1versions
Updated 1mo ago
v1.0.0
MIT-0

Sensitivity Charts

Metadata

  • Name: sensitivity-charts
  • Description: Sensitivity analysis and tornado charts
  • Triggers: sensitivity, tornado chart, what-if, variable impact

Instructions

Perform sensitivity analysis for $ARGUMENTS.

Framework

Tornado Chart

         Base Case: $100M
              │
    ┌─────────┼─────────┐
    │    +$20M│         │-$10M  Price
    ├─────────┼─────────┤
    │   +$15M │         │-$8M   Volume
    ├─────────┼─────────┤
    │    +$8M │         │-$12M  Cost
    ├─────────┼─────────┤
    │    +$5M │         │-$3M   Mix
    └─────────┼─────────┘
              │
              ▼

Variables to Test

VariableRangeImpact
Price±10%High
Volume±20%High
Cost±15%Medium
Mix±5%Low

Output

## Sensitivity Analysis: [Decision/Project]

### Variable Impact Ranking

| Variable | Base | Low Case | High Case | Impact |
|----------|------|----------|-----------|--------|
| Price | $100 | $85 (-15%) | $115 (+15%) | $30M |
| Volume | 1M | 800K | 1.2M | $25M |
| Cost | $50 | $45 | $55 | $20M |
| Mix | 50/50 | 40/60 | 60/40 | $10M |

### Scenario Analysis

| Scenario | NPV | Probability | Expected Value |
|----------|-----|-------------|----------------|
| Base Case | $100M | 50% | $50M |
| Optimistic | $150M | 20% | $30M |
| Pessimistic | $60M | 30% | $18M |
| **Expected** | | | **$98M** |

### Key Findings

1. **Most sensitive**: Price (±$30M impact)
2. **Least sensitive**: Mix (±$10M impact)
3. **Breakeven**: [Analysis]

### Risk Mitigation

1. [Mitigation for most sensitive variable]
2. [Mitigation for second most sensitive]

Tips

  • Focus on top 5-7 variables
  • Use realistic ranges
  • Show both upside and downside

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