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 agentmods add skills/supremeb/oniva-ai/write_filenpx skills add supremeb/Oniva-ai --skill write_filegit clone --depth 1 https://github.com/supremeb/Oniva-aiWrote 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/supremeb/oniva-ai/write_file)<a href="https://agentmods.dev/skills/supremeb/oniva-ai/write_file"><img src="https://agentmods.dev/badge/skills/supremeb/oniva-ai/write_file.svg" alt="Measured on agentmods" 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 | $0.00019 | $0.00283 |
| Opus 5 | $0.00010 | $0.00142 |
| Sonnet 5 | $0.00004 | $0.00057 |
| Haiku 4.5 | $0.00002 | $0.00028 |
Grade A, and why
write_file 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 6d 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.
The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
What ships with it
1 file 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.
- 6d ago First seen · 53 lines · 19 tokens per session scan A 87dd6d1c64bf
write_file is a skill published in the GitHub repository supremeb/Oniva-ai (5 stars, last pushed 3mo ago), with no licence file. It adds 19 tokens to every session and 283 once invoked, about $0.0001 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.
Other skills, from other repositories
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tdoc_orchestrator
"文档创作与美化的统一编排入口（本地通道）。当用户意图涉及文档写作或排版美化时调用。职责：识别意图 → 编排 stage 能力链（S1 创作 / S2 美化 / S3 HTML→DOCX 转换）→ 委派 generateword/generateword/generateword 执行；S3 产出 .docx 后强制 系统下载卡片（自动生成） 打开预览，本 skill 调用结束。⚠️ 文档编辑不在本 skill 内承接，由 tencent-docs-routing skill 处理。不适用：纯代码文件、非文档类操作。".
doc_typeset
| 消费 design tokens + 文档内容，输出排版美化的 HTML。 内置 7 种垂类模板（合同/学术论文/公文/商务报告/会议纪要/研报/年报）和 4 个装饰组件，所有样式通过 CSS 变量引用 Token，禁止裸值。 在 generateword 流水线中每当需要将文本内容转化为结构化美化 HTML 时，必须使用此 skill； 不要自己写 HTML 或内联 CSS——doc-typeset 是内容→HTML 的唯一标准转换路径。.
html_to_docx
| 将 HTML 字符串或文件高保真转换为 Microsoft Word (.docx) 文档。 支持 CSS 变量预处理、10+ 种 HTML 元素精确映射、14 种 CSS 属性映射、中文字体、4 种装饰组件、TOC 目录、页眉页脚、图片嵌入。 提供 CLI（subprocess）和 Python API 双模式调用；在需要将 HTML 文档转为可编辑 Word 文件时使用此 skill。.
format_extract
> 把 .docx 文档转为语义化 HTML + 提取内嵌图片（标题层级、表格样式、段落缩进、字体颜色等结构信息），供调用方做后续格式分析；也可独立评估 HTML 转换质量。适用场景（技术性底层调用）："docx 转 HTML"、"提取 docx 结构为 HTML"、"HTML 转换质量评估"。本 Skill 是底层格式提取工具，不自行判断是否应被触发、不猜测输出位置——是否调用、何时调用、产物落在哪一律由上层调用方（如 generateword）决定，调用时必须显式传入 --output-dir。用户关于"文档排版 / 套模板 / 参考这份 docx 生成"等需求，应由 orchestrator 统一编排入口接管，不要旁路直点本…