Agent skill

SDK Core

by VectorSpaceLab in VectorSpaceLab/AREX-Skill

A skill your agent uses for direct LiteLLM Python SDK work: chat/text completions, async calls, streaming, embeddings, structured outputs, tools, token/cost checks, caching, callbacks, import/smoke…

Custom licenceAuto-check passedAI & LLM Engineering

Install SDK Core

skills CLI
$ npx skills add VectorSpaceLab/AREX-Skill --skill sdk-core -a claude-code

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

GitHub CLI
$ gh skill install VectorSpaceLab/AREX-Skill sdk-core --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/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/repositories/repo-skills/litellm/sub-skills/sdk-core .claude/skills/sdk-core && 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
sdk-core
GitHub stars
330
Token cost
~1.1k tokens
SKILL.md length
333 words
Files
5 (incl. scripts, references)
Skills in repo
159
Repo updated
First seen
Licence
Custom licence

At a glance

A skill your agent uses for direct LiteLLM Python SDK work: chat/text completions, async calls, streaming, embeddings, structured outputs, tools, token/cost checks, caching, callbacks, import/smoke…

  • Works in 4 steps: For API signatures and parameter… → For copy-ready SDK patterns, read… → For failures and diagnostics, read… → …
  • Direct LiteLLM Python SDK work: chat/text completions
  • SKILL.md covers Route Elsewhere, Start Here, Core Mental Model and Quick Patterns, plus 2 more sections
  • Runs Python scripts from its folder; calls python; needs OPENAI_API_KEY

What it does

SDK Core is an agent skill from VectorSpaceLab/AREX-Skill. Use for direct LiteLLM Python SDK work: chat/text completions, async calls, streaming, embeddings, structured outputs, tools, token/cost checks, caching, callbacks, import/smoke validation, and shared SDK troubleshooting.

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `references/api-reference.md`, `references/troubleshooting.md` and `references/workflows.md`).

It sits in AI & LLM Engineering, covering Model routing and gateways, Embeddings and Structured output and tool calling. It works with Python. The repository describes itself as: A Skill Library for Automated Machine Learning.

When your agent uses it

  • Direct LiteLLM Python SDK work: chat/text completions
  • Structured outputs
  • Token/cost checks
  • Import/smoke validation

Example prompts

  • “/sdk-core”

Requirements

  • Python 3
  • A credential in OPENAI_API_KEY

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. For API signatures and parameter mapping, read references/api-reference.md.
  2. For copy-ready SDK patterns, read references/workflows.md.
  3. For failures and diagnostics, read references/troubleshooting.md.
  4. For a safe local check, run

What it can do on your machine

Read from SKILL.md and the folder at commit ac3fe1a. 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

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python

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

  • Network

    No URLs in SKILL.md.

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

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • OPENAI_API_KEY

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

Context cost

SDK Core loads about 1.1k tokens when it runs, and up to ~6.8k if it reads all its reference files. Until then it costs about 58 tokens; SKILL.md has 333 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~58
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~6.8k

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); the scripts in this folder 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 333 words (~1,059 tokens).

“Use this sub-skill when the task is about calling LiteLLM as a Python library. LiteLLM exposes OpenAI-format SDK calls across providers, with safe local validation available through mock_response and the bundled smoke script.”

— opening of SKILL.md by VectorSpaceLab, Custom licence
name
sdk-core
disable-model-invocation
true
metadata.disco-role
operating
license
NOASSERTION

Read the full SKILL.md on GitHub

Files

SKILL.md and 4 other files (scripts, references) in skills/repositories/repo-skills/litellm/sub-skills/sdk-core of VectorSpaceLab/AREX-Skill.

  • SKILL.md
  • references/api-reference.md
  • references/troubleshooting.md
  • references/workflows.md
  • scripts/sdk_smoke.py

Open the folder on GitHubat commit ac3fe1a

Compare with similar skills

SDK Core 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.

SDK Core compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
SDK Core this skillVectorSpaceLab/AREX-Skill330—~1.1kAutomated safety check: PassCustom licence
SGLang Structured ServingOrchestra-Research/AI-Research-SKILLs13k2 repos~2.9kAutomated safety check: PassMIT
Senior Prompt Engineeralirezarezvani/claude-skills28k1 repos~2.5kAutomated safety check: PassMIT
Context Engineering Reviewmohitagw15856/pm-claude-skills1.4k—~1.4kAutomated safety check: PassMIT
Routerbase Model Routingaiskillstore/marketplace430—~964Automated safety check: PassNone
Caching Architecturemajiayu000/litellm-rs117—~2kAutomated safety check: PassMIT

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Works with

Questions about SDK Core

What does SDK Core do?

A skill your agent uses for direct LiteLLM Python SDK work: chat/text completions, async calls, streaming, embeddings, structured outputs, tools, token/cost checks, caching, callbacks, import/smoke…. SDK Core is an agent skill from VectorSpaceLab/AREX-Skill. Use for direct LiteLLM Python SDK work: chat/text completions, async calls, streaming, embeddings, structured outputs, tools, token/cost checks, caching, callbacks, import/smoke validation, and shared SDK troubleshooting.

When should I use SDK Core?

SDK Core fits situations like: direct LiteLLM Python SDK work: chat/text completions; structured outputs; token/cost checks; import/smoke validation.

How do I install SDK Core in Claude Code?

Run `npx skills add VectorSpaceLab/AREX-Skill --skill sdk-core -a claude-code`. Or copy the skill folder (skills/repositories/repo-skills/litellm/sub-skills/sdk-core in VectorSpaceLab/AREX-Skill) into .claude/skills/sdk-core in your project. Claude Code loads it when a task matches its description.

How do I install SDK Core in Codex?

Run `npx skills add VectorSpaceLab/AREX-Skill --skill sdk-core -a codex`. Or copy the skill folder (skills/repositories/repo-skills/litellm/sub-skills/sdk-core in VectorSpaceLab/AREX-Skill) into .agents/skills/sdk-core in your project. Codex loads it when a task matches its description.

Can I use SDK Core 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 VectorSpaceLab/AREX-Skill --skill sdk-core -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sdk-core, .gemini/skills/sdk-core, .github/skills/sdk-core and .opencode/skills/sdk-core in your project.

What does SDK Core need to run?

Going by SKILL.md and its folder, SDK Core needs Python for the scripts in its folder, the command-line tools its instructions call (python) and credentials named OPENAI_API_KEY. Our summary lists: Python 3; A credential in OPENAI_API_KEY.

Does SDK Core access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is SDK Core 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does SDK Core use?

SDK Core has a licence file (declared in SKILL.md) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does SDK Core use?

About 1.1k tokens (SKILL.md is roughly 4.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 5.8k tokens, read only when the agent opens those files.

What are the alternatives to SDK Core?

Skills that share tags, products or a category with SDK Core: SGLang Structured Serving (Orchestra-Research/AI-Research-SKILLs, 13k stars), Senior Prompt Engineer (alirezarezvani/claude-skills, 28k stars), Context Engineering Review (mohitagw15856/pm-claude-skills, 1.4k stars) and Routerbase Model Routing (aiskillstore/marketplace, 430 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains SDK Core?

VectorSpaceLab (a GitHub organization) maintains it in VectorSpaceLab/AREX-Skill, which has 330 GitHub stars. The repository holds 159 skills in this directory. The repository was last updated on September 3, 2026.

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