langsmith-observability SKILL.md skillA
langsmith-observability from orchestra-research/ai-research-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add orchestra-research/ai-research-skills/langsmith-observability@v1.0.0Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- orchestra-research/ai-research-skills
- Path
17-observability/langsmith/SKILL.md- Versions recorded
- 1
- Latest version
- v1.0.0, committed Nov 25, 2025
- Size
- 9,693 bytes
- Repository stars
- 13,718
- License
- MIT
LLM observability platform for tracing, evaluation, and monitoring. Use when debugging LLM applications, evaluating model outputs against datasets, monitoring production systems, or building systematic testing pipelines for AI applications.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# LangSmith - LLM Observability Platform Development platform for debugging, evaluating, and monitoring language models and AI applications. ## When to use LangSmith **Use LangSmith when:** - Debugging LLM application issues (prompts, chains, agents) - Evaluating model outputs systematically against datasets - Monitoring production LLM systems - Building regression testing for AI features - Analyzing latency, token usage, and costs - Collaborating on prompt engineering **Key features:** - **Tracing**: Capture inputs, outputs, latency for all LLM calls - **Evaluation**: Systematic testing with built-in and custom evaluators - **Datasets**: Create test sets from production traces or manually - **Monitoring**: Track metrics, errors, and costs in production - **Integrations**: Works with OpenAI, Anthropic, LangChain, LlamaIndex **Use alternatives instead:** - **Weights & Biases**: Deep learning experiment tracking, model training - **MLflow**: General ML lifecycle, model registry focus - **Arize/WhyLabs**: ML monitoring, data drift detection ## Quick start ### Installation ```bash pip install langsmith # Set environment variables export LANGSMITH_API_KEY="your-api-key" …
Read the whole file at its exact version.
How to install
mdr add orchestra-research/ai-research-skills/langsmith-observability@sha256:3611688a297b95bdThe line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_dplwiimgzm2fov3i)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Nov 25, 2025.
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 (9693 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
orchestra-research/ai-research-skills · 13,718 stars · license MIT · pushed 2026-10-11 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_dplwiimgzm2fov3i GET https://markdownregistry.com/api/v1/resolve?ref=orchestra-research/ai-research-skills/langsmith-observability GET https://markdownregistry.com/api/v1/blob/3611688a297b95bd8695cdaa9e9f12db4c7cda6c94a4ae82e55f99fa6cbf7f53
Your AI assistant 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.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.