Agent skill

Compensation Benchmarking

by w95 in w95/awesome-claude-corporate-skills

TRIGGER THIS when researching market salaries, building compensation strategies, creating salary bands, analyzing pay equity, conducting salary reviews, preparing compensation proposals, or ensuring…

MITAuto-check passedBusiness, Finance & HR

Install Compensation Benchmarking

skills CLI
$ npx skills add w95/awesome-claude-corporate-skills --skill compensation-benchmarking -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install w95/awesome-claude-corporate-skills compensation-benchmarking --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/w95/awesome-claude-corporate-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/03-human-resources/compensation-benchmarking .claude/skills/compensation-benchmarking && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
compensation-benchmarking
GitHub stars
239
Token cost
~4.6k tokens
SKILL.md length
1,701 words
Files
1
Skills in repo
42
Repo updated
First seen
Licence
MIT

At a glance

TRIGGER THIS when researching market salaries, building compensation strategies, creating salary bands, analyzing pay equity, conducting salary reviews, preparing compensation proposals, or ensuring…

  • Works in 12 steps: Market Research & Data Sources → Salary Band Development → Compensation Strategy Framework → …
  • THIS when researching market salaries
  • SKILL.md covers Overview, When to Use This Skill, Key Components and Workflow, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Compensation Benchmarking is an agent skill from w95/awesome-claude-corporate-skills. TRIGGER THIS when researching market salaries, building compensation strategies, creating salary bands, analyzing pay equity, conducting salary reviews, preparing compensation proposals, or ensuring competitive compensation. Analyzes market data, builds equity-focused salary structures, identifies pay gaps, and creates data-driven compensation recommendations.

Its SKILL.md is about 4.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Business, Finance & HR, covering Proposals and quotes, Stock and market analysis and Recruiting and HR. The repository describes itself as: 166 production-ready Claude AI skills organized by corporate role — executive leadership, finance, HR, marketing, sales, legal, operations, engineering, product, data, customer…. The licence is MIT.

When your agent uses it

  • THIS when researching market salaries
  • Building compensation strategies
  • Creating salary bands
  • Analyzing pay equity

Example prompts

  • “/compensation-benchmarking”

Workflow steps

12 steps, taken from the step headings in SKILL.md.

  1. Market Research & Data Sources
  2. Salary Band Development
  3. Compensation Strategy Framework
  4. Pay Equity Analysis
  5. Salary Review & Adjustment Process
  6. Offer Negotiation & Compensation Packaging
  7. Retention & Competitive Compensation
  8. Executive Compensation
  9. Data & Compliance Considerations
  10. Assess Current Situation
  11. Market Research
  12. Build Salary Bands

What it can do on your machine

Read from SKILL.md and the folder at commit 78dbc7c. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Compensation Benchmarking loads about 4.6k tokens when it runs. Until then it costs about 97 tokens; SKILL.md has 1,701 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~97
When it runs · the whole SKILL.md, loaded when a task matches
~4.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from w95/awesome-claude-corporate-skills at commit 78dbc7c, republished under its MIT licence (© w95). 1,701 words, ~4,649 tokens.

Download SKILL.mdSave it as .claude/skills/compensation-benchmarking/SKILL.md (or your agent's skills folder).
name
compensation-benchmarking
description
TRIGGER THIS when researching market salaries, building compensation strategies, creating salary bands, analyzing pay equity, conducting salary reviews, preparing compensation proposals, or ensuring competitive compensation. Analyzes market data, builds equity-focused salary structures, identifies pay gaps, and creates data-driven compensation recommendations.

Compensation Benchmarking

Overview

This skill helps HR professionals and leaders make data-driven compensation decisions that are competitive, equitable, and aligned to business strategy. It provides frameworks for market research, salary band development, pay equity analysis, compensation proposals, and ongoing market monitoring that attract and retain talent while managing labor costs.

When to Use This Skill

  • Researching market rates for specific roles
  • Building or updating salary bands
  • Creating compensation strategy
  • Analyzing pay equity issues
  • Conducting salary reviews or adjustments
  • Preparing compensation for offer negotiations
  • Benchmarking against competitors
  • Analyzing compensation by demographics
  • Building executive compensation packages
  • Creating retention-focused compensation strategies

Key Components

1. Market Research & Data Sources

Primary Data Sources:

Salary Surveys:

  • Bureau of Labor Statistics (BLS): Free, government data
  • Salary.com, Glassdoor, PayScale: Self-reported data (consider bias)
  • Robert Half, Mercer, Towers Watson: Professional surveys (cost-based)
  • Industry-specific surveys: Often most relevant but specialized

Methodology:

  • Identify comparable roles in target market
  • Compare: Company size, industry, geography, experience level
  • Collect data from 3-5 sources minimum
  • Weight most recent and relevant data more heavily
  • Adjust for cost of living by geography
  • Account for company size and maturity

Data Points to Collect:

  • Median salary (most reliable)
  • 25th and 75th percentiles (understand range)
  • Benefits and total compensation
  • Bonus and variable comp (if applicable)
  • Stock options or equity (if applicable)
  • Job title and description (ensure comparability)
  • Company size, industry, geography
  • Years of experience required

Critical: Ensure Comparable Roles Don't compare apples to oranges:

  • Title might vary: "Senior Product Manager" vs. "Product Manager III"
  • Scope and responsibility: 1-person team vs. 10-person team
  • Experience level: 5 years vs. 15 years experience
  • Geography: San Francisco vs. Austin (significant cost of living differences)
  • Industry: Tech startup vs. enterprise healthcare
  • Match on as many dimensions as possible
2. Salary Band Development

Create structured salary bands aligned to market and internal consistency.

Band Structure Example:

SALARY BAND FRAMEWORK

ROLE: Senior Product Manager

MARKET MEDIAN: $150,000

BAND STRUCTURE (for typical PM with 7-10 years experience):

Entry: $130,000 - $150,000 (Newly promoted or hired externally)
Mid: $150,000 - $175,000 (2-3 years in role, strong performance)
Senior: $175,000 - $205,000 (5+ years in role, high performer, potential leader)

TOTAL COMPENSATION POSITIONING:

25th percentile: $130,000 base (below market, only for growth)
Median/50th: $157,500 base (at market, target position)
75th percentile: $185,000 base (above market, top 25%)

BAND GUIDELINES:
- New to role: Bottom of band
- Solid performer: Mid of band
- Top performer/specialized skills: Upper band
- Don't exceed band unless exceptional circumstances

EQUITY & BONUS (if applicable):
- Stock options: 0.05% - 0.15% grant
- Bonus target: 15-20% of base (if role-appropriate)

Band Design Principles:

Market-Based Positioning:

  • Below market (25th percentile): For growth roles or startup stage
  • Market (50th percentile): Standard targeting position
  • Above market (75th percentile): Top talent, retention focus
  • Typically target median unless unique strategy

Internal Consistency:

  • Bands should be internally consistent
  • Higher-responsibility roles should have higher bands
  • Clear progression between levels
  • Typically 20-30% difference between levels

Geographic Adjustments: Common approach:

  • Base location at 100% (your headquarters)
  • Apply cost of living multipliers:
    • San Francisco: 1.30-1.50x
    • New York: 1.20-1.40x
    • Austin: 0.85-0.95x
    • Midwest: 0.80-0.90x
  • Or: Set salary based on work location, not hire location

Example Geographic Bands:

Senior Product Manager (7-10 years)

San Francisco: $180,000 - $265,000
New York: $170,000 - $255,000
Seattle: $160,000 - $240,000
Austin: $135,000 - $200,000
Midwest: $130,000 - $195,000
3. Compensation Strategy Framework

Key Decisions to Make:

Market Positioning:

  • Will you pay at 25th, 50th, or 75th percentile?
  • Can vary by role (pay more for critical roles)
  • Startup: Usually at 25th, supplement with equity
  • Growth/Scale-up: 50th percentile
  • Established/Profitable: 50th or 75th

Equity vs. Cash Trade-off:

  • High equity, lower cash: Startup, early-stage
  • Balanced: Growth-stage or growth-minded company
  • Lower equity, full cash: Established, stable company
  • Tech industry: Equity is retention/motivation tool

Benefits Strategy:

  • Healthcare: Comprehensive or basic?
  • Retirement: 401k match (typically 3-6%)?
  • Paid time off: Generous or standard?
  • Other: Education budget, mental health, wellness?
  • Remote/Flexibility: Is this competitive advantage or standard?

Variable Compensation:

  • Sales roles: High commission (30-50% of comp)
  • Manager roles: Bonus tied to company/team performance
  • Executive: Significant bonus/equity component
  • Individual contributor: Typically base-heavy

Transparency Strategy:

  • Publish ranges? (Increasingly common, helps attract talent, constrains negotiations)
  • Keep private? (More negotiation flexibility, can create inequity)
  • Hybrid: Ranges shared in job descriptions, not full structure
  • Current trend: Publish ranges, improves equity
4. Pay Equity Analysis

Ensure fair, non-discriminatory compensation.

Why This Matters:

  • Legal compliance: Equal Pay Act, Title VII
  • Ethical: Fair pay for equal work
  • Retention: Pay dissatisfaction drives turnover
  • Talent acquisition: Word spreads about pay inequity
  • DEI: Pay gaps often correlate with race, gender

Analysis Framework:

Step 1: Identify Comparable Roles

  • Same job title OR substantially similar work
  • Same location (if geography affects pay)
  • Same level/grade
  • Compare roles that are genuinely comparable

Step 2: Identify Pay Gaps

  • Calculate average salary by demographic (gender, race, etc.)
  • Compare: women's pay vs. men's pay in same role
  • Calculate: % difference
  • Example: If women earn $140K and men earn $155K, that's a 9.7% gap

Step 3: Investigate Differences

  • Are differences explained by legitimate factors?
    • Years of experience in role
    • Performance ratings
    • Education/certifications
    • Specialized skills
    • Market timing (hired at different times)
  • Are there unexplained gaps (requiring analysis or adjustment)?

Step 4: Take Corrective Action

  • If unexplained gaps exist: Develop pay equity adjustment plan
  • Prioritize largest gaps and most clear cases first
  • Budget adjustments gradually (immediate if severe)
  • Communicate transparently (without breaking confidentiality)
  • Implement: Increase salaries to eliminate gender/race-based gaps
  • Commit: Ongoing monitoring

Pay Equity Analysis Template:

PAY EQUITY ANALYSIS

Role: Senior Software Engineer
Location: San Francisco
Comparison Level: All engineers in role with 5-7 years experience

SALARY COMPARISON BY GENDER

Female Engineers (n=12):
- Average Salary: $165,000
- Median: $163,500
- Range: $150K - $185K

Male Engineers (n=18):
- Average Salary: $178,000
- Median: $177,500
- Range: $155K - $210K

GAP: $13,000 (7.9% gap, favoring males)

ANALYSIS OF DIFFERENCE

Experience Breakdown:
- Female: avg 5.8 years | Male: avg 5.9 years (not significant)

Performance Ratings:
- Female: avg 3.7/5 | Male: avg 3.8/5 (minimal difference)

Specialized Skills:
- Female: 33% have cloud architecture cert | Male: 39% (minor)

External Hires:
- Female: avg hired at $158K | Male: avg hired at $169K
- This accounts for approximately $8K of gap (market timing, negotiation)

CONCLUSION

Unexplained gap: ~$5,000 after accounting for legitimate factors.
This is within 3% after adjusting for observable factors, but trending gap may indicate systemic undervaluation.

RECOMMENDATION

1. Adjust three lowest-paid female engineers within role to band ranges
2. Review next hire to ensure equitable offer
3. Re-analyze quarterly to monitor trend
4. Consider women's negotiation support (research shows women negotiate less)

COST: $15,000 total (one-time)
TIMELINE: Implement within 30 days
5. Salary Review & Adjustment Process

Annual Salary Review:

Framework:

  • Performance-based merit increases
  • Market adjustments for underpaid roles
  • Cost of living adjustments (COLAs)
  • Promotion/role change salary adjustments
  • Retention bonuses if needed

Typical Increase Framework:

  • Below expectations: 0-1% (or no increase)
  • Meets expectations: 2-3% (typical market increase)
  • Exceeds expectations: 3-5%
  • High performer/promotable: 5-8%
  • Newly promoted: Significant jump to role level

Example Salary Adjustment Decision:

ANNUAL SALARY REVIEW

Employee: Alex Martinez
Role: Product Manager
Current Salary: $145,000
Review Date: March 2024

MARKET ANALYSIS
- PM Role Market: $150,000 (median) - $160,000 (at 75th percentile)
- Alex's salary: $145,000 (below market by $5,000)
- Status: Under market

PERFORMANCE
- Performance rating: Exceeds Expectations (4/5)
- 1-year in role: Growing quickly
- Promotable: Yes, in 18-24 months

DECISION
1. Merit increase: 5% ($145K x 1.05 = $152.25K, round to $152,000)
   - Justification: Strong performance (exceeds expectations) + undermarket position
2. Justification for amount:
   - Standard merit (2-3%) + market adjustment (2-3%) = 4-6%
   - New salary: $152,000 (now at market median)

EQUITY CHECK
- Check if similar performers got similar increases
- Ensure gender/race neutrality in increases
- Document reasoning for file

COMMUNICATION
- Meet with employee
- Explain: "You've shown strong performance. We're adjusting to market rate."
- Discuss: Development plan, career path
- No surprises (should have feedback in 1:1s)

Red Flags in Salary Reviews:

  • Inconsistent increases for similar performance
  • No increases for strong performers (will lose them)
  • Women/minorities receiving lower increases
  • Seniority-only increases (doesn't reward performance)
  • No adjustments for market changes
6. Offer Negotiation & Compensation Packaging

Starting Offer Strategy:

Framework:

  • Determine band for role based on:
    • Market data (50th percentile typical)
    • Experience level of candidate
    • Skills/specialization
    • Internal equity (don't pay new hire more than existing employee in same role)
  • Make initial offer within band (don't go to top immediately)
  • Leave room for negotiation
  • Be prepared to explain band

Offer Components:

OFFER PACKAGE

Base Salary: $155,000 (50th percentile for role, 5 years exp level)

Bonus:
- Annual bonus target: 20% of base ($31,000 if targets met)
- Based on company performance and individual performance
- First year: Pro-rated based on start date

Equity:
- Stock options: 0.10% grant
- Vests: 4-year schedule with 1-year cliff
- Exercise price: FMV at grant date

Benefits:
- Comprehensive health insurance (medical, dental, vision)
- Company pays 80% of premium
- 401k with 4% match
- 20 days PTO (paid time off)
- 5 days sick leave
- Parental leave: 12 weeks paid

Additional:
- $5,000 annual learning & development budget
- Home office setup: $2,000
- Mental health support: Therapy stipend, meditation app
- Commuter benefits

Total Compensation Estimate (Year 1):
- Base: $155,000
- Bonus (at target): $31,000
- Benefits (estimated): $28,000
- Equity (estimated value): $30,000
- Total Comp: $244,000

Negotiation Approach:

  • Have defined band; don't exceed for single hire
  • Be ready to move on salary (typical: up to 10% negotiation)
  • Offer flexibility on bonus, start date, additional benefits
  • Equity can be higher if cash-constrained
  • Get approval authority set in advance
  • Counter with full package, not just base salary
  • Have walk-away point established

Salary Negotiation Best Practices:

  • Never ask candidates their current/expected salary (some regions legally restrict this)
  • Make competitive offers upfront (reduces negotiation friction)
  • Disclose band or range (improves transparency, reduces negotiation)
  • Have clear decision authority before offer
  • Document all offers and negotiations
  • Ensure equal negotiation approach for all demographics
Show full SKILL.md (704 more words)Show less
7. Retention & Competitive Compensation

Retention Bonuses (when needed):

  • Use when: Talent is at risk, role is critical, market is tight
  • Structure: Lump sum, typically 10-25% of annual salary
  • Timing: Paid in lump sum or over 12-24 months
  • Condition: Often requires continued employment
  • Risk: Delay actual departure but doesn't address root issue

Equity Refresh Grants:

  • Adjust vesting schedule for high performers
  • New grant to extend vesting timeline
  • Keeps long-term incentive alive
  • More meaningful than one-time bonus

Market Monitoring:

  • Quarterly salary research for key roles
  • Annual competitive analysis
  • Benchmark against direct competitors
  • Track candidate feedback ("chose competitor for higher pay")
  • Conduct internal market reviews
8. Executive Compensation

Components:

CEO/Executive Compensation Typically Includes:

  • Base salary: $200K - $500K+ depending on company stage/size
  • Annual bonus: 50-150% of base (tied to performance metrics)
  • Long-term equity: 0.5% - 2.0% for CEO (4-year vesting)
  • Benefits: Executive benefits, deferred comp, etc.
  • Severance: 6-12 months or more for C-suite

Governance:

  • Board approval for CEO/C-suite compensation
  • Comp committee oversight
  • Consider: benchmarks, performance, dilution
  • Disclosure requirements if public company
  • 409A valuation (for private companies with equity)

Performance Metrics (often tied to bonus):

  • Revenue growth
  • Profitability/EBITDA
  • Customer acquisition
  • Market share
  • Stock price (if public)
  • Strategic goals
9. Data & Compliance Considerations

Confidentiality & Privacy:

  • Salary data is sensitive; handle carefully
  • Limit access to need-to-know (HR, Finance, CEO)
  • Avoid discussing salaries across team (creates distrust)
  • Note: Employees have legal right to discuss own salary; you can't prohibit

Documentation:

  • Keep records of salary decisions and reasoning
  • Document market research and adjustments
  • Keep offer negotiation records
  • File pay equity analyses
  • Document any discrimination complaints

Compliance:

  • Equal Pay Act: Same pay for substantially equal work
  • Title VII: Non-discrimination based on race, color, religion, sex, national origin
  • State/local pay transparency laws (CA, CO, NY, WA, etc.)
  • Remote work: May apply salary of work location, not hire location
  • FMLA: Don't reduce comp for FMLA leave
  • Disability: Reasonable accommodation can't reduce comp

Workflow

Step 1: Assess Current Situation
  • Document current compensation structure
  • List all roles and current salaries
  • Identify any obvious market gaps
  • Note recent turnover or hiring challenges
  • Assess competitiveness issues
Step 2: Market Research
  • Identify comparable roles in target market
  • Research 3-5 reliable salary sources
  • Document: median, 25th, 75th percentiles
  • Adjust for geography, company size, experience
  • Create market summary by role
Step 3: Build Salary Bands
  • Set market positioning (25th, 50th, 75th percentile)
  • Develop bands for each role/level
  • Include geographic multipliers if applicable
  • Build total compensation picture
  • Document band rationale
Step 4: Analyze Pay Equity
  • Identify comparable roles
  • Compare compensation by demographics
  • Investigate pay gaps
  • Identify adjustments needed
  • Plan corrective action
Step 5: Develop Compensation Strategy
  • Set market positioning strategy
  • Define equity/bonus philosophy
  • Set benefits strategy
  • Establish offer framework
  • Create negotiation guidelines
Step 6: Implement & Communicate
  • Adjust salaries for identified gaps (plan timeline and budget)
  • Train managers on compensation philosophy
  • Create offer templates and decision trees
  • Build ongoing monitoring process
  • Consider transparency approach (publish bands or not)
Step 7: Monitor & Update
  • Quarterly review of key roles against market
  • Annual update of salary bands and strategy
  • Monitor pay equity continuously
  • Adjust for market changes
  • Review retention and competitiveness

Best Practices

  1. Data-Driven: Use multiple sources, not gut feel
  2. Transparent: Share bands/ranges, reduce negotiation friction
  3. Equitable: Actively monitor and address pay gaps
  4. Competitive: Position to attract and retain talent
  5. Documented: Keep clear records of research and decisions
  6. Consistent: Apply same framework across organization
  7. Regular Monitoring: Don't set once and forget
  8. Market Aware: Understand competitive landscape
  9. Total Comp View: Consider salary, equity, benefits holistically
  10. Aligned: Compensation should reflect strategy (startup vs. stable vs. growth)

Common Mistakes to Avoid

  • Basing salary on current/expected salary (perpetuates inequity)
  • Not adjusting for market changes (becomes uncompetitive)
  • Ignoring pay equity issues (legal and retention risk)
  • Inconsistent application of bands across team
  • Overweighting individual negotiation skill
  • Not communicating band logic (creates distrust)
  • Hiring external person at higher pay than internal equivalent
  • No periodic adjustment (inflation erodes competitiveness)
  • Geographic inconsistency (unfair across locations)

Measuring Success

  • Competitiveness ratio (internal pay vs. market median)
  • Time-to-hire improvement (competitive offers help)
  • Offer acceptance rate
  • Retention rate overall and by role
  • Pay gap trend (should narrow over time)
  • Internal equity perception (survey feedback)
  • Market feedback on competitiveness
  • No discrimination complaints or issues
  • Ability to hire needed talent
  • Employee satisfaction with compensation

© w95, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in 03-human-resources/compensation-benchmarking of w95/awesome-claude-corporate-skills.

Open the folder on GitHubat commit 78dbc7c

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Questions about Compensation Benchmarking

What does Compensation Benchmarking do?

TRIGGER THIS when researching market salaries, building compensation strategies, creating salary bands, analyzing pay equity, conducting salary reviews, preparing compensation proposals, or ensuring…. Compensation Benchmarking is an agent skill from w95/awesome-claude-corporate-skills. TRIGGER THIS when researching market salaries, building compensation strategies, creating salary bands, analyzing pay equity, conducting salary reviews, preparing compensation proposals, or ensuring competitive compensation.

When should I use Compensation Benchmarking?

Compensation Benchmarking fits situations like: THIS when researching market salaries; building compensation strategies; creating salary bands; analyzing pay equity.

How do I install Compensation Benchmarking in Claude Code?

Run `npx skills add w95/awesome-claude-corporate-skills --skill compensation-benchmarking -a claude-code`. Or copy the skill folder (03-human-resources/compensation-benchmarking in w95/awesome-claude-corporate-skills) into .claude/skills/compensation-benchmarking in your project. Claude Code loads it when a task matches its description.

How do I install Compensation Benchmarking in Codex?

Run `npx skills add w95/awesome-claude-corporate-skills --skill compensation-benchmarking -a codex`. Or copy the skill folder (03-human-resources/compensation-benchmarking in w95/awesome-claude-corporate-skills) into .agents/skills/compensation-benchmarking in your project. Codex loads it when a task matches its description.

Can I use Compensation Benchmarking in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add w95/awesome-claude-corporate-skills --skill compensation-benchmarking -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/compensation-benchmarking, .gemini/skills/compensation-benchmarking, .github/skills/compensation-benchmarking and .opencode/skills/compensation-benchmarking in your project.

What does Compensation Benchmarking need to run?

SKILL.md names no scripts, command-line tools or credentials: Compensation Benchmarking is instructions for the agent only.

Does Compensation Benchmarking access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Compensation Benchmarking safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Compensation Benchmarking use?

Compensation Benchmarking is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Compensation Benchmarking use?

About 4.6k tokens (SKILL.md is roughly 19k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Compensation Benchmarking?

Skills that share tags, products or a category with Compensation Benchmarking: Influence And Negotiation (samber/cc-skills, 228 stars), Longbridge Research (helsome/folio, 270 stars), Mmr Loop Skill (9600dev/mmr, 131 stars) and Mmr Skill (9600dev/mmr, 131 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Compensation Benchmarking?

w95 (a GitHub user) maintains it in w95/awesome-claude-corporate-skills, which has 239 GitHub stars. The repository holds 42 skills in this directory. The repository was last updated on February 26, 2026.

Source: w95/awesome-claude-corporate-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.