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Ros Rms Analysis

v1.0.0

Analyze relationship between profitability and market share. Use for competitive advantage assessment, scale economies analysis, and strategy validation.

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Purpose & Capability
Name and description (ROS vs RMS analysis for competitive advantage and scale economies) align with the instructions and expected inputs (revenues, profits, market share, benchmarking, visualizations). No unexpected binaries, installs, or credentials are requested.
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Instruction Scope
The SKILL.md stays within the declared purpose (collect financial and market-share data, compute ROS and RMS, produce charts and interpretation). However it contains an internal analytical contradiction: the 'Economies of Scale Logic' says larger RMS should lead to higher ROS, but the 'Regression Line' is written as 'ROS = a × (1/RMS) + b' and then says 'if a is significant and positive → Strong economies of scale' — a positive 'a' in that formula implies ROS increases as 1/RMS increases (i.e., as RMS decreases), which is the opposite of the stated logic. There are also minor formatting/placeholder issues (duplicate 'Position' column header, many placeholders) and no guidance on acceptable data sources, data quality checks, or privacy/legal constraints when gathering competitor data.
Install Mechanism
Instruction-only skill with no install spec and no code files — lowest install risk. Nothing will be written to disk by an installer.
Credentials
Requires no environment variables, credentials, or config paths — no disproportionate secret or system access requested.
Persistence & Privilege
Skill is not marked always:true and does not request persistent system presence or modification of other skills; autonomous invocation defaults are unchanged (normal).
What to consider before installing
This skill appears to do what it says (ROS vs RMS analysis) and doesn't request credentials, but its instructions contain a clear analytic contradiction: the regression formula (ROS = a × (1/RMS) + b) and the interpretation of a positive 'a' contradict the earlier claim that higher RMS should produce higher ROS. Before using or automating this skill: 1) Fix the regression specification (likely want ROS = a × RMS + b or ROS = a × log(RMS) + b) and confirm the statistical interpretation with an analyst. 2) Clarify expected data sources, required data quality checks, and legal/privacy requirements for collecting competitor data. 3) Replace placeholders in the output template and correct formatting issues. If you need high-assurance outputs for strategy decisions, have a domain expert review the formulas and results rather than relying solely on this instruction-only skill.

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

latestvk9748bjwng6fq6ez0xjwsz3awh83bt5t
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1versions
Updated 4w ago
v1.0.0
MIT-0

ROS/RMS Analysis

Metadata

  • Name: ros-rms-analysis
  • Description: Return on Sales vs Relative Market Share analysis
  • Triggers: ROS, RMS, economies of scale, competitive advantage, profitability

Instructions

Analyze relationship between Return on Sales (ROS) and Relative Market Share (RMS) to identify competitive advantage from scale.

Framework

The ROS/RMS Equation

ROS = Operating Profit / Revenue
RMS = Our Market Share / Largest Competitor Market Share

Key Insight

If ROS > Industry Average AND RMS > 1 → Both superior profitability AND scale advantage = strong competitive position

Economies of Scale Logic:

  • Larger RMS → Should have lower costs → Higher ROS
  • Smaller RMS → Acceptable to have higher costs → Lower ROS

Chart Types

Scatter Plot - ROS on Y-axis, RMS on X-axis (log scale) Trend Line - Industry average ROS vs RMS Sector Chart - Multiple competitors positioned in quadrants

Output Process

  1. Define industry - Boundaries, products, geography
  2. Gather data - Revenue, profits, market shares
  3. Calculate metrics - ROS for all players, RMS for us
  4. Benchmark - Industry average ROS, competitive thresholds
  5. Create visualization - Scatter or sector chart
  6. Interpret results - Identify positioning and scale effects

Output Format

## ROS/RMS Analysis: [Industry/Company]

### Company Positioning

| Competitor | Revenue | Profit | ROS | RMS | Position | Scale | Position |
|------------|---------|--------|------|----------|---------|
| [Company A] | $X M | $Y M | Z% | 0.5 | Small | ❌ Cost disadvantage |
| [Company B] | $X M | $Y M | Z% | 1.2 | Medium | ❌ Cost disadvantage |
| [Company C] | $X M | $Y M | Z% | 0.8 | Large | ⚠️ Mixed |
| [Company D] | $X M | $Y M | Z% | 2.5 | Leader | ✅ Scale advantage |

### Trend Analysis

| Metric | Our Value | Industry Avg | Assessment |
|--------|-----------|-------------|------------|
| ROS | X% | Y% | 🟢 Below average |
| Market Share | Z% | - | 🟡 Losing share |
| Growth Rate | X% | Y% | 🟢 Below market |

---

### Economies of Scale Analysis

**Regression Line:** ROS = a × (1/RMS) + b
- If 'a' is significant and positive → Strong economies of scale
- If 'a' is insignificant → Weak or no scale economies

**Implications:**
1. **[Implication 1]** - [Analysis]
2. **[Implication 2]** - [Analysis]

### Strategic Recommendations

1. **[Recommendation 1]** - [Description]
2. **[Recommendation 2]** - [Description]
3. **[Recommendation 3]** - [Description]

Tips

  • Use multi-year averages for ROS (3-5 years)
  • RMS on log scale (1.0 = equal to leader, 0.5 = half)
  • Industry ROS varies by sector - don't assume universality
  • Look for outliers - they tell important stories
  • Consider market share trends - gaining share can compensate for lower ROS

## References

- Henderson, Bruce. *The Logic of Business Strategy*. 1979.
- Buzzell, Robert & Gale, Bradley. *Market Structure and Competitive Strategy*. 1981.

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