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-schoolsgit 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-schools)<a href="https://agentmods.dev/skills/ssmurfgg04-gif/context-m/gaokao-recommend-schools"><img src="https://agentmods.dev/badge/skills/ssmurfgg04-gif/context-m/gaokao-recommend-schools/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-schools"><img src="https://agentmods.dev/badge/skills/ssmurfgg04-gif/context-m/gaokao-recommend-schools.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 | $0.00063 | $0.00673 |
| Opus 5 | $0.00032 | $0.00336 |
| Sonnet 5 | $0.00013 | $0.00135 |
| Haiku 4.5 | $0.00006 | $0.00067 |
Grade A, and why
gaokao-recommend-schools 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
推荐院校与理由
本 Skill 是流水线的第四步：在已确定专业方向的基础上，从 parsed.json 中推荐院校并说明理由。
上下游
- 上游：
student.json+parsed.json+major_recommendation.json - 下游：gaokao-generate-report
输入
student.json— 意向城市、家庭、就业方向等parsed.json— 院校标签、城市、冲稳保档位、录取概率major_recommendation.json— 已推荐专业及方向，用于判断院校专业契合度
Agent 分析任务
- 优先推荐包含已推荐专业或优势学科与专业方向契合的院校。
- 结合
preferred_cities、城市产业机会（可参考 career_reference.md 城市表）、院校层次（985/211/双一流等）。 - 兼顾冲/稳/保布局：核心目标放稳档，冲顶名校与保底院校均需有代表。
- 挑选 6–12 所院校，每所撰写个性化
modal推荐理由。
推荐理由应覆盖
- 地域优势：城市产业与实习就业资源
- 院校层次：标签与社会认可度
- 专业契合：与
major_recommendation.json的关联 - 录取性价比：档位与概率是否匹配考生诉求
硬性约束
recommended_schools 每项的 university_name、university_code 必须与 parsed.json 完全一致。
输出
保存为 output/school_recommendation.json，结构见 examples/school_recommendation_template.json。
{
"school_strategy": "院校布局策略（冲/稳/保如何分配）",
"recommended_schools": [
{
"university_name": "...",
"university_code": "...",
"modal": {
"title": "学校推荐原因：...",
"body": "<h4>推荐原因</h4><ul><li>...</li></ul>"
}
}
]
}
向用户交付
- 保存 JSON 绝对路径
- 用自然语言解读院校推荐逻辑与梯度布局
附加资源
- career_reference.md — 城市产业与院校层次参考
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 · 69 lines · 63 tokens per session scan A e8a57807416b
gaokao-recommend-schools is a skill published in the GitHub repository ssmurfgg04-gif/context-m (2 stars, last pushed yesterday), licensed Apache-2.0. It adds 63 tokens to every session and 673 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.
Other skills, from other repositories
ai-style
A Chinese-language writing guide for producing or revising reader-facing text such as product announcements, public-account articles, emails, and README files. It focuses on reducing patterns that make writing sound machine-generated.
triage
A task-routing guide that identifies goals, dependencies, and acceptance conditions before work begins. It orders work as research, calculation or execution, and writing.
coding
A coding guide for writing and running Python programs in a sandbox. It requires scripts to be small and reproducible, with their actual output or errors reported.
gsd-help
Show available GSD commands and usage guide.
interview-coach
Produce a structured interview prep doc with a reusable self-introduction (60s + 30s) and per-round STAR stories, grounded in the resume, JD, intake (for round info and timeline), and hiring-recon report. Output is one markdown file.
socratic-duel-run
Run Socratic Duel through two participant subagents while the launcher only coordinates and reports.