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Install in OpenClaw
/install salary-research
Description
薪酬调研助手 - 查询岗位薪酬数据并生成分析报告
Usage Guidance
This skill is a thin wrapper that expects a local 'salary-natural' CLI to do the real work. Before installing/use: (1) ensure you trust and inspect the 'salary-natural' tool (its source or npm package) because that binary will perform network requests and any scraping; (2) be cautious when uploading internal/company data — the skill's examples include uploading enterprise CSVs but the skill doesn't declare where those files are sent or stored; (3) web scraping may hit third-party sites and could violate their terms — confirm acceptable use; (4) the run.sh contains a developer-oriented npm link path (harmless) but indicates local development assumptions. If you want stronger assurance, run 'salary-natural' in a sandbox or review its code before granting the skill active use.
Capability Assessment
Purpose & Capability
Name/description (salary research) align with the declared dependency on a 'salary-natural' CLI. The skill is instruction-only and delegates functionality to that binary, which is appropriate for a CLI wrapper.
Instruction Scope
SKILL.md describes using public recruiting APIs and web scraping and shows example CLI commands that call 'salary-natural' or 'salary-data'. The runtime script (run.sh) simply checks for the binary and forwards arguments. The instructions do not ask the agent to read unrelated files or secret env vars.
Install Mechanism
There is no install spec (instruction-only) and the included run.sh does not download or write arbitrary code. The script suggests an npm link command in an example path, which is a developer instruction rather than an installer downloading external artifacts.
Credentials
The skill declares no required environment variables or credentials. While SKILL.md mentions integrating with APIs or enterprise data, no undeclared secrets are requested by the skill itself. If you use enterprise-data features you may need to provide your own files or credentials outside the skill.
Persistence & Privilege
always is false and the skill does not request persistent/system-wide changes. It is user-invocable and can be invoked autonomously by keyword triggers (the platform default), which is expected behavior for a helper skill.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install salary-research - After installation, invoke the skill by name or use
/salary-research - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of 薪酬调研助手 (salary-research):
- 支持通过自然语言查询岗位薪酬数据并生成分析报告
- 自动提取岗位、城市、经验、学历等参数，支持城市别名识别
- 可显示薪资范围、平均薪资、行业和城市对比分析
- 提供多种数据输出格式（Markdown/JSON/Text/CSV）
- 支持企业内部薪酬数据上传、查询及报告生成功能
Metadata
Frequently Asked Questions
What is Salary Research?
薪酬调研助手 - 查询岗位薪酬数据并生成分析报告. It is an AI Agent Skill for Claude Code / OpenClaw, with 154 downloads so far.
How do I install Salary Research?
Run "/install salary-research" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Salary Research free?
Yes, Salary Research is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Salary Research support?
Salary Research is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Salary Research?
It is built and maintained by wanwan2qq (@wanwan2qq); the current version is v1.0.0.
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