phoenix-observability SKILL.md skillA
phoenix-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/phoenix-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/phoenix/SKILL.md- Versions recorded
- 1
- Latest version
- v1.0.0, committed Nov 25, 2025
- Size
- 11,466 bytes
- Repository stars
- 13,718
- License
- MIT
Open-source AI observability platform for LLM tracing, evaluation, and monitoring. Use when debugging LLM applications with detailed traces, running evaluations on datasets, or monitoring production AI systems with real-time insights.
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
# Phoenix - AI Observability Platform Open-source AI observability and evaluation platform for LLM applications with tracing, evaluation, datasets, experiments, and real-time monitoring. ## When to use Phoenix **Use Phoenix when:** - Debugging LLM application issues with detailed traces - Running systematic evaluations on datasets - Monitoring production LLM systems in real-time - Building experiment pipelines for prompt/model comparison - Self-hosted observability without vendor lock-in **Key features:** - **Tracing**: OpenTelemetry-based trace collection for any LLM framework - **Evaluation**: LLM-as-judge evaluators for quality assessment - **Datasets**: Versioned test sets for regression testing - **Experiments**: Compare prompts, models, and configurations - **Playground**: Interactive prompt testing with multiple models - **Open-source**: Self-hosted with PostgreSQL or SQLite **Use alternatives instead:** - **LangSmith**: Managed platform with LangChain-first integration - **Weights & Biases**: Deep learning experiment tracking focus - **Arize Cloud**: Managed Phoenix with enterprise features - **MLflow**: General ML lifecycle, model registry focus ## Quick start …
Read the whole file at its exact version.
How to install
mdr add orchestra-research/ai-research-skills/phoenix-observability@sha256:111bd54f145ca573The 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_gubstobeoqnfqwe7)
2 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 (11466 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_gubstobeoqnfqwe7 GET https://markdownregistry.com/api/v1/resolve?ref=orchestra-research/ai-research-skills/phoenix-observability GET https://markdownregistry.com/api/v1/blob/111bd54f145ca57360f7e6f08f95202e937ac134e3dbf486a51cbaa008546e2b
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.