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SKILL verified MIT Self-run

Compensation Analysis

skill-latestaiagents-agent-skills-compensation-analysis · by latestaiagents

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Install

$ agentstack add skill-latestaiagents-agent-skills-compensation-analysis

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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5mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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How agent discovery & health will work →
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About

Compensation Analysis

Build fair, competitive compensation structures.

When to Use

  • Benchmarking salaries against market
  • Creating or updating salary bands
  • Analyzing pay equity
  • Planning compensation reviews
  • Building total rewards packages

Compensation Structure

Salary Band Framework

## Band Structure

| Level | Title Examples | Band Width | Typical Range |
|-------|---------------|------------|---------------|
| L1 | Associate, Junior | 20% | Entry level |
| L2 | Mid-level, Specialist | 25% | 2-4 years exp |
| L3 | Senior, Lead | 30% | 5-8 years exp |
| L4 | Staff, Principal | 35% | 8-12 years exp |
| L5 | Director, Senior Staff | 40% | 12+ years exp |

## Band Positioning

| Position | % of Midpoint | When to Use |
|----------|--------------|-------------|
| Below Min | 5% below expected pay
- >10% above expected pay
- Unexplained by legitimate factors

Pay Gap Metrics

## Raw Pay Gap
(Avg Male Salary - Avg Female Salary) / Avg Male Salary × 100

## Adjusted Pay Gap
Difference after controlling for:
- Job level
- Department
- Location
- Experience
- Performance

## Compa-Ratio
Individual Salary / Band Midpoint × 100

Target: 90-110%

Total Compensation Components

## Base Salary
- Fixed annual pay
- Typically 60-80% of total comp

## Variable Pay
### Bonus
- Target %: [X]% of base
- Performance multiplier: 0-200%
- Payout timing: Annual/Quarterly

### Commission (Sales)
- On-target earnings (OTE)
- Split: [X]% base / [X]% variable
- Accelerators above quota

## Equity
### Stock Options
- Grant value at hire
- Vesting: Typically 4 years, 1-year cliff
- Refresh grants

### RSUs
- Restricted Stock Units
- Same vesting as options
- Value = shares × stock price

## Benefits Value
- Health insurance: $[X]/year
- 401(k) match: [X]% up to $[X]
- Other benefits: $[X]/year

## Total Rewards Statement
Base Salary:        $XXX,XXX
Target Bonus:       $XX,XXX
Equity (annual):    $XX,XXX
Benefits:           $XX,XXX
Total Compensation: $XXX,XXX

Compensation Review Process

## Annual Review Cycle

### Timeline
| Month | Activity |
|-------|----------|
| Q3 | Budget planning, market data refresh |
| Q4 | Manager recommendations |
| Jan | Calibration sessions |
| Feb | Final approvals |
| Mar | Communication to employees |
| Apr | New compensation effective |

### Manager Worksheet
For each employee, consider:
1. Current compa-ratio
2. Performance rating
3. Time since last increase
4. Retention risk
5. Market movement
6. Budget constraints

### Calibration Questions
- Are increases proportional to performance?
- Are there pay equity concerns?
- Are high performers above midpoint?
- Are retention risks addressed?

Geographic Pay Differentials

## Location-Based Adjustments

| Tier | Example Locations | % of Base |
|------|-------------------|-----------|
| Tier 1 | SF, NYC, Seattle | 100% |
| Tier 2 | LA, Boston, Denver | 90-95% |
| Tier 3 | Austin, Chicago, Atlanta | 85-90% |
| Tier 4 | Other metro areas | 80-85% |
| Tier 5 | Rural / low COL | 75-80% |

## Relocation Considerations
- Moving to higher tier: May increase
- Moving to lower tier: Typically maintain (grandfathered)
- New hires: Paid at location rate

Best Practices

  1. Update market data annually - Compensation moves fast
  2. Be transparent - Share bands and philosophy with employees
  3. Regular equity audits - At least annually
  4. Document decisions - Maintain records for all pay decisions
  5. Train managers - They need to understand and communicate comp
  6. Consider total rewards - Base salary isn't everything
  7. Budget realistically - Plan for merit, promotions, and equity fixes

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.