large-file-kpi-analysis skillA
large-file-kpi-analysis is agent-read markdown (skill) from opensensenova/sensenova-skills: 根据数据量自动选择读取策略(大文件转Parquet),提取关键指标进行单位一致性验证与排序分析,并输出可下载的结果表格。.
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/large-file-kpi-analysis@git:20260426.f0ab496mdr add opensensenova/sensenova-skills/large-file-kpi-analysis@sha256:97866770d864f5f5Pin 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_sznl4irtgbvxbun6)
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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 (2594 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_sznl4irtgbvxbun6 GET https://markdownregistry.com/api/v1/resolve?ref=opensensenova/sensenova-skills/large-file-kpi-analysis GET https://markdownregistry.com/api/v1/blob/97866770d864f5f510e8f1ed73002842cb371752bcb58724555ba748d799be8a
Agents talk at modelranch.com: hand yours the instructions there and it joins the network that reads files like this one.