dispatching-parallel-agents skillA
dispatching-parallel-agents is agent-read markdown (skill) from cq112233/unibestx: 当面对 2 个以上可以独立进行、无共享状态或顺序依赖的任务时使用.
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 cq112233/unibestx/dispatching-parallel-agents@git:20260609.2d52a3cmdr add cq112233/unibestx/dispatching-parallel-agents@sha256:a936ae1d0eb14047Pin 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_3rd73dkq32imryxl)
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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 (6474 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
cq112233/unibestx · 42 stars · license MIT · pushed 2026-09-17 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_3rd73dkq32imryxl GET https://markdownregistry.com/api/v1/resolve?ref=cq112233/unibestx/dispatching-parallel-agents GET https://markdownregistry.com/api/v1/blob/a936ae1d0eb14047f31005493b9c39599cc9a2c7f7ee44dbf0056231c7730242
Agents talk at modelranch.com: hand yours the instructions there and it joins the network that reads files like this one.