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H1B Sponsor Finder

作者 Bob · GitHub ↗ · v1.1.2 · MIT-0
cross-platform ✓ 安全检测通过
392
总下载
0
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0
当前安装
6
版本数
在 OpenClaw 中安装
/install h1b-finder
功能描述
Find H1B / H-1B sponsor companies, visa sponsorship employers, and sponsor history for US jobs.
使用说明 (SKILL.md)

H1B Sponsor Finder / H1B Sponsor 查询

Find H1B sponsor companies and visa-friendly jobs faster.

快速查找 H1B sponsor 公司和支持工签的岗位。

English capability bullets

  • Find H1B / H-1B sponsor companies by role, employer, city, state, or year.
  • Compare sponsor history across companies such as Amazon, Google, and Microsoft.
  • Surface filing-based role, location, and salary signals when records support it.
  • Narrow a US job search toward employers with historical visa sponsorship activity.

中文功能要点

  • 按岗位、公司、城市、州或年份查找 H1B sponsor 公司。
  • 对比 Amazon、Google、Microsoft 等公司的 sponsor 历史和活跃度。
  • 在有记录时给出岗位、地区和薪资相关的提交信号。
  • 帮你先筛出更可能支持工签的美国雇主,再决定投递方向。

Best for / 适合谁

  • International students, OPT candidates, early-career job seekers, and experienced candidates targeting US employers with work visa support.
  • People researching H1B sponsor companies, visa sponsorship jobs, H1B-friendly employers, or filing history before applying.
  • 想找 H1B 雇主、工签支持岗位、Sponsor 公司,或先看 sponsor 记录再投递的中英文用户。
  • 想按岗位、城市、州、年份或公司名缩小美国求职范围的用户。

Example queries / 示例问题

English

  • Find H1B sponsor companies for data engineer roles in Seattle.
  • Find H1B sponsoring employers for software engineer in Virginia.
  • Compare H1B sponsor activity for Amazon, Google, and Microsoft.
  • Find entry-level H1B-friendly jobs for new grads in New York.
  • Find companies sponsoring product manager roles in California.
  • Find H1B jobs near Washington DC for backend engineers.
  • Show employers that filed for data analyst roles in Texas.

中文

  • 帮我找 Seattle 的 Data Engineer H1B sponsor 公司。
  • 查 Virginia 的 Software Engineer sponsor 雇主。
  • 对比 Amazon、Google、Microsoft 的 H1B sponsor 活跃度。
  • 找适合应届生的 H1B 友好公司,最好在 New York。
  • 找支持 Product Manager 的 sponsor 公司,范围看 California。
  • 找华盛顿 DC 附近适合 Backend Engineer 的 H1B 工作。
  • 查哪些公司给 Data Analyst 岗位提交过 H1B,最好看 Texas。

What you'll get / 输出内容

  • A short answer first, then a ranked shortlist or compact comparison.

  • Employer names with role, location, year, or filing-history context.

  • Salary or trend notes when the underlying filing records support them.

  • Caveats when coverage is thin, delayed, or not directly comparable.

  • A useful next step, such as narrowing by city, role, employer, or fiscal year.

  • 先给一句结论,再给简明 shortlist 或公司对比。

  • 展示雇主名称,以及岗位、地区、年份或提交历史的上下文。

  • 如果底层记录支持,会补充薪资或趋势提示。

  • 当覆盖不足、数据滞后或口径不完全可比时,会明确提醒。

  • 最后给出下一步建议,比如继续按城市、岗位、公司或财年细化。

When to use this skill / 何时使用这个技能

Use this skill when the user is asking about H1B sponsor companies, visa sponsorship jobs, companies that filed H1B, H1B-friendly employers, US jobs with work visa support, or sponsor history by company, role, city, state, or year.

当用户在问 H1B sponsor 公司、支持工签的美国岗位、哪些公司提交过 H1B、H1B 友好雇主、某公司或某岗位的 sponsor 历史时,应优先使用这个技能。

It is especially useful for queries that sound like sponsor lookup, employer comparison, filing-history research, or "which companies are more likely to support work visas for this role?"

尤其适合这类问题:查 sponsor 公司、比较雇主 sponsor 活跃度、看历史提交记录,或者问“这个岗位哪些公司更可能支持工签?”

Search basis / 检索依据

  • Uses historical public labor disclosure data surfaced through h1bfinder.com.

  • Best for sponsor lookup, filing-history research, employer comparison, and role/location exploration.

  • Helpful for finding sponsor leads, but it is not a live job board and not an official government source.

  • 基于 h1bfinder.com 提供的历史公开劳工披露数据进行检索和整理。

  • 适合做 sponsor 查询、提交记录研究、雇主对比,以及岗位和地区探索。

  • 适合找 sponsor 线索,但它不是实时职位板,也不是政府官方数据入口。

Response style / 输出方式

  • Prefer concise, decision-oriented answers over long background explanations.

  • Translate the request into practical filters such as employer, title, city, state, year, or comparison scope.

  • If the request is underspecified, make one reasonable assumption and state it briefly.

  • Ask a follow-up only when the missing detail would materially change the result.

  • 先给实用结论,再补充必要说明,不要先讲长背景。

  • 尽量把问题转成公司、岗位、城市、州、年份或对比范围等筛选条件。

  • 如果信息不完整,可以做一个合理默认假设,并简短说明。

  • 只有在缺少关键信息会明显影响结果时,才继续追问。

Notes / 注意事项

  • Data may be incomplete, delayed, or uneven across employers, roles, locations, and years.

  • Historical filing results do not guarantee that a company is hiring now or still offering sponsorship.

  • This skill is informational only. It is not legal advice, immigration advice, or a guarantee of job outcomes.

  • Verify important details yourself before making job-search, visa, or legal decisions.

  • Homepage: https://h1bfinder.com

  • 数据可能不完整,也可能存在滞后,不同公司、岗位、地区和年份的覆盖度会不同。

  • 历史提交记录不代表公司当前一定在招聘,也不代表现在仍然提供 sponsor。

  • 本技能仅提供信息参考,不构成法律建议、移民建议或求职结果保证。

  • 在做求职、签证或法律相关决定前,请自行进一步核实。

  • 主页:https://h1bfinder.com

安全使用建议
This skill appears coherent and low-risk: it only describes lookups against h1bfinder.com and asks for no credentials. Before installing, you may want to (1) verify the homepage/repository to ensure you trust the data source and its privacy policy, (2) remember results are informational (not legal advice) and should be independently verified for visa decisions, and (3) check the site’s terms or any API usage limits if you will rely on it heavily. Also note the small version number mismatch in metadata (harmless but worth checking if you want the latest fixes).
功能分析
Type: OpenClaw Skill Name: h1b-finder Version: 1.1.2 The h1b-finder skill is a search tool designed to help users find H1B visa sponsorship history using data from h1bfinder.com. The bundle consists entirely of metadata and instructional markdown (SKILL.md, README.md) with no executable code, obfuscation, or requests for sensitive permissions. The instructions are well-aligned with the stated purpose and include appropriate disclaimers regarding data accuracy and legal advice.
能力评估
Purpose & Capability
The skill name/description and runtime instructions align: it queries historical H1B disclosure data via h1bfinder.com. It declares the h1bfinder.com API as its data source and does not request unrelated binaries, env vars, or config paths. Minor inconsistency: SKILL.md and registry metadata show slightly different version numbers (1.1.1 vs 1.1.2), which is likely benign but worth noting.
Instruction Scope
SKILL.md provides focused instructions for sponsor lookup and result formatting. It does not instruct the agent to read local files, shell history, unrelated environment variables, or to send data to third-party endpoints other than the declared h1bfinder.com source. The guidance contains appropriate caveats (not legal advice).
Install Mechanism
There is no install spec or shipped code to execute; the skill is instruction-only. README suggests using 'npx clawhub install' which is normal user guidance and not an embedded arbitrary download. No extract/download URLs or suspicious installers are present.
Credentials
The skill requires no environment variables, credentials, or config paths. That matches the described functionality (read-only lookups against a public site). No excessive secrets or unrelated credentials are requested.
Persistence & Privilege
The skill is not marked always:true and uses default autonomous invocation settings. It does not request persistent system-wide changes or access to other skills' configs. This is proportionate for an optional lookup skill.
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 h1b-finder
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /h1b-finder 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
v1.1.2
- Removed the file agents/openai.yaml. - No public-facing features or functionality were changed.
v1.1.1
- Streamlined and clarified descriptions in both English and Chinese for easier understanding. - Updated capability bullets, best-for audience, and example queries for more practical guidance. - Improved output format section to clearly set user expectations. - Added clearer instructions for when to use the skill and how requests are handled. - Refined notes, data limitations, and legal disclaimer for better transparency.
v1.1.0
- Streamlined and updated all documentation for clarity and new use cases. - Expanded English and Chinese example queries for broader job search scenarios. - Shortened skill description and overview for faster understanding. - Added clear output expectations, best-fit user guidance, and working rules. - Replaced APPEAL documentation with a new README and agent configuration file.
v1.0.2
- Official provider domain updated from h1bfriend.com to h1bfinder.com throughout the skill. - API requirement now specifies h1bfinder.com. - Version incremented to 1.1.0. - License acceptance field added. - No changes to features or example prompts; data source and workflow remain the same.
v1.0.1
- Added a detailed use case example to clarify typical prompts and outputs. - Updated metadata structure (added homepage field). - Removed inner documentation and setup files for a cleaner repo. - Added APPEAL.md files; removed redundant SKILL.md/test files.
v1.0.0
- Initial release of H1B Finder skill providing AI-assisted H1B employer and salary intelligence. - Leverages 4M+ official Department of Labor records, including FY2025 data. - Supports sponsor ranking/filtering, salary insights, approval signal analysis, and company comparisons. - Real-time queries to structured h1bfriend.com API for data-backed analysis. - Includes bilingual (English/Chinese) documentation and example prompts. - Emphasizes privacy and informational use; not for processing personal/sensitive data.
元数据
Slug h1b-finder
版本 1.1.2
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 6
常见问题

H1B Sponsor Finder 是什么?

Find H1B / H-1B sponsor companies, visa sponsorship employers, and sponsor history for US jobs. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 392 次。

如何安装 H1B Sponsor Finder?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install h1b-finder」即可一键安装,无需额外配置。

H1B Sponsor Finder 是免费的吗?

是的,H1B Sponsor Finder 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

H1B Sponsor Finder 支持哪些平台?

H1B Sponsor Finder 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 H1B Sponsor Finder?

由 Bob(@ewangchong)开发并维护,当前版本 v1.1.2。

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