Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add ssmurfgg04-gif/context-m --skill gaokao-recommend-majorsgit clone --depth 1 https://github.com/ssmurfgg04-gif/context-mWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/ssmurfgg04-gif/context-m/gaokao-recommend-majors)<a href="https://agentmods.dev/skills/ssmurfgg04-gif/context-m/gaokao-recommend-majors"><img src="https://agentmods.dev/badge/skills/ssmurfgg04-gif/context-m/gaokao-recommend-majors/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/ssmurfgg04-gif/context-m/gaokao-recommend-majors"><img src="https://agentmods.dev/badge/skills/ssmurfgg04-gif/context-m/gaokao-recommend-majors.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00062 | $0.00700 |
| Opus 5 | $0.00031 | $0.00350 |
| Sonnet 5 | $0.00012 | $0.00140 |
| Haiku 4.5 | $0.00006 | $0.00070 |
Grade A, and why
gaokao-recommend-majors scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
推荐专业与就业方向
本 Skill 是流水线的第三步：纯 Agent 分析，无规则脚本。结合考生兴趣、成绩、就业意向与 parsed.json 中的真实专业，产出个性化专业推荐。
上下游
- 上游：
student.json+parsed.json（来自信息采集与获取志愿） - 下游：gaokao-recommend-schools 读取
major_recommendation.json
输入
student.json— 考生完整画像parsed.json— 冲/稳/保志愿及每校majors（含claim选科要求、录取概率）
Agent 分析任务
- 阅读 career_reference.md 了解常见专业大类与就业出口（参考，非硬规则）。
- 综合选科要求、各科成绩、兴趣、家庭、就业方向，判断 2–4 个专业方向（
major_directions）。 - 从
parsed.json中挑选 8–15 个最契合的具体专业，写入recommended_majors。 - 撰写综合开篇
intro与整体策略strategy（专业优先视角）。
硬性约束
recommended_majors 每项的 university_name、university_code、major_name、major_code 必须与 parsed.json 完全一致，否则最终报告无法显示 🔥 标签。
生成前在 parsed.json 中检索确认字段值。
输出
保存为 output/major_recommendation.json，结构见 examples/major_recommendation_template.json。
{
"student": { "...辅助画像字段..." },
"intro": "综合测评开篇（HTML 可用 <strong>）",
"strategy": "填报策略（专业视角）",
"major_directions": [
{ "icon": "🧑💻", "title": "...", "match_level": "极高", "description": "..." }
],
"recommended_majors": [
{
"major_name": "...",
"major_code": "...",
"university_name": "...",
"university_code": "...",
"modal": { "title": "...", "body": "<h4>...</h4><ul>...</ul>" }
}
]
}
向用户交付
- 保存 JSON 绝对路径
- 用自然语言解读推荐的专业方向与 Top 专业理由
附加资源
- career_reference.md — 专业/职业方向参考
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 67 lines · 62 tokens per session scan A 837ec536d96c
gaokao-recommend-majors is a skill published in the GitHub repository ssmurfgg04-gif/context-m (2 stars, last pushed yesterday), licensed Apache-2.0. It adds 62 tokens to every session and 700 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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