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升学规划助手

v1.0.0

中国高考升学规划助手。提供新高考选科指导、志愿填报建议、院校专业查询、录取分数线参考、高考政策解读。适用于高中生、家长和教师进行升学规划。支持家用（纯知识库）和商用（API扩展）双模式。触发器：用户提出高考/选科/志愿/录取/分数线相关问题时使用。

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by@yezhaowang888-stack

Install

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Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for yezhaowang888-stack/college-admission-assistant.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "升学规划助手" (yezhaowang888-stack/college-admission-assistant) from ClawHub.
Skill page: https://clawhub.ai/yezhaowang888-stack/college-admission-assistant
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

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openclaw skills install college-admission-assistant

ClawHub CLI

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npx clawhub@latest install college-admission-assistant
Security Scan
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Requires sensitive credentials
These labels describe what authority the skill may exercise. They are separate from suspicious or malicious moderation verdicts.
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high confidence
✓
Purpose & Capability
Name/description match the provided files: a knowledge base (references/) plus two small local analysis scripts used for score and subject analysis. The optional environment variables (COLLEGE_ADMISSION_API_URL, COLLEGE_ADMISSION_API_KEY) are appropriate for the documented '商用模式' (real-time API integration). No unrelated credentials, binaries, or platform-level config paths are requested.
✓
Instruction Scope
SKILL.md confines runtime behavior to: (1) using the built-in references/, (2) calling the provided local scripts for score/subject analysis, and (3) optionally calling a user-configured API when commercial mode is enabled. The instructions explicitly include safety rules (data provenance, not fabricating data, privacy filtering). There is no guidance to read arbitrary system files, access other skills' configs, or send data to undeclared endpoints beyond the configurable API.
✓
Install Mechanism
No install spec and included files are plain text and small Python scripts. Nothing in the manifest downloads or extracts external code. This is a low-risk, instruction-and-asset-only package.
✓
Credentials
No required environment variables by default. The only declared env vars are the optional COLLEGE_ADMISSION_API_URL and COLLEGE_ADMISSION_API_KEY to enable commercial live-data features—these match the described purpose. No extraneous secrets or unrelated credentials are requested.
✓
Persistence & Privilege
The skill is not marked always:true and uses the platform defaults for invocation. It does not request system-level persistence, nor does it modify other skills' configurations. Autonomous invocation is allowed by default (platform norm) but is not combined with other concerning privileges here.
Assessment
This skill appears coherent and self-contained: by default it runs offline using the bundled references and two small Python scripts (no network). Only enable '商用模式' if you trust the external API endpoint you provide and are willing to supply its API key. Do not paste or ask the skill to process personally identifiable exam scores or identity documents unless you trust the environment—the skill's docs say it should filter sensitive info, but you should still avoid sharing unnecessary personal data. Note minor documentation inconsistencies (e.g., it lists 7精细省份 but enumerates 8) which are non-security but indicate the repo could use a quick editorial pass. If you plan to use commercial mode, verify the third-party API's privacy, retention, and security practices before providing credentials.

Like a lobster shell, security has layers — review code before you run it.

admissionvk97c278yk23z29ss30sbab475185np0xcollegevk97c278yk23z29ss30sbab475185np0xeducationvk97c278yk23z29ss30sbab475185np0xgaokaovk97c278yk23z29ss30sbab475185np0xlatestvk97c278yk23z29ss30sbab475185np0x
48downloads
0stars
1versions
Updated 1d ago
v1.0.0
MIT-0
@yezhaowang888-stack
admissioncollegeeducationgaokaolatest
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升学规划助手

概述

本Skill提供中国高考升学规划全链路支持，涵盖选科指导、志愿填报、院校查询、分数分析和政策解读。

两种使用模式：

  • 家用模式（默认）：使用内置知识库回答，零配置，离线可用
  • 商用模式：配置API端点后，对接实时招生数据和院校信息

快速开始

用户典型的提问方式：

"我是江苏物理类考生，估分580，能报什么学校？" "新高考选科，物化生和物化地哪个组合好？" "浙江考生655分，全省排名多少能上浙大？" "介绍一下山东的高考政策"

核心处理流程

  1. 识别省份和考生类型 → 确认用户所在省份、选科/文理科
  2. 定位问题类型：选科指导 / 志愿填报 / 院校查询 / 分数分析 / 政策解读
  3. 查询内置知识库 → 返回对应数据或指南
  4. 如有商用API配置 → 可获取实时分数线/排名数据
  5. 回退机制：API调用失败时自动使用知识库回答

核心功能

1. 选科指导（新高考）

参考 references/xinkao-guide.md 中的选科组合分析。

核心建议规则：

  • "物理+化学"组合覆盖绝大多数理工农医专业（>95%覆盖率）
  • 没有明确专业方向的学生，推荐"物理+化学+X"组合保专业覆盖率
  • 偏文科推荐"历史+政治+地理"或"历史+政治+生物"

2. 志愿填报

参考各省份精细数据文件（位于 references/provinces/）。

7个精细省份：

  • 江苏、浙江、山东、北京、上海、河南、河北、湖北
  • 含往年录取分数范围、选科要求、院校层次

其余省份： 列出基本信息，标注"该省份详细数据更新中"

3. 院校查询

参考 references/universities.md 中的院校信息。

  • C9院校：顶级联盟详情
  • 985/211/双一流：层次划分和特点
  • 各省代表性院校：按省分类
  • 学科评估：A+/A/A-学科分布

4. 分数分析

提供以下分析能力：

  • 分数段对应的院校层次建议
  • 位次与等效分的换算方法
  • 大小年分析框架
  • 冲稳保志愿梯度建议（推荐比例：30%冲刺 + 50%稳妥 + 20%保底）

5. 政策解读

参考 references/policies.md 中的政策知识库。

覆盖政策范围：

  • 新高考改革政策
  • 强基计划
  • 综合评价招生
  • 专项计划（国家/地方/高校专项）
  • 艺术类/体育类招考

家用/商用模式配置

家用模式（默认）

无需任何配置，直接使用内置知识库。

商用模式（API扩展）

用户可通过配置环境变量启用实时数据：

COLLEGE_ADMISSION_API_URL: "https://your-api-endpoint"
COLLEGE_ADMISSION_API_KEY: "your-api-key"

商用模式下支持：

  • 实时录取分数线查询
  • 最新招生计划数据
  • 学校排名动态更新
  • 个性化志愿推荐算法

资源文件说明

references/

  • xinkao-guide.md — 新高考选科指导完整指南
  • universities.md — 院校信息数据库
  • policies.md — 高考政策知识库
  • provinces/ — 各省份精细数据目录
    • jiangsu.md, zhejiang.md, shandong.md ...（精细省份）

scripts/

  • score-analyzer.py — 分数分析和志愿梯度计算工具
  • subject-analyzer.py — 选科组合覆盖率计算工具

安全注意事项

  1. 数据来源标注：所有分数线和排名数据必须标注来源和年份
  2. 不确定信息声明：在返回非精细省份数据时，必须附加"该省份数据更新中"提示
  3. 不编造数据：没有准确数据时返回"暂无准确数据"，不提供估算值
  4. 敏感信息过滤：不输出任何个人隐私信息、非公开招生数据
  5. 免责声明：升学规划建议仅供参考，最终以各省教育考试院官方信息为准

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