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Job Offer Evaluation Kit

作者 haidong · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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当前安装
1
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在 OpenClaw 中安装
/install job-offer-evaluation-kit
功能描述
Compare job offers with structured compensation, benefits, risk, career-fit, and life-fit frameworks. Provides comparison tools only; no financial, tax, lega...
使用说明 (SKILL.md)

Job Offer Evaluation Kit

Overview

Job Offer Evaluation Kit helps users compare one or more job offers with a structured decision framework. It organizes compensation, benefits, role quality, career trajectory, risk, and life-fit factors so the user can make their own decision.

This skill belongs to the Career & Work Decisions category and has priority P1.

This is a comparison and organization tool only. It does not provide financial advice, tax advice, legal advice, employment-law advice, immigration advice, or personalized investment guidance. It does not tell the user which offer to accept. It helps the user compare trade-offs and prepare questions for qualified advisors when needed.

When to Use

Use this skill when the user asks to:

  • compare job offers
  • evaluate a job offer
  • decide between two roles
  • compare salary, bonus, equity, and benefits
  • understand trade-offs between compensation and lifestyle
  • organize questions before accepting an offer
  • compare remote, hybrid, and in-office roles
  • evaluate career growth and role risk

Trigger keywords: job offer comparison, evaluate job offer, compare offers, offer decision, compensation comparison, benefits comparison, equity offer, remote versus office job, accept job offer, life fit matrix

Required Inputs

Collect only the information needed for comparison. The user may provide partial data; mark missing fields instead of guessing.

  • Offer basics: Company or label, role title, level, team, location, remote/hybrid/in-office expectation, start date, employment type.
  • Compensation: Base pay, bonus target, commission plan if applicable, equity or long-term incentive details, sign-on bonus, relocation support, severance or repayment obligations if known.
  • Benefits: Health coverage, retirement match, paid time off, parental leave, disability insurance, education budget, wellness benefits, commuter support, equipment budget.
  • Work reality: Manager, team size, travel, expected hours, on-call, meeting load, autonomy, decision rights, performance review process.
  • Career factors: Skills gained, scope, promotion path, brand value, mentorship, internal mobility, industry direction.
  • Risk factors: Company stage, funding or profitability signals, role clarity, reorganization risk, offer conditions, probation period, relocation risk.
  • Life-fit factors: Commute, schedule flexibility, caregiving needs, energy impact, location preferences, personal priorities, relationship or family constraints.

If the user asks for legal, tax, immigration, or financial advice, redirect to a qualified professional and continue with neutral comparison framing if useful.

Workflow

Step 1: Set the Boundary

Start with a brief boundary when the request touches money, contracts, equity, tax, immigration, or employment rights:

"I can help you compare the offers using structured decision frameworks, but I cannot provide financial, tax, legal, employment-law, or immigration advice. For those questions, use a qualified professional. The comparison can still help you identify what to ask."

Step 2: Build the Offer Snapshot

Create a snapshot table for each offer:

Field Offer A Offer B Offer C
Role / Level
Location / Work Mode
Base Pay
Bonus / Commission
Equity / LTI
Sign-On / Relocation
Core Benefits
Schedule / Travel
Growth Path
Key Unknowns

Use labels like Offer A or Company 1 if the user wants privacy.

Step 3: Compensation and Benefits Comparison

Compare compensation and benefits without advising on taxes, investments, or whether the user can afford a choice.

Use these categories:

  • Guaranteed cash: Base pay, guaranteed first-year bonus, sign-on bonus, guaranteed allowances.
  • Variable cash: Performance bonus, commission, discretionary bonus, retention bonus.
  • Equity or long-term incentives: Grant type, vesting schedule, strike or purchase price if relevant, liquidity uncertainty, refresh policy, forfeiture risk.
  • Retirement and savings benefits: Employer match, vesting, contribution limits to verify independently.
  • Insurance and health benefits: Premiums, deductibles, out-of-pocket max, provider network fit, dependents, disability coverage.
  • Time-off and leave: PTO, sick leave, holidays, parental leave, unpaid leave expectations.
  • Work expense support: Relocation, commuter benefits, home office setup, phone/internet, travel reimbursement.

Present numbers as user-supplied inputs and comparisons, not as tax-adjusted advice or investment recommendations. If equity is involved, frame it as scenario modeling with uncertainty, not valuation advice.

Step 4: Risk Assessment Matrix

Create a risk matrix:

Risk Area What to Check Offer A Offer B Notes / Questions
Role clarity Are responsibilities and success metrics clear? Low/Med/High Low/Med/High
Company stability Funding, profitability, runway, layoffs, market pressure
Manager / team fit Manager style, team health, support
Compensation risk Variable pay, equity liquidity, repayment clauses
Workload risk Hours, travel, on-call, burnout signals
Location risk Commute, relocation, visa or authorization dependency
Growth risk Promotion path, skill stagnation, limited scope

Risk levels are practical comparison labels only. Do not make factual claims about a specific employer unless the user provided evidence, and do not advise on legal enforceability of terms.

Step 5: Life-Fit Matrix

Use a life-fit matrix to compare the work against the user's real life:

Life-Fit Factor Weight 1-5 Offer A Score 1-5 Offer B Score 1-5 Notes
Commute and location
Schedule flexibility
Energy and stress
Family or caregiving fit
Health and accessibility needs
Personal identity and values fit
Community and social life
Time for outside goals

Compute weighted scores if the user wants:

  1. Assign each factor a weight from 1 to 5.
  2. Score each offer from 1 to 5.
  3. Multiply score by weight.
  4. Sum totals.
  5. Treat the score as a thinking aid, not a decision rule.

Step 6: Career-Fit and Learning Trajectory

Assess the career side:

  • Next 12 months: What will the user learn, ship, lead, or prove?
  • Next 2-3 years: What doors could this role open or close?
  • Skill compounding: Does the role build scarce, transferable skills?
  • Visibility and sponsorship: Who will see the work and advocate for growth?
  • Market narrative: How would the user explain this role on a resume or in future interviews?
  • Exit options: What roles or industries become easier after this choice?

Avoid saying one path is objectively better. Identify trade-offs and unknowns.

Step 7: Decision Summary

Return a concise summary:

  1. Best on compensation: Based on user-supplied numbers.
  2. Best on benefits: Based on user-stated needs.
  3. Best on career growth: Based on role scope and learning trajectory.
  4. Best on life fit: Based on the life-fit matrix.
  5. Highest risk / most unknowns: Based on the risk matrix.
  6. Questions to ask before deciding: Offer-specific clarification questions.

If there is no clear winner, say that and show which missing information would most improve the decision.

Output Template

Use this structure for a full response:

## Job Offer Comparison

### Boundary
This is a structured comparison only, not financial, tax, legal, employment-law, immigration, or investment advice.

### Offer Snapshot
[Side-by-side table]

### Compensation and Benefits Matrix
[Guaranteed cash, variable cash, equity/LTI, benefits, leave, work expense support]

### Risk Matrix
[Role clarity, company stability, manager/team fit, compensation risk, workload risk, location risk, growth risk]

### Life-Fit Matrix
[Weighted matrix with scores and notes]

### Career-Fit Analysis
[12-month, 2-3 year, skill, sponsorship, market narrative, exit-option comparison]

### Trade-Offs
- [Trade-off 1]
- [Trade-off 2]
- [Trade-off 3]

### Questions to Clarify
- [Question for recruiter/hiring manager]
- [Question for benefits contact]
- [Question for qualified professional if legal/tax/financial issues are involved]

### Decision Aid
[Summarize which offer leads each category and what remains uncertain. Remind the user the final decision is theirs.]

Guardrails

  • Do not provide financial advice, tax advice, legal advice, employment-law advice, immigration advice, or investment advice.
  • Do not tell the user which offer to accept, reject, negotiate, or use as leverage. Present frameworks and trade-offs.
  • Do not calculate after-tax income unless the user provides a simple arithmetic request and the result is labeled as an estimate requiring tax professional verification.
  • Do not value private-company equity as a recommendation. Use scenario ranges only and emphasize uncertainty and liquidity risk.
  • Do not interpret contract clauses, repayment obligations, noncompetes, visa conditions, or employment-law rights. Redirect to qualified professionals.
  • Do not make claims about a specific employer's stability, culture, legality, or ethics unless the user provided evidence, and even then frame it as user-provided information.
  • Encourage the user to verify all offer details in writing before making a decision.

Example Prompts

  • "I have two job offers. One pays more, the other seems better for growth. Help me compare them."
  • "Can you build a compensation and benefits matrix for these offers?"
  • "I got an offer with equity. Help me understand what questions to ask without giving financial advice."
  • "Which role fits my life better if one is remote and one has a long commute?"
  • "Help me create a decision matrix before I accept a job offer."
安全使用建议
Use this as a structured comparison aid, not as professional financial, tax, legal, immigration, or employment-law advice. Share only the compensation, benefits, family, health, or life-fit details you are comfortable having the agent process.
功能分析
Type: OpenClaw Skill Name: job-offer-evaluation-kit Version: 1.0.0 The Job Offer Evaluation Kit is a prompt-based skill designed to help users compare employment offers using structured decision frameworks. The bundle contains no executable code, no network access requirements, and no data exfiltration risks. The instructions in SKILL.md include strong guardrails against providing unauthorized legal, tax, or financial advice, and the overall logic is strictly aligned with the stated purpose of offer comparison.
能力标签
cryptocan-make-purchases
能力评估
Purpose & Capability
The stated purpose and visible instructions are coherent: organize job-offer details, compare compensation/benefits/risk/career fit/life fit, and avoid giving financial, tax, legal, immigration, or employment-law advice.
Instruction Scope
The instructions are bounded to user-provided comparison data and explicitly say to mark missing fields instead of guessing. The SKILL.md excerpt is truncated in the supplied material, so confidence is medium rather than high.
Install Mechanism
There is no install spec, no required binaries, no environment variables, and skill.json declares no code execution, no network, no credentials, and hasExecutableCode false.
Credentials
The artifacts do not show tool use, API calls, file access, purchases, crypto operations, or external data transfer. The listed capability signals for crypto and purchases are not supported by any reviewed executable or workflow behavior.
Persistence & Privilege
No persistence, background worker, credential use, account access, memory storage, or privilege escalation is shown.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install job-offer-evaluation-kit
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /job-offer-evaluation-kit 触发
  4. 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 of Job Offer Evaluation Kit for structured job offer comparisons. - Provides frameworks to compare compensation, benefits, risk, career growth, and life-fit across multiple job offers. - Organizes offer data with snapshot tables, risk and life-fit matrices, and career-fit comparisons. - Flags missing information without assumptions; avoids giving financial, tax, legal, or employment-law advice. - Helps users identify trade-offs, clarify unknowns, and prepare tailored questions for professionals. - Does not recommend specific choices—serves as an objective organization and comparison tool.
元数据
Slug job-offer-evaluation-kit
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Job Offer Evaluation Kit 是什么?

Compare job offers with structured compensation, benefits, risk, career-fit, and life-fit frameworks. Provides comparison tools only; no financial, tax, lega... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 44 次。

如何安装 Job Offer Evaluation Kit?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install job-offer-evaluation-kit」即可一键安装,无需额外配置。

Job Offer Evaluation Kit 是免费的吗?

是的,Job Offer Evaluation Kit 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Job Offer Evaluation Kit 支持哪些平台?

Job Offer Evaluation Kit 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Job Offer Evaluation Kit?

由 haidong(@harrylabsj)开发并维护,当前版本 v1.0.0。

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