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 zrtch/awesome-skills --skill academic-formula-convertergit clone --depth 1 https://github.com/zrtch/awesome-skillsWrote 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/zrtch/awesome-skills/academic-formula-converter)<a href="https://agentmods.dev/skills/zrtch/awesome-skills/academic-formula-converter"><img src="https://agentmods.dev/badge/skills/zrtch/awesome-skills/academic-formula-converter/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/zrtch/awesome-skills/academic-formula-converter"><img src="https://agentmods.dev/badge/skills/zrtch/awesome-skills/academic-formula-converter.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 | $0.00000 | $0.00352 |
| Opus 5 | $0.00000 | $0.00176 |
| Sonnet 5 | $0.00000 | $0.00070 |
| Haiku 4.5 | $0.00000 | $0.00035 |
Grade A, and why
academic-formula-converter 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 11d 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
academic-formula-converter
学术论文数学公式转换工具 - 将Markdown中的LaTeX公式转换为docx和html格式
功能
- LaTeX公式转Unicode - 将LaTeX格式转换为可读性更好的Unicode符号
- 生成Word文档 - 支持图片和公式的docx文件
- 生成HTML文档 - 带样式的HTML文件
触发关键词
- "公式转换"
- "数学公式"
- "LaTeX转docx"
- "论文公式"
- "formula converter"
- "academic formula"
使用方法
命令行
# 基本转换
python3 /path/to/formula_converter.py input.md output.docx
# 转换为HTML
python3 /path/to/formula_converter.py input.md output.html
# 指定图片目录
python3 /path/to/formula_converter.py input.md output.docx --images /path/to/images/
支持的公式
- 行内公式:
$formula$ - 块公式:
$$formula$$
LaTeX到Unicode转换示例
| LaTeX | Unicode |
|---|---|
| \times | × |
| \frac{a}{b} | (a)/(b) |
| \alpha | α |
| \sigma | σ |
| \leq | ≤ |
| \geq | ≥ |
| \sum | Σ |
| \sqrt{} | √() |
| \infty | ∞ |
依赖
pip install python-docx markdown
What ships with it
3 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.
- 11d ago First seen · 59 lines · 0 tokens per session scan A 59e16a7896e9
academic-formula-converter is a skill published in the GitHub repository zrtch/awesome-skills (2 stars, last pushed 5mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 352 tokens. 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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