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gaokao-generate-report

gaokao-generate-report is a skill for Claude Code, Codex from ssmurfgg04-gif/context-m. It costs 67 tokens per session (566 once invoked), scanned A, original, Apache-2.0.

A report-generation skill that combines student information, admissions choices, major recommendations, and university recommendations into an HTML file. The report includes analysis and reach, target, and safety lists.

In plain words
What is it for?
Use it to produce a visual university-application plan that presents strategy, recommended programs, and recommended universities.
Why use it?
It removes the work of merging several JSON files and formatting them into a readable admissions report. It also checks that recommended schools and majors match the source data.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 2repo yesterday A scan 67 tokens original Apache-2.0

Good fit Use it to produce a visual university-application plan that presents strategy, recommended programs, and recommended universities.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ssmurfgg04-gif/context-m/gaokao-generate-report
View source ↗ ssmurfgg04-gif/context-m
Install

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.

Any agent
npx skills add ssmurfgg04-gif/context-m --skill gaokao-generate-report
Clone the repo
git clone --depth 1 https://github.com/ssmurfgg04-gif/context-m

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for gaokao-generate-report

README.md
[![agentmods](https://agentmods.dev/badge/skills/ssmurfgg04-gif/context-m/gaokao-generate-report/github.svg)](https://agentmods.dev/skills/ssmurfgg04-gif/context-m/gaokao-generate-report)
Your own site
<a href="https://agentmods.dev/skills/ssmurfgg04-gif/context-m/gaokao-generate-report"><img src="https://agentmods.dev/badge/skills/ssmurfgg04-gif/context-m/gaokao-generate-report/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.

agentmods 80×15 button for gaokao-generate-report

Your own site · 80×15
<a href="https://agentmods.dev/skills/ssmurfgg04-gif/context-m/gaokao-generate-report"><img src="https://agentmods.dev/badge/skills/ssmurfgg04-gif/context-m/gaokao-generate-report.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 67 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 566 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00067 $0.00566
Opus 5.5 $0.00027 $0.00226
Sonnet 5.5 $0.00013 $0.00113
Haiku 4.5 $0.00007 $0.00057

Measured 2mo ago against content hash b5bf1112bc7d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

gaokao-generate-report 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 2mo ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/generate_html.py, scripts/merge_analysis.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/gaokao-generate-report/SKILL.md · 70 lines

What it actually says

生成志愿填报报告

本 Skill 是流水线的第五步：合并前序 JSON，渲染 HTML 报告。

上下游

  • 上游：
    • parsed.json（志愿列表）
    • major_recommendation.json（专业推荐）
    • school_recommendation.json（院校推荐）
  • 输出：volunteer_report.html

环境准备

cd gaokao-generate-report
python3 -m venv .venv && source .venv/bin/activate
pip install -r requirements.txt

执行步骤

1. 合并为 analysis.json

python3 scripts/merge_analysis.py \
  --majors output/major_recommendation.json \
  --schools output/school_recommendation.json \
  -o output/analysis.json

merge_analysis.py 将专业推荐与院校推荐合并为 generate_html.py 所需的 analysis.json 结构。

2. 生成 HTML

python3 scripts/generate_html.py \
  -i output/parsed.json \
  -a output/analysis.json \
  -o output/volunteer_report.html

3. 交付用户

提供 volunteer_report.html 的绝对路径，并简要说明报告结构：

  1. 综合测评与建议（专业方向 + 院校策略）
  2. 志愿推荐列表（冲/稳/保，⭐ 推荐学校 / 🔥 推荐专业可点击查看详情）

合并前检查

检查项 说明
专业字段一致 recommended_majors 的 name/code 与 parsed.json 一致
院校字段一致 recommended_schools 的 name/code 与 parsed.json 一致
文案完整 intro、strategy、school_strategy 非空

若合并前发现推荐字段不匹配，应回到对应 Skill 修正 JSON。

附加资源

Files

What ships with it

5 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.

Changes

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.

  1. 2mo ago First seen · 70 lines · 67 tokens per session scan A b5bf1112bc7d

Subscribe to this mod's changes

gaokao-generate-report is a skill published in the GitHub repository ssmurfgg04-gif/context-m (2 stars, last pushed yesterday), licensed Apache-2.0. It adds 67 tokens to every session and 566 once invoked, about $0.0003 per session on Opus 5.5. 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.

DocumentsLearning and teachingagent-memorybi-temporalchromacontext-engineeringmcpvector-symbolic-architecture
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