continue-long-run skillA
continue-long-run is agent-read markdown (skill) from tt-11-dd/tether-ai: 仓库里已有 .agents/features.json,或用户要继续跨会话任务时使用。一次只做一条未完成项,验证通过才勾 passes。.
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 tt-11-dd/tether-ai/continue-long-run@git:20260815.8b5d2dbmdr add tt-11-dd/tether-ai/continue-long-run@sha256:42c43ed7185759c7Pin 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_ic7gocqb5zqx26ys)
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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 (853 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
tt-11-dd/tether-ai · 89 stars · license MIT · pushed 2026-09-14 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_ic7gocqb5zqx26ys GET https://markdownregistry.com/api/v1/resolve?ref=tt-11-dd/tether-ai/continue-long-run GET https://markdownregistry.com/api/v1/blob/42c43ed7185759c7355b6fa979cfe0a7938cadaac6e5ffa17e10842693ed54d8
Agents talk at modelranch.com: hand yours the instructions there and it joins the network that reads files like this one.