Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/mathruffian-dot/teaching-exam-skillsnpx agentmods add skills/mathruffian-dot/teaching-exam-skills/jh-math-examWrote 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/mathruffian-dot/teaching-exam-skills/jh-math-exam)<a href="https://agentmods.dev/skills/mathruffian-dot/teaching-exam-skills/jh-math-exam"><img src="https://agentmods.dev/badge/skills/mathruffian-dot/teaching-exam-skills/jh-math-exam/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/mathruffian-dot/teaching-exam-skills/jh-math-exam"><img src="https://agentmods.dev/badge/skills/mathruffian-dot/teaching-exam-skills/jh-math-exam.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00215 | $0.09869 |
| Opus 5 | $0.00108 | $0.04934 |
| Sonnet 5 | $0.00043 | $0.01974 |
| Haiku 4.5 | $0.00021 | $0.00987 |
Grade A, and why
jh-math-exam scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 671 lines — stays where its author put it; the contents beside it link to each section on GitHub.
國中數學段考命題審題技能
技能概覽
本技能支援兩種模式，協助教師完成國中數學段考的完整命題與審題流程：
模式 A：出題模式（全新命題）
- 需求訪談 — 確認年級、範圍、題型、配分
- 規劃雙向細目表 — 章節 × 認知層次比例
- 生成題目 — 按 Bloom 四級分類產出
- 幾何圖形渲染 — 若有幾何題，自動呼叫 jh-math-geometry 技能的渲染腳本產生配圖 PNG
- 格式輸出 — 題目卷、答案卷、雙向細目表（三份 Word），幾何圖自動插入對應位置
模式 B：審題模式（審核現有考卷）
- 接收考卷 — 使用者貼入文字或上傳圖片/Word
- 逐題審查 — 判定 Bloom 層次、section 歸屬、答案與題目品質
- 輸出分級報告 — 顯示統計與偏差提示
- 格式輸出 — 僅產出雙向細目表（一份 Word）
環境約定（所有 Step 共用）
本技能不假設任何特定沙箱或工具名稱，路徑一律依下列約定：
| 名稱 | 意義 |
|---|---|
本技能目錄（$SKILL_DIR） |
這份 SKILL.md 所在的資料夾 |
output/ |
當前工作目錄下的產出資料夾：中間檔（exam_data.json、幾何圖）與最終 Word 都放這裡 |
$GEOM_DIR |
jh-math-geometry 技能的 scripts/：同 repo 的 skills/jh-math-geometry/scripts/，或已安裝的 jh-math-geometry 技能 |
SKILL_DIR="<本技能目錄的絕對路徑>" # 例：~/.claude/skills/jh-math-exam
mkdir -p output
# 幾何腳本位置：同 repo 的 skills/jh-math-geometry/，或已安裝的 jh-math-geometry 技能
GEOM_DIR=""
for d in "$SKILL_DIR/../jh-math-geometry/scripts" "$HOME/.claude/skills/jh-math-geometry/scripts"; do
[ -f "$d/geometry_renderer.py" ] && GEOM_DIR="$d" && break
done
echo "幾何腳本目錄：${GEOM_DIR:-（找不到，幾何題將無法配圖）}"
python3 -m pip install -q python-docx lxml cairosvg # 首次使用安裝一次；Linux 系統 Python 拒絕時加 --break-system-packages
- Windows 若沒有
python3指令，把下文的python3換成python；Bash 片段請在 Git Bash／WSL 執行。- 文中的「視覺確認」一律指讀取檔案（用你的檔案讀取工具開啟
.svg／.png），不依賴任何特定工具。- 產出留在
output/，完成後在對話中列出檔案路徑即可，不需再複製到別處。
處理流程
Step 1：需求確認（必做）
向使用者確認以下資訊（未提供則詢問）：
| 項目 | 說明 |
|---|---|
| 年級 | 七年級 / 八年級 / 九年級 |
| 學期 & 次別 | 第一學期第三次段考 等 |
| 考試範圍 | 章節名稱 + 版本（翰林版 / 康軒版 / 南一版） |
| 題型需求 | 選擇題幾題、非選擇題幾題、配分 |
| 難度目標 | 參考 Bloom 各級比例，或教師自訂 |
| 模式 | A. 出題（全新產出題目卷+答案卷+細目表） / B. 審題（審核現有考卷，只產細目表） |
Step 2：建立雙向細目表
雙向細目表格式（本技能內建，不需外部檔案）：
- 縱軸：教材章節（依考試範圍列出各節名稱，如「1-1 等差數列」）
- 橫軸：認知層次（記憶 / 理解 / 應用 / 分析）
- 細格：
分數（題數），例如6（2）；最右欄「小計」，最下兩列「合計」與「百分比」 - 表頭：學年度、學期、年級、次別、考試範圍；需要時加「對應課綱」欄（學習內容代碼 N/A/S/F/D，請上網查教育部十二年國教數學領綱）
| 章節 \ 層次 | 記憶 | 理解 | 應用 | 分析 | 小計 |
|---|---|---|---|---|---|
| 1-1 等差數列 | 4（1） | 8（2） | 12（3） | 6（2） | 30（8） |
| … | |||||
| 合計 | 10 | 20 | 40 | 30 | 100 |
| 百分比 | 10% | 20% | 40% | 30% | 100% |
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.
- 7d ago Changed · -176 lines 4169804e6110
- 11d ago First seen · 847 lines · 215 tokens per session scan A a5271b2137ea
jh-math-exam is a skill published in the GitHub repository mathruffian-dot/teaching-exam-skills (5 stars, last pushed 7d ago), licensed MIT. It adds 215 tokens to every session and 9,869 once invoked, about $0.0011 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 2026-08-31.
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