card-qa-checklist skillA
card-qa-checklist is agent-read markdown (skill) from helixnow/deep-student: 卡片质检清单:重复(D1-D3)、粒度(G1-G4)、Cloze 规范(C1-C6)三类规则的判定标准、严重级别与补丁输出格式.
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 helixnow/deep-student/card-qa-checklist@v0.1.0mdr add helixnow/deep-student/card-qa-checklist@sha256:54738f2b6eafc8c9Pin 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_2u7xxrcqzvm34n2q)
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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 (2589 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
helixnow/deep-student · 265 stars · license AGPL-3.0 · pushed 2026-09-17 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_2u7xxrcqzvm34n2q GET https://markdownregistry.com/api/v1/resolve?ref=helixnow/deep-student/card-qa-checklist GET https://markdownregistry.com/api/v1/blob/54738f2b6eafc8c9ed23577d4991216c966026d4d36df529965ea7b7001c2eeb
Agents talk at modelranch.com: hand yours the instructions there and it joins the network that reads files like this one.