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 woodfishhhh/EZ_math_model --skill minerugit clone --depth 1 https://github.com/woodfishhhh/EZ_math_modelWrote 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/woodfishhhh/ez_math_model/mineru)<a href="https://agentmods.dev/skills/woodfishhhh/ez_math_model/mineru"><img src="https://agentmods.dev/badge/skills/woodfishhhh/ez_math_model/mineru/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/woodfishhhh/ez_math_model/mineru"><img src="https://agentmods.dev/badge/skills/woodfishhhh/ez_math_model/mineru.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 | $0.00086 | $0.00816 |
| Opus 5 | $0.00043 | $0.00408 |
| Sonnet 5 | $0.00017 | $0.00163 |
| Haiku 4.5 | $0.00009 | $0.00082 |
Grade A, and why
mineru 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
mineru — PDF 高质量解析
何时使用
- 题目 PDF 含中文 + 表格 + 公式（pdfplumber 输出乱序时）
- 阅读
external/zhanwen-mathmodel/下的优秀论文 - 转换 docx / pptx 为 markdown
入口
本子 skill 不自带 Python 实现；调用宿主已安装的 mineru-open-api CLI
或 mineru Python 包。详细 CLI 文档见 mineru 官方 skill。
模式选择决策树
文件 ≤ 10MB 且 ≤ 20页 且 不需表格识别
→ flash-extract（零配置、最快）
文件 > 10MB 或 > 20页 或 需要表格 / 公式 / OCR
→ extract（要 token，注册免费领）
→ 备用：本地 CLI mineru（开源，自动下载模型）
命令模板
# Flash 模式（推荐起手）
mineru-open-api flash-extract problem.pdf -o workdir/.../out --language ch
# 限页（>20 页时）
mineru-open-api flash-extract problem.pdf -o workdir/.../out --language ch --pages 1-20
# Extract 精确模式（需 token；写入 EZMM_MINERU_TOKEN）
mineru-open-api auth # 一次性配置
mineru-open-api extract problem.pdf -o workdir/.../out --language ch --table --formula
# 本地 CLI（无 token，开源版）
pip install -U mineru
mineru -p problem.pdf -o workdir/.../out
入参约定
| 参数 | 默认 | 说明 |
|---|---|---|
--language |
ch |
中文文档；英文用 en；混合 ch_server |
--pages |
全部 | flash 模式下题目 > 20 页时按 1-20 分批 |
-o |
stdout | 写入指定目录（推荐）；不写参数则 markdown 走 stdout |
配置
| Env Var | 必需 | 用途 |
|---|---|---|
EZMM_MINERU_TOKEN |
extract 模式必需 | 注册免费领，flash 不需要 |
失败诊断
| 错误 | 原因 | 处理 |
|---|---|---|
file page count exceeds API limit |
flash 限 20 页 | 加 --pages 1-20；或换 extract（要 token） |
TLS handshake timeout |
网络抖动 | 重试 1 次；仍失败降级 pdfplumber |
no API token found |
extract 缺 token | 调 mineru-open-api auth 或 fallback flash |
输出 Markdown 含大量 <!-- image --> |
论文图片占位 | 正常；只对文字部分有效 |
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 · 78 lines · 86 tokens per session scan A 682a5ebc90c6
mineru is a skill published in the GitHub repository woodfishhhh/EZ_math_model (41 stars, last pushed 1mo ago), licensed MIT. It adds 86 tokens to every session and 816 once invoked, about $0.0004 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 2026-08-30.
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