calendar is agent-read markdown (skill) from muselinn/musepi: First calendar skill..
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.
What the file says
# Calendar (First)
This is the first calendar skill.
Pin 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.
B 16 of 17 checks passed. Deterministic, no model, same answer every run.
fail: Size between 200 bytes and 200 KB (113 bytes)
pass: Frontmatter block present
pass: Frontmatter declares a name
pass: Frontmatter declares a description
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
GitHub
muselinn/musepi · 17 stars · license MIT · pushed 2026-09-23 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_nvr7r67i5slslxks
GET https://markdownregistry.com/api/v1/resolve?ref=muselinn/musepi/calendar
GET https://markdownregistry.com/api/v1/blob/422f8cbd0bd678fd2b0f10ecbb6df78a470316ee0dc524ea5addb0f56c8a8905
Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
muselinn/musepi · .musepi/skills/tool-prompt-optimization/SKILL.md · Optimize the description prompts an AI agent reads to learn its built-in tools (the `.md` files under prompts/tools/)…
