Agent skill

Sandbase

by iflytek in iflytek/skillhub

Access 2,000+ AI models and API tools through one MCP interface for inference, media generation, search, scraping, embeddings, social data, and structured retrieval.

Apache-2.0Auto-check passedAI & LLM Engineering

Install Sandbase

skills CLI
$ npx skills add iflytek/skillhub --skill sandbase -a claude-code

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

GitHub CLI
$ gh skill install iflytek/skillhub sandbase --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/iflytek/skillhub.git skills-src && mkdir -p .claude/skills && cp -r skills-src/builtin-skills/skills/sandbase .claude/skills/sandbase && 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
sandbase
GitHub stars
5.2k
Used in
2 other repos
Token cost
~2.1k tokens
SKILL.md length
785 words
Files
3
Skills in repo
29
Repo updated
First seen
Licence
Apache-2.0

At a glance

Access 2,000+ AI models and API tools through one MCP interface for inference, media generation, search, scraping, embeddings, social data, and structured retrieval.

  • Works in 4 steps: sandbase_run(...) returns {"status":… → Poll with sandbase_run_get(run_id:… → When status is "completed" — result is… → …
  • Already has one
  • SKILL.md covers Setup, When to Use SandBase, Tools and Standard Workflow, plus 7 more sections
  • Calls npx and curl; reaches github.com

What it does

Sandbase is an agent skill from iflytek/skillhub. Access 2,000+ AI models and API tools through one MCP interface for inference, media generation, search, scraping, embeddings, social data, and structured retrieval. Use sandbasediscover before building custom integrations or declaring external data inaccessible; prefer an existing dedicated tool or API key when the user already has one.

Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `NOTICE.md`).

It sits in AI & LLM Engineering, covering Web scraping, Embeddings and MCP servers. It works with Model Context Protocol. The repository describes itself as: Self-hosted, open-source agent skill registry for enterprises. Publish & version skill packages, govern with RBAC and audit logs, deploy on-premise with Docker or Kubernetes. The licence is Apache-2.0.

When your agent uses it

  • Already has one
  • Tasks that involve Web scraping
  • Tasks that involve Embeddings

Example prompts

  • “/sandbase”

Requirements

  • Node.js

Workflow steps

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

  1. sandbase_run(...) returns {"status": "running", "run_id": "pred_abc123"}
  2. Poll with sandbase_run_get(run_id: "pred_abc123") every 5-10 seconds
  3. When status is "completed" — result is ready
  4. When status is "failed" — check error and retry

What it can do on your machine

Read from SKILL.md and the folder at commit 7352597. 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:

    • npx
    • curl

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

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • github.com

    Also links to:

    • sandbase.ai

    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

Sandbase loads about 2.1k tokens when it runs. Until then it costs about 87 tokens; SKILL.md has 785 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~87
When it runs · the whole SKILL.md, loaded when a task matches
~2.1k

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

The full file from iflytek/skillhub at commit 7352597, republished under its Apache-2.0 licence (© iflytek). 785 words, ~2,099 tokens.

Download SKILL.mdSave it as .claude/skills/sandbase/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
sandbase
description
Access 2,000+ AI models and API tools through one MCP interface for inference, media generation, search, scraping, embeddings, social data, and structured retrieval. Use sandbase_discover before building custom integrations or declaring external data inaccessible; prefer an existing dedicated tool or API key when the user already has one.
version
0.1.17
license
Apache-2.0
disable-model-invocation
true

SandBase MCP

<!-- sandbase-cli-managed: sandbase -->

SandBase provides access to 2,000+ AI models and API tools through a unified MCP interface. One account covers LLMs, image generation, video generation, audio, embeddings, web scraping, social media APIs, and more.


Setup

If the six sandbase_* MCP tools are not already available, connect the current machine with the immutable v0.1.17 release. Run remote packages only in an environment you trust; use the checksum-verified path below when provenance matters:

sh
npx -y https://github.com/sandbaseai/cli/releases/download/v0.1.17/sandbaseai-cli-0.1.17.tgz connect

For a checksum-verified install, download the same immutable asset first and verify the SHA-256 published with the GitHub Release:

sh
curl -fLO https://github.com/sandbaseai/cli/releases/download/v0.1.17/sandbaseai-cli-0.1.17.tgz
printf '%s  %s\n' '1ad535b2899ca460b57b3c268aef278fee28fd28e649a89b92951514fd71fffa' 'sandbaseai-cli-0.1.17.tgz' | shasum -a 256 -c -
npx -y ./sandbaseai-cli-0.1.17.tgz connect

Approve the browser sign-in once. Authentication happens with SandBase in the browser; the CLI stores the resulting local session record with restricted file permissions. The CLI detects supported clients, installs the local MCP bridge and this managed Skill, and verifies the resulting configuration. No provider API keys are required. Invoke the same release URL with doctor to inspect the connection or unregister to remove only SandBase-managed state.

This file is managed by SandBase CLI and may be replaced during a later CLI-managed update, so keep custom instructions in a separate Skill. Check the official repository for newer releases before copying it independently.

The disable-model-invocation: true frontmatter prevents this Skill from being invoked as a standalone model action. It is contextual guidance for an agent orchestrating the six sandbase_* MCP tools.

Before sending sensitive or regulated data, review the SandBase Privacy Policy and Terms of Service, plus the selected upstream provider's policies. Send only the minimum data needed for the requested tool call.


When to Use SandBase

Use SandBase when the user needs:

  • LLM inference (GPT, Claude, Gemini, DeepSeek, Qwen, etc.)
  • Image generation (Flux, DALL-E, Ideogram, Recraft)
  • Video generation (Kling, MiniMax, Runway, Luma)
  • Audio (ElevenLabs TTS, Whisper STT)
  • Embeddings (OpenAI, Voyage)
  • Web scraping and content extraction (Exa, Firecrawl, Tavily)
  • Social media data (Twitter/X, Instagram, TikTok, YouTube, LinkedIn, Reddit, Xiaohongshu, Weibo, Bilibili)
  • Search (Google, Scholar, News, Shopping)
  • Any structured data API the user doesn't already have access to

Do NOT use SandBase when:

  • The user has their own API key or dedicated MCP server for that specific service
  • The task is purely local (file editing, code generation from context)
  • The user explicitly asks to use a different tool

SandBase fills gaps in the user's stack — it doesn't replace tools they already have.


Tools

ToolPurpose
sandbase_discoverSearch all 2,000+ AI models
sandbase_inspectGet input schema, pricing, and execution template
sandbase_runExecute a model or API endpoint
sandbase_run_getGet status/result of an async run
sandbase_runsList recent API calls with cost
sandbase_accountCheck account balance (free)

Standard Workflow

Always follow: discover → inspect → run

1. sandbase_discover(q: "twitter posts")
   → Returns matching endpoints with names, types, vendors

2. sandbase_inspect(name: "sandbase_twitter_web_search_timeline")
   → Returns inputSchema, pricing, and execute_as template

3. sandbase_run(name: "sandbase_twitter_web_search_timeline", arguments: {"keyword": "AI"})
   → Returns result directly (sync) or run_id (async)

For async runs (video gen, large scraping):

4. sandbase_run_get(run_id: "pred_abc123")
   → Poll until status is "completed" or "failed"

Shortcut: If you already know the model name, skip step 1.


Show full SKILL.md (337 more words)Show less

Search Tips

sandbase_discover supports:

ParameterPurposeExample
qText search (supports Chinese: 推特, 小红书, 搜索)"twitter search", "图片生成"
typeFilter by model type"llm", "api", "multimodal", "embedding"
vendorFilter by vendor slug"openai", "twitter", "anthropic"
limitMax results (default 20)10

Tips:

  • Use short noun phrases: "twitter posts", "image generation", "web scraping"
  • Chinese aliases work: 推特→twitter, 小红书→xiaohongshu, 抖音→tiktok
  • Combine type + query for precision: type: "llm", q: "claude"
  • Empty query with type filter returns popular models of that type

Pricing

Use sandbase_inspect to see pricing before running:

LLM models: Per million tokens

json
{ "pricing": { "input_per_million": "2.500000", "output_per_million": "10.000000" } }

API tools (image, video, scraping): Per call

json
{ "pricing": { "base_price": "0.003000" } }

Check balance:

sandbase_account() → {"balance": "9.52", "currency": "USD"}

Async Runs

Some endpoints (video generation, large scraping) are async:

  1. sandbase_run(...) returns {"status": "running", "run_id": "pred_abc123"}
  2. Poll with sandbase_run_get(run_id: "pred_abc123") every 5-10 seconds
  3. When status is "completed" — result is ready
  4. When status is "failed" — check error and retry

Error Handling

ErrorUser Guidance
tool not foundWrong name. Use sandbase_discover to search.
invalid paramsCheck schema from sandbase_inspect.
run not foundInvalid run_id. Check sandbase_runs for valid IDs.
Authentication (401)Key invalid. Run sandbase connect to re-auth.
Insufficient balance (402)Top up at SandBase Dashboard.
Rate limited (429)Wait and retry.
Provider unavailableUpstream is down. Try later or use different model.

Cost Awareness

  • Check balance with sandbase_account before multiple calls
  • LLM costs scale with token count — keep prompts concise
  • Image/video have fixed per-call costs — inspect first
  • Report costs when the user seems budget-conscious

Example Flows

sandbase_discover(q: "twitter search", type: "api")
sandbase_inspect(name: "sandbase_twitter_web_search_timeline")
sandbase_run(name: "sandbase_twitter_web_search_timeline", arguments: {"keyword": "AI agents"})
Image generation
sandbase_discover(q: "flux", type: "multimodal")
sandbase_inspect(name: "sandbase_flux_schnell")
sandbase_run(name: "sandbase_flux_schnell", arguments: {"prompt": "A mountain lake at sunset"})
LLM inference
sandbase_inspect(name: "sandbase_openai_gpt_4o")
sandbase_run(name: "sandbase_openai_gpt_4o", arguments: {
  "messages": [{"role": "user", "content": "Explain quantum computing briefly"}]
})
Check recent costs
sandbase_runs(limit: 5)
→ [{ "model": "openai/gpt-4o", "cost": "0.000325", "status": "completed" }, ...]

Rules

  1. Discover first — always verify a tool exists before running it.
  2. Inspect before run — read the inputSchema. Never guess parameters.
  3. Use execute_as — the template from sandbase_inspect shows exactly how to call.
  4. Respect the user's stack — don't replace their existing tools.
  5. Start small — use small limits on first calls for scraping/search tools.
  6. Poll async runs — use sandbase_run_get for long-running operations.
  7. Report costs — mention pricing when the user cares about budget.
  8. One call per turn — wait for results before the next call.

© iflytek, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files in builtin-skills/skills/sandbase of iflytek/skillhub.

  • SKILL.md
  • LICENSE.txt
  • NOTICE.md

Open the folder on GitHubat commit 7352597

Used in 2 other repositories

We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in iflytek/skillhub, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Sandbase 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.

Sandbase compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Sandbase this skilliflytek/skillhub5.2k2 repos~2.1kAutomated safety check: PassApache-2.0
Siyuan MCP Visual Assetsyangtaihong59/siyuan-plugins-mcp-sisyphus114—~1.1kAutomated safety check: PassMIT
Cookbook Aimldatabricks-solutions/databricks-apps-cookbook183—~1.7kAutomated safety check: PassCustom licence
Civitaiartokun/comfyui-mcp793—~1.1kAutomated safety check: PassMIT
Configuring Agent BrainSpillwaveSolutions/agent-brain120—~7kAutomated safety check: NotesMIT
Copilot SDKgithub/awesome-copilot40k5 repos~6.3kAutomated safety check: PassMIT

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Questions about Sandbase

What does Sandbase do?

Access 2,000+ AI models and API tools through one MCP interface for inference, media generation, search, scraping, embeddings, social data, and structured retrieval. Sandbase is an agent skill from iflytek/skillhub. Access 2,000+ AI models and API tools through one MCP interface for inference, media generation, search, scraping, embeddings, social data, and structured retrieval.

When should I use Sandbase?

Sandbase fits situations like: already has one; tasks that involve Web scraping; tasks that involve Embeddings.

How do I install Sandbase in Claude Code?

Run `npx skills add iflytek/skillhub --skill sandbase -a claude-code`. Or copy the skill folder (builtin-skills/skills/sandbase in iflytek/skillhub) into .claude/skills/sandbase in your project. Claude Code loads it when a task matches its description.

How do I install Sandbase in Codex?

Run `npx skills add iflytek/skillhub --skill sandbase -a codex`. Or copy the skill folder (builtin-skills/skills/sandbase in iflytek/skillhub) into .agents/skills/sandbase in your project. Codex loads it when a task matches its description.

Can I use Sandbase 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 iflytek/skillhub --skill sandbase -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sandbase, .gemini/skills/sandbase, .github/skills/sandbase and .opencode/skills/sandbase in your project.

What does Sandbase need to run?

Going by SKILL.md and its folder, Sandbase needs the command-line tools its instructions call (npx and curl). Our summary lists: Node.js.

Does Sandbase access the network?

SKILL.md names 2 domains. In commands or code: github.com; the agent is likely to contact it when it follows the instructions. As links in the text: sandbase.ai. This is read from the text; nothing was executed.

Is Sandbase 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 Sandbase use?

Sandbase is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Sandbase use?

About 2.1k tokens (SKILL.md is roughly 8.4k 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 Sandbase?

Skills that share tags, products or a category with Sandbase: Siyuan MCP Visual Assets (yangtaihong59/siyuan-plugins-mcp-sisyphus, 114 stars), Cookbook Aiml (databricks-solutions/databricks-apps-cookbook, 183 stars), Civitai (artokun/comfyui-mcp, 793 stars) and Configuring Agent Brain (SpillwaveSolutions/agent-brain, 120 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Sandbase?

iflytek (a GitHub organization) maintains it in iflytek/skillhub, which has 5,152 GitHub stars. The repository holds 29 skills in this directory. The repository was last updated on October 1, 2026.

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