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Xpersona Agent

afrexai-compensation-planner

Compensation & Salary Benchmarking Planner Compensation & Salary Benchmarking Planner Build data-driven compensation structures that attract talent without overpaying. Covers base salary bands, equity/bonus frameworks, geographic differentials, and total rewards packaging. When to Use - Building or revising salary bands for any role - Preparing for hiring sprints and need market-rate data - Conducting annual compensation reviews - Designing equity/bonus/commi

OpenClaw · self-declared
Trust evidence available
clawhub skill install skills:1kalin:afrexai-compensation-planner

Overall rank

#62

Adoption

No public adoption signal

Trust

Unknown

Freshness

Feb 25, 2026

Freshness

Last checked Feb 25, 2026

Best For

afrexai-compensation-planner is best for general automation workflows where OpenClaw compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, CLAWHUB, runtime-metrics, public facts pack

Overview

Key links, install path, reliability highlights, and the shortest practical read before diving into the crawl record.

Verifiededitorial-content

Overview

Executive Summary

Compensation & Salary Benchmarking Planner Compensation & Salary Benchmarking Planner Build data-driven compensation structures that attract talent without overpaying. Covers base salary bands, equity/bonus frameworks, geographic differentials, and total rewards packaging. When to Use - Building or revising salary bands for any role - Preparing for hiring sprints and need market-rate data - Conducting annual compensation reviews - Designing equity/bonus/commi Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.

No verified compatibility signals

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Feb 25, 2026

Vendor

Openclaw

Artifacts

0

Benchmarks

0

Last release

Unpublished

Install & run

Setup Snapshot

clawhub skill install skills:1kalin:afrexai-compensation-planner
  1. 1

    Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.

  2. 2

    Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence & Timeline

Public facts grouped by evidence type, plus release and crawl events with provenance and freshness.

Verifiededitorial-content

Public facts

Evidence Ledger

Vendor (1)

Vendor

Openclaw

profilemedium
Observed Apr 15, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Apr 15, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance
Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium
Observed Apr 15, 2026Source linkProvenance

Artifacts & Docs

Parameters, dependencies, examples, extracted files, editorial overview, and the complete README when available.

Self-declaredCLAWHUB

Captured outputs

Artifacts Archive

Extracted files

0

Examples

0

Snippets

0

Languages

typescript

Parameters

Editorial read

Docs & README

Docs source

CLAWHUB

Editorial quality

ready

Compensation & Salary Benchmarking Planner Compensation & Salary Benchmarking Planner Build data-driven compensation structures that attract talent without overpaying. Covers base salary bands, equity/bonus frameworks, geographic differentials, and total rewards packaging. When to Use - Building or revising salary bands for any role - Preparing for hiring sprints and need market-rate data - Conducting annual compensation reviews - Designing equity/bonus/commi

Full README

Compensation & Salary Benchmarking Planner

Build data-driven compensation structures that attract talent without overpaying. Covers base salary bands, equity/bonus frameworks, geographic differentials, and total rewards packaging.

When to Use

  • Building or revising salary bands for any role
  • Preparing for hiring sprints and need market-rate data
  • Conducting annual compensation reviews
  • Designing equity/bonus/commission structures
  • Benchmarking against competitors to reduce turnover

How It Works

When asked to build a compensation plan, follow this framework:

1. Role Architecture

Define job levels and salary bands:

| Level | Title Pattern | Base Range (US) | Equity % | Bonus Target | |-------|--------------|-----------------|----------|--------------| | L1 | Associate / Junior | $45K-$70K | 0-0.01% | 0-5% | | L2 | Mid-level | $70K-$110K | 0.01-0.05% | 5-10% | | L3 | Senior | $110K-$160K | 0.05-0.15% | 10-15% | | L4 | Staff / Lead | $150K-$210K | 0.1-0.3% | 15-20% | | L5 | Principal / Director | $190K-$280K | 0.2-0.5% | 20-30% | | L6 | VP / C-level | $250K-$400K+ | 0.5-2%+ | 30-50%+ |

2. Geographic Differentials

Apply cost-of-labor multipliers (not cost-of-living):

| Tier | Markets | Multiplier | |------|---------|------------| | Tier 1 | SF Bay, NYC, London | 1.0x (baseline) | | Tier 2 | Seattle, Boston, LA, Chicago | 0.90-0.95x | | Tier 3 | Austin, Denver, Manchester, Berlin | 0.80-0.85x | | Tier 4 | Remote US/UK secondary markets | 0.70-0.80x | | Tier 5 | Eastern Europe, LATAM, SEA | 0.40-0.60x |

3. Total Compensation Package

Break down total rewards:

Cash Compensation

  • Base salary: 60-80% of total comp (varies by seniority)
  • Performance bonus: 5-30% of base
  • Commission (sales roles): 40-60% of OTE

Equity Compensation

  • Startup (pre-Series B): 0.01%-2% based on level, 4-year vest, 1-year cliff
  • Growth stage: RSUs, lower % but higher dollar value
  • Public company: RSU grants refreshed annually

Benefits & Perks (typically 20-35% on top of base)

  • Health insurance: $6K-$24K/yr employer cost per employee (US)
  • 401(k)/pension match: 3-6% of salary
  • PTO: 15-25 days (US), 25-33 days (UK/EU statutory + company)
  • Learning budget: $1K-$5K/yr
  • Remote stipend: $100-$250/mo
  • Parental leave: 12-26 weeks (competitive)

4. Pay Equity Audit

Run these checks quarterly:

  1. Compa-ratio by role: Actual pay ÷ midpoint of band. Target: 0.90-1.10
  2. Gender pay gap: Compare median comp by gender within each level
  3. Tenure compression: Are new hires making more than 2-year veterans? Fix with retention adjustments
  4. Band penetration: % of employees above 1.0 compa-ratio (flag if >30%)

5. Annual Review Cycle

| Month | Action | |-------|--------| | Jan | Market data refresh (Levels.fyi, Glassdoor, Radford, Mercer) | | Feb | Manager calibration sessions | | Mar | Budget allocation (typically 3-5% of payroll for merit increases) | | Apr | Communicate adjustments, effective date | | Jul | Mid-year equity refresh grants | | Oct | Prepare next year's comp budget proposal |

6. Offer Benchmarking Checklist

Before extending any offer:

  • [ ] Check 3+ data sources (Levels.fyi, Glassdoor, Payscale, LinkedIn Salary)
  • [ ] Confirm geographic tier and apply multiplier
  • [ ] Calculate total comp (base + bonus + equity annualized + benefits value)
  • [ ] Compare to internal peers at same level (±10% band)
  • [ ] Document justification if above band midpoint
  • [ ] Get sign-off from hiring manager + finance/HR

7. Retention Risk Scoring

| Factor | Weight | Score (1-5) | |--------|--------|-------------| | Below market rate (>10% under) | 25% | | | Time since last raise (>18 months) | 20% | | | Flight risk signals (LinkedIn active, disengaged) | 20% | | | Critical role / hard to replace | 20% | | | Tenure > 3 years with no promotion | 15% | |

Score > 3.5 = immediate retention conversation needed Score 2.5-3.5 = include in next review cycle, prioritize Score < 2.5 = monitor quarterly

8. Commission & Sales Comp

For revenue roles, design OTE (On-Target Earnings):

  • Base:Variable split: 50:50 (hunters), 60:40 (farmers), 70:30 (CS/AM)
  • Accelerators: 1.5-3x rate above quota (motivates overperformance)
  • Decelerators: 0.5x rate below 80% quota (protects company)
  • Clawback policy: Define for churned deals within 90 days
  • SPIFs: Short-term incentives for strategic pushes ($500-$5K per qualifying action)

Key Metrics to Track

  • Offer acceptance rate: Target >85% (below = comp is off-market)
  • Regrettable attrition: Target <10% (above = retention issue)
  • Time to fill: If increasing, may signal comp competitiveness problem
  • Cost per hire: Include recruiter fees, signing bonuses, relocation
  • Revenue per employee: Benchmark against industry ($200K-$400K SaaS, $150K-$250K services)

Data Sources (2026)

  • Levels.fyi — Best for tech roles, real verified data
  • Glassdoor — Broad coverage, self-reported
  • Payscale — Small business focus
  • Radford (Aon) — Enterprise-grade, paid surveys
  • Mercer — Global comp data, paid
  • LinkedIn Salary Insights — Good for role-specific ranges
  • BLS Occupational Employment Statistics — Government baseline

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Bundles:

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API & Reliability

Machine endpoints, contract coverage, trust signals, runtime metrics, benchmarks, and guardrails for agent-to-agent use.

MissingCLAWHUB

Machine interfaces

Contract & API

Contract coverage

Status

missing

Auth

None

Streaming

No

Data region

Unspecified

Protocol support

OpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.
Invocation examples
curl -s "https://xpersona.co/api/v1/agents/clawhub-skills-1kalin-afrexai-compensation-planner/snapshot"
curl -s "https://xpersona.co/api/v1/agents/clawhub-skills-1kalin-afrexai-compensation-planner/contract"
curl -s "https://xpersona.co/api/v1/agents/clawhub-skills-1kalin-afrexai-compensation-planner/trust"

Operational fit

Reliability & Benchmarks

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

Do not use if

Contract metadata is missing or unavailable for deterministic execution.
No benchmark suites or observed failure patterns are available.

Machine Appendix

Raw contract, invocation, trust, capability, facts, and change-event payloads for machine-side inspection.

MissingCLAWHUB

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/clawhub-skills-1kalin-afrexai-compensation-planner/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/clawhub-skills-1kalin-afrexai-compensation-planner/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/clawhub-skills-1kalin-afrexai-compensation-planner/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/clawhub-skills-1kalin-afrexai-compensation-planner/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/clawhub-skills-1kalin-afrexai-compensation-planner/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/clawhub-skills-1kalin-afrexai-compensation-planner/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "CLAWHUB",
      "generatedAt": "2026-04-17T00:12:44.748Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "OPENCLEW",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile"
}

Facts JSON

[
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  },
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Openclaw",
    "href": "https://github.com/openclaw/skills/tree/main/skills/1kalin/afrexai-compensation-planner",
    "sourceUrl": "https://github.com/openclaw/skills/tree/main/skills/1kalin/afrexai-compensation-planner",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-15T00:45:39.800Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/clawhub-skills-1kalin-afrexai-compensation-planner/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/clawhub-skills-1kalin-afrexai-compensation-planner/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-04-15T00:45:39.800Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/clawhub-skills-1kalin-afrexai-compensation-planner/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/clawhub-skills-1kalin-afrexai-compensation-planner/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  }
]

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