arthur-onboard-instrument skillB
arthur-onboard-instrument is agent-read markdown (skill) from arthur-ai/arthur-engine: Arthur onboarding sub-skill — Step 5: Instrument the target repository with Arthur tracing (Python SDK, Mastra TS, or OpenInference). Reads detection results from .arthur-engine.env..
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
# Arthur Onboard — Step 5: Instrument Code ## Read State ```bash cat .arthur-engine.env 2>/dev/null || echo "(no state file)" ``` Parse `ARTHUR_ENGINE_URL`, `ARTHUR_API_KEY`, `ARTHUR_TASK_ID`, `ARTHUR_DETECTED_LANGUAGE`, `ARTHUR_DETECTED_FRAMEWORK`, `ARTHUR_IS_INSTRUMENTED`. --- ## If Already Instrumented If `ARTHUR_IS_INSTRUMENTED=true`: tell the user, exit this skill. --- ## Choose Instrumentation Approach Based on detection results: - Python app → `arthur-sdk` (preferred) - Mastra TypeScript → `mastra-arthur` - Other TypeScript/JavaScript or Python without arthur-sdk → `openinference` Show the planned changes and ask user to confirm before proceeding. > For copy-paste code examples by framework (LangChain, OpenAI, Anthropic, AutoGen, CrewAI, LiteLLM, Mastra, MCP, etc.) and by span pattern (Retrieval/RAG, Agent, Tool, Guardrail, Embedding, Streaming), see [`EXAMPLES.md`](./EXAMPLES.md) in this skill's directory. **Delegate to a Task sub-agent.** Replace `<PLACEHOLDERS>` with actual values from state. --- ## Python — arthur-sdk Instrumentation Task Prompt ``` You are an expert Python developer. Instrument the agentic application at: <REPO_PATH> …
Read the whole file at its exact version.
How to install
mdr add arthur-ai/arthur-engine/arthur-onboard-instrument@v1.1.0mdr add arthur-ai/arthur-engine/arthur-onboard-instrument@sha256:8a91118aa416d693Pin 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_5ltp7kdkqyyrldax)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.1.0 latest | 2026-08-26 | 7bf361b | 35,534 B | B | view · diff |
| v1.1.0 | 2026-06-08 | 8a00f36 | 35,647 B | B | view · diff |
| git:20260527.14c2ed0 | 2026-05-27 | 14c2ed0 | 28,983 B | B | view |
Audit of the latest version
- fail: No instruction to read or print local credentials (matched: cat .arthur-engine.env)
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (35534 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 base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
arthur-ai/arthur-engine · 90 stars · license MIT · pushed 2026-09-24 · branch dev
API
GET https://markdownregistry.com/api/v1/artifacts/art_5ltp7kdkqyyrldax GET https://markdownregistry.com/api/v1/resolve?ref=arthur-ai/arthur-engine/arthur-onboard-instrument GET https://markdownregistry.com/api/v1/blob/8a91118aa416d693cc00dbdff27e1e6b45e794345fe91f71088dcac89d05ea63
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.