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Agent skill

Phoenix Sqlean

by Arize-ai in Arize-ai/phoenix

Maintaining packages/phoenix-sqlean, the vendored fork of nalgeon/sqlean.py published as arize-phoenix-sqlean.

Custom licenceAuto-check passedAI & LLM Engineering

Install Phoenix Sqlean

skills CLI
$ npx skills add Arize-ai/phoenix --skill phoenix-sqlean -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Arize-ai/phoenix phoenix-sqlean --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Arize-ai/phoenix.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/phoenix-sqlean .claude/skills/phoenix-sqlean && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
phoenix-sqlean
GitHub stars
12k
Token cost
~1.7k tokens
SKILL.md length
795 words
Files
1
Skills in repo
39
Repo updated
First seen
Licence
Custom licence

At a glance

Maintaining packages/phoenix-sqlean, the vendored fork of nalgeon/sqlean.py published as arize-phoenix-sqlean.

  • Bumping the bundled SQLite
  • SKILL.md covers Bumping a bundled version, Staying current, Gotchas and Wheels and publishing
  • Calls python, make and git
  • XxHash versions

What it does

Phoenix Sqlean is an agent skill from Arize-ai/phoenix. Maintaining packages/phoenix-sqlean, the vendored fork of nalgeon/sqlean.py published as arize-phoenix-sqlean. Use when bumping the bundled SQLite, sqlean, or xxHash versions, changing its wheel matrix, or touching its publish path. Trigger on any change under packages/phoenix-sqlean/, .github/workflows/phoenix-sqlean-.yml, or the sqlean jobs in .github/workflows/publish.yaml.

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in AI & LLM Engineering, covering LLM observability. It works with Arize Phoenix, SQLite, GitHub Actions and Git. The repository describes itself as: AI Observability & Evaluation.

When your agent uses it

  • Bumping the bundled SQLite
  • XxHash versions
  • Changing its wheel matrix
  • Touching its publish path

Example prompts

  • “/phoenix-sqlean”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit 52f76fc. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • python
    • make
    • git

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • github.com
    • sqlite.org

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Phoenix Sqlean loads about 1.7k tokens when it runs. Until then it costs about 99 tokens; SKILL.md has 795 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~99
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 795 words (~1,713 tokens).

name
phoenix-sqlean
user-invocable
false
metadata.internal
true

Read the full SKILL.md on GitHub

Files

Just SKILL.md in .agents/skills/phoenix-sqlean of Arize-ai/phoenix.

Open the folder on GitHubat commit 52f76fc

Compare with similar skills

Phoenix Sqlean next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Phoenix Sqlean compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Phoenix Sqlean this skillArize-ai/phoenix12k—~1.7kAutomated safety check: PassCustom licence
Phoenix LLM ObservabilityOrchestra-Research/AI-Research-SKILLs13k2 repos~2.9kAutomated safety check: PassMIT
Source Command Dev Docs SyncNetis/heron102—~1.4kAutomated safety check: PassApache-2.0
Phx Recalloliver-kriska/claude-elixir-phoenix565—~869Automated safety check: PassMIT
LLM Trace Review Interfaceai-evals-course/evals-skills1.5k—~1.4kAutomated safety check: PassApache-2.0
Create Repo Agentlangfuse/langfuse36k—~730Automated safety check: PassCustom licence

Similar skills

  • Phoenix LLM Observability

    Orchestra-Research/AI-Research-SKILLs

    Sets up Arize Phoenix to trace, evaluate and monitor LLM applications, with instrumentation for OpenAI, LangChain and LlamaIndex and a self-hosted server.

    13k GitHub starsUsed in 2 repos~2.9k tokens
    AI & LLM EngineeringAuto-check passed

  • Source Command Dev Docs Sync

    Netis/heron

    Sync documentation with project state using ICAV workflow. An agent skill from Netis/heron.

    102 GitHub stars~1.4k tokensUpdated 4 days ago
    AI & LLM EngineeringAuto-check passed

  • Phx Recall

    oliver-kriska/claude-elixir-phoenix

    Recall prior work from past sessions — how a bug was fixed, what was decided, where a pattern lives.

    565 GitHub stars~869 tokensUpdated 3 days ago
    AI & LLM EngineeringAuto-check passed

  • LLM Trace Review Interface

    ai-evals-course/evals-skills

    Builds a browser-based annotation page for reviewing LLM traces one at a time with pass/fail labels, notes and saved results, tailored to your data.

    1.5k GitHub stars~1.4k tokensUpdated 14 days ago
    AI & LLM EngineeringAuto-check passed

  • Create Repo Agent

    langfuse/langfuse

    Design, implement, review, or harden Langfuse repo-owned autonomous agents.

    36k GitHub stars~730 tokensUpdated today
    DevOps & CloudAuto-check passed

  • Hydra Architect

    streamband/hydra-srt

    A skill your agent uses when designing or evolving Hydra platform architecture across Elixir/Phoenix, SQLite, VictoriaMetrics/VictoriaLogs analytics, native/Rust, and runtime boundaries.

    147 GitHub stars~1.2k tokensUpdated 22 days ago
    DatabasesAuto-check passed

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  • Mintlify

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    Frontend development guidelines for the Phoenix AI observability platform.

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  • Phoenix Graphql

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  • Phoenix Server

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    Backend development guide for the Phoenix AI observability platform (Strawberry GraphQL, SQLAlchemy async, FastAPI).

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Works with

Categories

Questions about Phoenix Sqlean

What does Phoenix Sqlean do?

Maintaining packages/phoenix-sqlean, the vendored fork of nalgeon/sqlean.py published as arize-phoenix-sqlean. Phoenix Sqlean is an agent skill from Arize-ai/phoenix.py published as arize-phoenix-sqlean.

When should I use Phoenix Sqlean?

Phoenix Sqlean fits situations like: bumping the bundled SQLite; xxHash versions; changing its wheel matrix; touching its publish path.

How do I install Phoenix Sqlean in Claude Code?

Run `npx skills add Arize-ai/phoenix --skill phoenix-sqlean -a claude-code`. Or copy the skill folder (.agents/skills/phoenix-sqlean in Arize-ai/phoenix) into .claude/skills/phoenix-sqlean in your project. Claude Code loads it when a task matches its description.

How do I install Phoenix Sqlean in Codex?

Run `npx skills add Arize-ai/phoenix --skill phoenix-sqlean -a codex`. Or copy the skill folder (.agents/skills/phoenix-sqlean in Arize-ai/phoenix) into .agents/skills/phoenix-sqlean in your project. Codex loads it when a task matches its description.

Can I use Phoenix Sqlean in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Arize-ai/phoenix --skill phoenix-sqlean -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/phoenix-sqlean, .gemini/skills/phoenix-sqlean, .github/skills/phoenix-sqlean and .opencode/skills/phoenix-sqlean in your project.

What does Phoenix Sqlean need to run?

Going by SKILL.md and its folder, Phoenix Sqlean needs the command-line tools its instructions call (python, make and git). Our summary lists: Python 3.

Does Phoenix Sqlean access the network?

SKILL.md names 2 domains. As links in the text: github.com and sqlite.org. This is read from the text; nothing was executed.

Is Phoenix Sqlean safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Phoenix Sqlean use?

Phoenix Sqlean has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Phoenix Sqlean use?

About 1.7k tokens (SKILL.md is roughly 6.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Phoenix Sqlean?

Skills that share tags, products or a category with Phoenix Sqlean: Phoenix LLM Observability (Orchestra-Research/AI-Research-SKILLs, 13k stars), Source Command Dev Docs Sync (Netis/heron, 102 stars), Phx Recall (oliver-kriska/claude-elixir-phoenix, 565 stars) and LLM Trace Review Interface (ai-evals-course/evals-skills, 1.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Phoenix Sqlean?

Arize-ai (a GitHub organization) maintains it in Arize-ai/phoenix, which has 11,764 GitHub stars. The repository holds 39 skills in this directory. The repository was last updated on October 9, 2026.

Source: Arize-ai/phoenix on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.