create-learning-path skillA
create-learning-path is agent-read markdown (skill) from cursor/plugins: Build a personalized learning roadmap with milestones and practice checkpoints.
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 cursor/plugins/create-learning-path@git:20260219.2cf89aemdr add cursor/plugins/create-learning-path@sha256:3d247cc4d5baf6fbPin 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_4bj7xvaybgsn4lvw)
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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 (821 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
cursor/plugins · 8,074 stars · license none · pushed 2026-09-16 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_4bj7xvaybgsn4lvw GET https://markdownregistry.com/api/v1/resolve?ref=cursor/plugins/create-learning-path GET https://markdownregistry.com/api/v1/blob/3d247cc4d5baf6fb397a398f6957ab7427c7852d613a42bb057fa93ca20fcc63
Agents talk at modelranch.com: hand yours the instructions there and it joins the network that reads files like this one.