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在 OpenClaw 中安装
/install weaviate
功能描述
Build vector search with Weaviate using v4 syntax, proper module configuration, and production-ready patterns.
安全使用建议
This skill is a v4 Weaviate usage guide and is otherwise coherent, but it references provider API keys (OPENAI_API_KEY, X-Cohere-Api-Key) and shows examples that read os.environ — yet the registry metadata lists no required env vars. Before installing or running: 1) Treat this as documentation you will run locally, not a black-box plugin that needs your keys. 2) Do not paste full/high-privilege provider keys into the agent chat; instead create scoped API keys with limited quotas for testing. 3) Verify any code you run that calls weaviate.connect_to_*() will only receive the specific env vars you intend to share. 4) If you want the skill to manage keys, ask the publisher to update the metadata to declare required env vars (e.g., OPENAI_API_KEY, COHERE_API_KEY) so the platform can surface permissions. 5) If you prefer to avoid external providers, use the local transformer module option shown (text2vec-transformers) to keep embedding generation on-premises. If you need higher assurance, request the publisher to provide an explicit list of required credentials and a minimal example that uses least-privilege keys; until then, treat the missing env-var declarations as a red flag.
功能分析
Type: OpenClaw Skill
Name: weaviate
Version: 1.0.0
The skill bundle provides documentation and code examples for integrating with Weaviate, focusing on v4 syntax and best practices. All instructions and code snippets are directly related to configuring and interacting with Weaviate, including its modules like OpenAI and Cohere. The use of `os.environ` to retrieve API keys (e.g., `OPENAI_API_KEY`) is a standard and necessary practice for authenticating with these services, and there is no evidence or instruction to exfiltrate these keys or any other sensitive data to unauthorized endpoints. No prompt injection attempts, malicious execution, persistence mechanisms, or obfuscation were found across SKILL.md, modules.md, operations.md, or v4-syntax.md.
能力评估
Purpose & Capability
The name/description (Weaviate v4 guidance) aligns with the content: schema/collection design, modules, batch operations, hybrid search, and HNSW tuning. The instructions cover expected topics for building production vector search with Weaviate.
Instruction Scope
SKILL.md instructs runtime use of provider API keys in client headers (e.g., headers={"X-OpenAI-Api-Key": os.environ["OPENAI_API_KEY"]}, X-Cohere-Api-Key). Those environment accesses are not declared in requires.env. The instructions also tell users how to enable modules and how to pass keys to the client, which is expected for this skill, but the skill text directly references reading environment variables the registry metadata does not list — per the evaluator rules this is scope inconsistency. There is no direct instruction to read arbitrary files, but the env-var usage grants access to secrets when the agent executes code.
Install Mechanism
This is an instruction-only skill with no install spec or code files. That minimizes disk-write and external-install risk; nothing is downloaded or executed by the skill itself.
Credentials
The skill's docs require API keys for OpenAI and Cohere (and suggest headers for them) yet the registry lists no required env vars or primary credential. Asking for provider API keys is proportionate to the stated purpose, but failing to declare these credentials is a misalignment and a security/operational concern. The skill also suggests using high-privilege models (e.g., gpt-4) and enabling API-based modules; users should be cautioned to use scoped keys and quotas.
Persistence & Privilege
always:false and no install hooks; the skill does not request persistent system presence. Autonomous invocation is allowed (platform default) but not combined with other high-privilege indicators here.
如何使用
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install weaviate - 安装完成后,直接呼叫该 Skill 的名称或使用
/weaviate触发 - 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
v1.0.0
Initial release
元数据
常见问题
Weaviate 是什么?
Build vector search with Weaviate using v4 syntax, proper module configuration, and production-ready patterns. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 755 次。
如何安装 Weaviate?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install weaviate」即可一键安装,无需额外配置。
Weaviate 是免费的吗?
是的,Weaviate 完全免费(开源免费),可自由下载、安装和使用。
Weaviate 支持哪些平台?
Weaviate 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(linux, darwin, win32)。
谁开发了 Weaviate?
由 Iván(@ivangdavila)开发并维护,当前版本 v1.0.0。
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