kitaru-adapter-builder skillA
kitaru-adapter-builder is agent-read markdown (skill) from zenml-io/kitaru-skills: Select a supported Kitaru adapter or build a project-local one for an unsupported Python or TypeScript agent framework. Use when a user wants to record or replay framework-native agent runs in Kitaru, needs a custom adapter, has no supported Kitaru integration for their framework, or needs to assess whether public framework hooks and the installed Kitaru SDK can support an adapter..
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
# Kitaru adapter builder First select the smallest honest supported integration. Build an adapter inside the user's project only when no supported route meets the requested recording and replay boundary. Preserve the framework's public entrypoint and report exactly what the selected or custom adapter can observe, record, replay, and recover from. Do not assume every framework can support the same fidelity. A useful result is either a locally tested adapter or a precise blocker tied to the installed versions and public hooks. ## Core contract - Start with read-only inspection of the user's project and installed packages. - Prefer supported Kitaru adapters, importers, or OTLP export when they meet the requested recording and replay needs. Do not create a duplicate integration. - For an already instrumented Python agent using Langfuse, Braintrust, LangSmith, Logfire, or Arize Phoenix, check the provider's importer-backed adapter before proposing custom code. Read [the Python adapter reference](references/python-adapters.md) for the package and capability contract. - Treat the user's installed SDK and framework as authority. Use Kitaru reference …
Read the whole file at its exact version.
How to install
mdr add zenml-io/kitaru-skills/kitaru-adapter-builder@git:20260902.d9aba70mdr add zenml-io/kitaru-skills/kitaru-adapter-builder@sha256:531bb0665e9d9abePin 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_re3rwaezfd3lr4tm)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260902.d9aba70 latest | 2026-09-02 | d9aba70 | 10,570 B | A | view · diff |
| git:20260817.b7bf958 | 2026-08-17 | b7bf958 | 9,656 B | A | view · diff |
| git:20260817.7044685 | 2026-08-17 | 7044685 | 9,441 B | A | view · diff |
| git:20260813.cba0d66 | 2026-08-13 | cba0d66 | 9,274 B | A | view · diff |
| git:20260810.2573808 | 2026-08-10 | 2573808 | 9,537 B | A | view |
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 (10570 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
zenml-io/kitaru-skills · 5 stars · license Apache-2.0 · pushed 2026-09-21 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_re3rwaezfd3lr4tm GET https://markdownregistry.com/api/v1/resolve?ref=zenml-io/kitaru-skills/kitaru-adapter-builder GET https://markdownregistry.com/api/v1/blob/531bb0665e9d9abef65f012f3e2775ca73d6383c31d453ca4aa4e750b2f385c9
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.