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Agent Skill · 研究检索

afrexai-compensation-planner(Afrexai 薪酬规划师)

afrexai-compensation-planner 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

afrexai-compensation-planner 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 6,529。

总安装 21,865周安装 876GitHub Stars 公开资料未说明下载 7,078核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:afrexai-compensation-planner(Afrexai 薪酬规划师)
来源仓库:https://github.com/1kalin/afrexai-compensation-planner
安装命令:
openclaw skills install afrexai-compensation-planner
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install afrexai-compensation-planner

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

利用市场数据、薪资范围、股权、奖金、地域薪资调整和保留风险评分制定有竞争力的薪酬计划。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install afrexai-compensation-planner;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

afrexai-compensation-planner 怎么安装?

在终端执行 openclaw skills install afrexai-compensation-planner。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

afrexai-compensation-planner 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

afrexai-compensation-planner 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

afrexai-compensation-planner 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

afrexai-compensation-planner 用的人多吗?

公开数据是累计安装 21,865 次,近一周安装 876 次,下载 7,078 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

afrexai-compensation-planner 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
afrexai-compensation-planner

Afrexai 薪酬规划师 · 本页

21,865—需要联网MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

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:

LevelTitle PatternBase Range (US)Equity %Bonus Target
L1Associate / Junior$45K-$70K0-0.01%0-5%
L2Mid-level$70K-$110K0.01-0.05%5-10%
L3Senior$110K-$160K0.05-0.15%10-15%
L4Staff / Lead$150K-$210K0.1-0.3%15-20%
L5Principal / Director$190K-$280K0.2-0.5%20-30%
L6VP / C-level$250K-$400K+0.5-2%+30-50%+

2. Geographic Differentials

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

TierMarketsMultiplier
Tier 1SF Bay, NYC, London1.0x (baseline)
Tier 2Seattle, Boston, LA, Chicago0.90-0.95x
Tier 3Austin, Denver, Manchester, Berlin0.80-0.85x
Tier 4Remote US/UK secondary markets0.70-0.80x
Tier 5Eastern Europe, LATAM, SEA0.40-0.60x

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

MonthAction
JanMarket data refresh (Levels.fyi, Glassdoor, Radford, Mercer)
FebManager calibration sessions
MarBudget allocation (typically 3-5% of payroll for merit increases)
AprCommunicate adjustments, effective date
JulMid-year equity refresh grants
OctPrepare 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

FactorWeightScore (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 replace20%
Tenure > 3 years with no promotion15%

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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平台分布

OpenClaw

81.49%
按下载量换算5,768

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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