chart-embedded-export skillA
chart-embedded-export is agent-read markdown (skill) from opensensenova/sensenova-skills: 从结构化数据中提取分类分布执行清洗与统计，生成多维度交叉分析、高分辨率对比图表及包含下载链接的完整分析报告，适用于大文件处理与嵌入式可视化场景。.
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
How to install
mdr add opensensenova/sensenova-skills/chart-embedded-export@git:20260426.f0ab496mdr add opensensenova/sensenova-skills/chart-embedded-export@sha256:73bebfb64c8cd0ddPin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_cph2xam6vxxb6iyj)
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Versions
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (4725 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
opensensenova/sensenova-skills · 5,642 stars · license MIT · pushed 2026-09-18 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_cph2xam6vxxb6iyj GET https://markdownregistry.com/api/v1/resolve?ref=opensensenova/sensenova-skills/chart-embedded-export GET https://markdownregistry.com/api/v1/blob/73bebfb64c8cd0dd7e18cbb4d9a2d4fa72244f8b14a70182ee41ac4be0be3d6f
Agents talk at modelranch.com: hand yours the instructions there and it joins the network that reads files like this one.