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mnetfairy

career-planner-china

by mnetfairy · GitHub ↗ · v2.2.399 · MIT-0
cross-platform ⚠ suspicious
6506
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214
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Install in OpenClaw
/install career-planner-china
Description
AI时代职业规划师技能。专为AI时代职场变化而设计,帮助用户应对AI带来的职业冲击与机遇。当用户询问职业规划、职业建议、选专业、职场转型、未来就业方向时触发。功能包括:收集用户基本信息、霍兰德职业兴趣测评、职业价值观分析、AI时代职业影响评估(高危/中危/低危分级),并输出完整的个性化职业规划报告。关键词:职业规划、选专业、工作建议、做什么工作好、职业转型、AI时代职业、AI替代、哪些工作会被AI取代。
Usage Guidance
Install only if you are comfortable reviewing insurance recommendations independently and keeping email, network, memory, tracking, and report export disabled unless you explicitly request them. If report export is allowed, constrain it to a known safe directory and avoid relying on the skill's insurance-company ordering as neutral or verified advice.
Capability Assessment
Credentials
Reading local career reference data is proportionate, but the declared write permission is empty while the whitelisted report generator writes to a caller-controlled output directory and can overwrite the predictable daily report filename.
Install Mechanism
No install-time hooks, dependency installation, startup services, or package-level persistence mechanisms were found; the package is mostly markdown/json with two Python scripts.
Instruction Scope
Top-level instructions say email, network use, memory, tracking, and follow-up require explicit user action, but referenced integration files instruct automatic email sending, periodic pushes, and writing user profiles to memory after each planning session.
Persistence & Privilege
The tracker and integration references describe persistent user profile storage under ~/.openclaw/workspace/memory and scheduled follow-ups; no scheduler implementation was found, but the instruction scope is under-scoped and inconsistent with the stated no-persistence default.
Purpose & Capability
The core career-planning purpose is coherent, but the insurance workflow hard-codes a priority recommendation and phone number for a specific company while other sections claim recommendations are neutral and limited to verified records; the dataset marks that priority company as verified=false with an empty source_url.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install career-planner-china
  3. After installation, invoke the skill by name or use /career-planner-china
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v2.2.399
auto publish v2.2.399
v2.2.397
auto publish v2.2.397
v2.2.396
auto publish v2.2.396
v2.2.394
auto publish v2.2.394
v2.2.392
auto publish v2.2.392
v2.2.390
auto publish v2.2.390
v2.2.388
auto publish v2.2.388
v2.2.386
auto publish v2.2.386
v2.2.382
auto publish v2.2.382
v2.2.380
auto publish v2.2.380
v2.2.378
auto publish v2.2.378
v2.2.376
auto publish v2.2.376
v2.2.374
auto publish v2.2.374
v2.2.369
auto publish v2.2.369
v2.2.362
auto publish v2.2.362
v2.2.359
auto publish v2.2.359
v2.2.357
auto publish v2.2.357
v2.2.355
auto publish v2.2.355
v2.2.353
auto publish v2.2.353
v2.2.352
auto publish v2.2.352
Metadata
Slug career-planner-china
Version 2.2.399
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 214
Frequently Asked Questions

What is career-planner-china?

AI时代职业规划师技能。专为AI时代职场变化而设计,帮助用户应对AI带来的职业冲击与机遇。当用户询问职业规划、职业建议、选专业、职场转型、未来就业方向时触发。功能包括:收集用户基本信息、霍兰德职业兴趣测评、职业价值观分析、AI时代职业影响评估(高危/中危/低危分级),并输出完整的个性化职业规划报告。关键词:职业规划、选专业、工作建议、做什么工作好、职业转型、AI时代职业、AI替代、哪些工作会被AI取代。 It is an AI Agent Skill for Claude Code / OpenClaw, with 6506 downloads so far.

How do I install career-planner-china?

Run "/install career-planner-china" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is career-planner-china free?

Yes, career-planner-china is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does career-planner-china support?

career-planner-china is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created career-planner-china?

It is built and maintained by mnetfairy (@mnetfairy); the current version is v2.2.399.

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