← 返回 Skills 市场
paulieb14

Subgraph Registry

作者 PaulieB14 · GitHub ↗ · v0.3.2 · MIT-0
cross-platform ⚠ suspicious
247
总下载
0
收藏
0
当前安装
2
版本数
在 OpenClaw 中安装
/install subgraph-registry-mcp
功能描述
Discover and filter 15,500+ The Graph subgraphs by domain, network, protocol type, or natural language goal with reliability scores and query URLs.
安全使用建议
This skill appears to be what it says: a pre-built, read-only registry served locally. Before installing, consider the following: 1) The server auto-downloads a registry.db from the skill's GitHub raw URL on first run — if you want to inspect the DB first, clone the repo and review the file or run the server in an isolated/container environment. 2) The package includes Python crawlers that, if you run them, will contact The Graph gateway and can use a GATEWAY_API_KEY from a .env file — only provide credentials if you intend to rebuild/update the registry. 3) The MCP/HTTP server listens on a local port (default 3848) and exposes an SSE endpoint; only enable --http/--http-only if you trust the local network environment. 4) Verify the GitHub repository/release source if provenance matters to you. If you need additional assurance, run the npx command inside a sandbox (container/VM) and/or inspect src/index.js and the downloaded registry.db before allowing remote agents to connect.
功能分析
Type: OpenClaw Skill Name: subgraph-registry-mcp Version: 0.3.2 The subgraph-registry-mcp bundle is a legitimate toolset for discovering and classifying subgraphs on The Graph Network. It includes a crawler (crawler.py), a rule-based classification engine (classifier.py), and an MCP server (src/index.js and mcp_server.py) that provides tools for searching and recommending subgraphs based on natural language goals. The server downloads a pre-built SQLite database from the project's GitHub repository (PaulieB14/subgraph-registry) to provide offline search capabilities. No evidence of data exfiltration, malicious execution, or harmful prompt injection was found; the code logic is transparent and aligns with its stated purpose of facilitating blockchain data discovery.
能力评估
Purpose & Capability
The declared purpose (discover/filter The Graph subgraphs) matches the code and SKILL.md: a Node MCP server serves queries against a pre-built SQLite registry. The repository also includes a Python crawl/classify pipeline for building the registry locally; this is plausible (build vs runtime separation) but worth noting because the runtime (npx) is Node-only while the repo contains heavy Python tooling for rebuilding the DB.
Instruction Scope
SKILL.md's runtime instructions are scoped: it runs a local server, downloads a pre-built registry.db from GitHub on first run, and serves queries locally. Queries themselves operate against the local DB and the skill does not instruct reading unrelated system files or exfiltrating secrets. The optional Python builder will read a .env (GATEWAY_API_KEY) if you run it, but that is clearly documented.
Install Mechanism
No install spec is required for usage beyond 'npx subgraph-registry-mcp'. The MCP server will auto-download a registry.db from a raw GitHub URL on first run — a common but higher-risk pattern than purely local-only operation because it fetches remote content and writes it to disk. The download URL points to the named GitHub repo, which matches the skill homepage; no URL shorteners or unknown personal servers are used.
Credentials
The skill declares no required env vars and the MCP server itself does not need secrets to run. The included Python crawler supports an optional GATEWAY_API_KEY (via .env) for building/updating the DB; that's appropriate for the crawler but not required for read-only MCP operation. The node runtime and the optional Graph API key usage are proportionate to the described functionality.
Persistence & Privilege
always is false and the skill is user-invocable only. It writes a registry.db into its data directory when downloading the pre-built DB and can run an HTTP/SSE server on a configurable local port; both behaviors are expected for a local registry service and do not imply excessive platform privileges.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install subgraph-registry-mcp
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /subgraph-registry-mcp 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v0.3.2
Add OpenClaw YAML frontmatter for agent discovery and skill gating
v0.3.1
Declare requirements, env vars, and network behavior in SKILL.md to address security scan flags
元数据
Slug subgraph-registry-mcp
版本 0.3.2
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 2
常见问题

Subgraph Registry 是什么?

Discover and filter 15,500+ The Graph subgraphs by domain, network, protocol type, or natural language goal with reliability scores and query URLs. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 247 次。

如何安装 Subgraph Registry?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install subgraph-registry-mcp」即可一键安装,无需额外配置。

Subgraph Registry 是免费的吗?

是的,Subgraph Registry 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Subgraph Registry 支持哪些平台?

Subgraph Registry 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Subgraph Registry?

由 PaulieB14(@paulieb14)开发并维护,当前版本 v0.3.2。

💬 留言讨论