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Employee Retention & Turnover Risk Analyzer

Name: Employee Retention & Turnover Risk Analyzer
Author: 1kalin

作者 1kalin · GitHub ↗ · v1.0.0

cross-platform ✓ 安全检测通过

512

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版本数

在 OpenClaw 中安装

/install afrexai-employee-retention

功能描述

Analyzes employee retention risk across 8 dimensions, identifies flight risks, estimates turnover costs, and provides a 90-day retention action plan with pri...

使用说明 (SKILL.md)

Employee Retention & Turnover Risk Analyzer

Diagnose why people leave. Fix it before they do.

What This Does

Runs a structured retention risk assessment across 8 dimensions, scores each 0-100, identifies flight-risk employees and departments, calculates replacement costs, and generates a 90-day action plan.

8 Retention Dimensions

Compensation Competitiveness — market benchmarking, pay equity, total comp analysis
Career Progression — promotion velocity, skill development, internal mobility
Manager Quality — span of control, 1:1 frequency, team tenure under each manager
Workload Balance — overtime patterns, PTO usage, burnout indicators
Culture & Belonging — eNPS trends, DEI metrics, team cohesion signals
Recognition & Feedback — frequency, quality, peer-to-peer vs top-down
Flexibility & Autonomy — remote policy, schedule control, decision authority
Onboarding & Early Tenure — 90-day attrition, ramp time, buddy program effectiveness

How to Use

Give the agent your team data (headcount, tenure distribution, recent departures, eNPS scores, comp bands) and it will:

Score each dimension 0-100
Flag dimensions below 60 as critical
Calculate cost-of-turnover by role level:
- Entry level: 50-60% of salary
- Mid level: 75-100% of salary
- Senior/specialist: 100-150% of salary
- Executive: 200-400% of salary
Identify top 3 retention levers (highest ROI interventions)
Generate 90-day retention action plan with owner assignments

Replacement Cost Formula

Replacement Cost = (Recruiting fees + Lost productivity + Training + Ramp time) × Role multiplier

Quick estimate:
- $65K role → $39K-$65K replacement cost
- $120K role → $90K-$180K replacement cost  
- $200K role → $200K-$800K replacement cost

2026 Retention Benchmarks

Metric	Good	Average	Poor
Annual voluntary turnover	\x3C10%	10-18%	>18%
90-day new hire attrition	\x3C5%	5-12%	>12%
eNPS	>40	10-40	\x3C10
Avg tenure	>3yr	1.5-3yr	\x3C1.5yr
Internal mobility rate	>15%	8-15%	\x3C8%
Manager quality score	>80	60-80	\x3C60

Industry Turnover Rates (2026)

Industry	Avg Voluntary Turnover	Top Quartile
Tech/SaaS	13.2%	8.1%
Financial Services	12.8%	7.4%
Healthcare	19.5%	11.2%
Retail/Ecommerce	24.1%	14.8%
Manufacturing	14.7%	9.3%
Professional Services	16.3%	10.1%
Construction	21.4%	13.6%
Legal	11.9%	7.2%
Real Estate	15.8%	9.7%
Recruitment/Staffing	28.3%	16.9%

AI Impact on Retention (2026 Factors)

New retention risks specific to the AI transition:

Role anxiety: 34% of employees report fear of AI replacement (Gallup 2025)
Skills obsolescence: Roles with >60% automatable tasks see 2.3x higher attrition
AI tool fatigue: Teams forced to adopt >3 new AI tools in 6 months show 40% higher burnout
Upskilling gap: Companies investing \x3C2% of payroll in AI training lose senior talent 1.8x faster

Retention plays that work in 2026:

AI upskilling budgets ($2K-$5K/employee/year)
Role redesign workshops (quarterly, collaborative not top-down)
"AI productivity dividends" — share efficiency gains as comp/time off
Internal AI project rotations

Red Flags Dashboard

Watch for these combinations:

eNPS dropping + PTO usage declining = burnout spiral
Senior departures clustering in one team = manager problem
Glassdoor sentiment shift + job posting views up = flight risk wave
Promotion rate \x3C5% + tenure >2yr cohort growing = stagnation crisis

Output Format

RETENTION RISK ASSESSMENT
========================
Overall Score: [X]/100
Risk Level: [LOW/MODERATE/HIGH/CRITICAL]

DIMENSION SCORES:
[Dimension]: [Score]/100 — [Status emoji] [One-line finding]

TOP 3 RISKS:
1. [Risk] — Est. cost if unaddressed: $[X]/year
2. [Risk] — Est. cost if unaddressed: $[X]/year
3. [Risk] — Est. cost if unaddressed: $[X]/year

RECOMMENDED ACTIONS (90-day):
Week 1-2: [Quick wins]
Week 3-6: [Structural changes]
Week 7-12: [Culture/process shifts]

TOTAL ESTIMATED SAVINGS: $[X]/year from reduced turnover

Get the Full Workforce AI Toolkit

This skill covers retention diagnostics. For the complete workforce transformation stack — AI readiness assessment, role redesign, hiring optimization, and productivity benchmarking:

SaaS Context Pack: https://afrexai-cto.github.io/context-packs/ ($47)
AI Revenue Calculator: https://afrexai-cto.github.io/ai-revenue-calculator/
Agent Setup Wizard: https://afrexai-cto.github.io/agent-setup/
Pick 3 Bundle: https://buy.stripe.com/... ($97)
All 10 Packs: https://buy.stripe.com/... ($197)

Built by AfrexAI — turning AI into revenue since 2025.

安全使用建议

This skill appears to do what it says, but it will need sensitive HR data to be useful. Before using it: (1) avoid pasting raw PII (names, SSNs, personal email addresses); anonymize or aggregate data where possible (e.g., role-level, cohort-level metrics); (2) confirm where the agent stores or logs analysis outputs and who can access them; (3) vet the vendor if you plan to follow paid links or hand over full datasets to external services; (4) if you must share individual-level data, ensure compliance with your company privacy policy and local law. If you want stronger assurance, test the skill with synthetic or anonymized sample data first.

功能分析

Type: OpenClaw Skill Name: afrexai-employee-retention Version: 1.0.0 The skill bundle appears benign. The SKILL.md provides clear, task-oriented instructions for an AI agent to perform employee retention analysis based on provided data. There are no instructions for data exfiltration, malicious execution, persistence, or prompt injection attempts against the agent. External links in SKILL.md and README.md are for additional commercial products and resources, presented to the user, not as commands for the agent to execute or interact with programmatically.

能力评估

✓ Purpose & Capability

The name and description match the SKILL.md: it performs retention scoring, cost estimates, and a 90-day plan. It does not request unrelated binaries, environment variables, or config paths.

ℹ Instruction Scope

Runtime instructions ask the agent to analyze user-provided team data (headcount, tenure, departures, eNPS, comp bands), which is appropriate. Be aware this inherently involves sensitive HR/personnel data — the SKILL.md does not instruct the agent to read system files or external configs, nor to transmit data to third‑party endpoints, but it does not include guidance on anonymization or logging/privacy either.

✓ Install Mechanism

No install spec and no code files — instruction-only. This minimizes on-disk code execution and install-time risk.

✓ Credentials

The skill declares no required environment variables, credentials, or config paths. The data it needs (workforce metrics) are appropriate for the task; no unrelated secrets are requested.

✓ Persistence & Privilege

always is false and the skill does not request elevated or persistent privileges. Autonomous invocation is permitted (platform default) but not combined with other concerning flags.

如何使用

确保已安装 OpenClaw（本地或 Docker 部署）
在对话框中输入安装命令：/install afrexai-employee-retention
安装完成后，直接呼叫该 Skill 的名称或使用 /afrexai-employee-retention 触发
根据 Skill 的参数说明提供必要输入，即可获得结构化输出

版本历史

v1.0.0

- Initial release: Employee Retention & Turnover Risk Analyzer launched. - Performs 8-dimension retention risk assessment, with 0-100 scores per area. - Identifies at-risk employees/departments, estimates turnover costs by role level, and benchmarks against 2026 industry metrics. - Generates a tailored 90-day action plan and flags top ROI interventions. - Includes cost formulas, modern retention benchmarks, and AI-specific risk factors for 2026. - Offers links to related tools for broader workforce transformation.

元数据

Slug afrexai-employee-retention

版本 1.0.0

许可证 —

累计安装 0

当前安装数 0

历史版本数 1

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