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Elasticsearch Openclaw — Elasticsearch OpenClaw — AI 编排搜索与分析参考

v1.1.1

提供 Elasticsearch 9.x 的只读参考,用于 AI 编排的搜索和分析,涵盖语义搜索、向量搜索、混合搜索和经典搜索模式。

0· 476·1 当前·1 累计
by @salgado (Alex Salgado)·MIT-0
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License
MIT-0
最后更新
2026/2/26
安全扫描
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OpenClaw
可疑
high confidence
本技能以只读 Elasticsearch 参考形式呈现,但其指令和参考文件包含特权写操作(创建 API 密钥、索引、推理端点、摄取管道)和不一致的元数据关于所需秘密 — 请谨慎操作。
评估建议
本技能主要包含文档,安装风险较低,但在提供凭据前应了解重要矛盾。文件包括创建 API 密钥、索引、推理端点、摄取管道和索引文档的示例 — 所有这些都是需要超出只读权限的写操作。如果您只想要读/查询能力:(1) 不提供集群管理员凭据 — 创建并提供针对特定索引的专用只读 API 密钥,具有类似 ["read","view_index_metadata"] 的权限;(2) 避免提供可以创建 API 密钥或修改索引的密钥;(3) 审查参考文件并删除或忽略执行写操作的 PUT/POST 示例;(4) 注意技能的元数据不一致(文档中提到的环境变量未在注册表中)并在需要信任此技能进行自动化使用时优先使用作者的明确通信。如果计划让代理自主运行,要求最小权限凭据并考虑在信任行为之前禁用自主调用或审计操作。...
详细分析 ▾
用途与能力
The skill's name and description claim a read-only reference for Elasticsearch 9.x, which justifies needing ELASTICSEARCH_URL and a read-only API key. However, parts of the content (examples and reference files) show write/create operations (POST /_security/api_key, PUT my-index, PUT _inference, PUT _ingest/pipeline, POST my-index/_doc). Creating API keys or inference endpoints requires elevated privileges that are not consistent with a pure read-only documentation skill. Also the top-level registry metadata listed no required env vars while SKILL.md metadata declares ELASTICSEARCH_URL and ELASTICSEARCH_API_KEY — an internal inconsistency.
指令范围
SKILL.md and the reference files explicitly include commands that mutate cluster state: creating API keys (POST /_security/api_key), index mappings (PUT my-index), creating inference endpoints (PUT _inference), ingest pipelines (PUT _ingest/pipeline), and indexing documents (POST my-index/_doc). These go beyond read-only search/aggregation examples and could lead an agent to perform privileged operations if given sufficient credentials. The docs also reference additional secrets (JINA_API_KEY) in examples that aren't declared in the skill metadata.
安装机制
This is an instruction-only skill with no install spec or code to write to disk, and requires no package downloads. That minimizes installation risk.
凭证需求
SKILL.md declares ELASTICSEARCH_URL and ELASTICSEARCH_API_KEY (base64) which are expected for an ES integration. However: (1) the registry summary initially showed no required env vars (metadata mismatch); (2) the Python reference and env examples mention JINA_API_KEY (an additional external API key) but it's not declared in SKILL.md metadata as required — this is inconsistent and could lead to unexpected requests for secrets; (3) creating API keys (included as an example) requires privileges beyond a typical read-only API key, so granting cluster-level credentials to follow sample steps would be disproportionate.
持久化与权限
The skill does not request 'always: true' or any special persistent installation. It instructs users to store the encoded API key in ~/.openclaw/workspace-[name]/.env, which is a normal workspace pattern. Still, because the docs include API-key creation steps, giving the skill credentials that allow API-key creation or index writes would expand its effective privileges — be careful to only provide a least-privilege read-only API key if you intend only read operations. Autonomous invocation is permitted by default (disable-model-invocation: false) but that alone is not flagged; combined with the write instructions it increases the blast radius if over-privileged credentials are provided.
安全有层次,运行前请审查代码。

License

MIT-0

可自由使用、修改和再分发,无需署名。

运行时依赖

🖥️ OSLinux · macOS · Windows

版本

latestv1.1.12026/2/25

安全改进:移除 curl 依赖,阐明只读性,添加安全注意事项

● 无害

安装命令 点击复制

官方npx clawhub@latest install elasticsearch-openclaw
镜像加速npx clawhub@latest install elasticsearch-openclaw --registry https://cn.clawhub-mirror.com

技能文档

现代 Elasticsearch 9.x 模式用于 AI 编排应用。

🔒 安全模型:按设计只读

本技能提供 仅读操作的文档:搜索、聚合和分析。无写操作(索引、更新、删除)被包含或由代理执行。 注意: 本技能需要外部凭据(Elasticsearch API 密钥)才能工作。ClawHub 安全扫描器可能将其标记为“可疑” — 这对于集成外部服务的技能是预期的。所有代码是透明的 Markdown 文档。授予凭据前请审查。

快速开始 — 本地开发

对于本地 Elasticsearch 9.x 设置与 Kibana,使用官方 start-local 工具:
  • 存储库:https://github.com/elastic/start-local
  • 文档:https://www.elastic.co/start-local
一旦运行:
  • Elasticsearch:http://localhost:9200
  • Kibana:http://localhost:5601
  • 凭据:elastic-start-local/.env

认证 — 始终使用 API 密钥

# 测试连接
 curl -s "$ELASTICSEARCH_URL" -H "Authorization: ApiKey $ELASTICSEARCH_API_KEY"
# Python 客户端 9.x
from elasticsearch import Elasticsearch
es = Elasticsearch(ES_URL, api_key=API_KEY)

参考文件

仅在需要时加载 — 不要一次加载所有:
文件加载时...
references/semantic-search.md设置 JINA、semantic_text、推理端点
references/vector-search.mdkNN 查询、dense_vector 映射、混合搜索与 RRF
references/classic-patterns.md映射设计、布尔查询、聚合、分页
references/python-client-9.mdPython elasticsearch 9.x — 无 body=,关键字参数,类型提示

何时使用每个模式

用户询问意义 / 意图 / “找到类似 X 的产品” → semantic_text + 语义查询 → references/semantic-search.md 用户需要精确匹配 + 结合语义 → 混合搜索 (RRF) → references/vector-search.md 用户询问映射、字段类型、分析器、聚合 → 经典模式 → references/classic-patterns.md 用户使用 Python elasticsearch 库 → 始终检查 → references/python-client-9.md

安全最佳实践

  • 始终使用 API 密钥而非用户名/密码
  • 将 API 密钥范围限定为特定索引和最小权限
  • 对于只读 OpenClaw 访问:privileges: ["read", "view_index_metadata"]
  • 将凭据存储在 .env 中,永远不要在脚本中硬编码
  • .env 始终在 .gitignore
POST /_security/api_key {
  "name": "openclaw-readonly",
  "role_descriptors": {
    "reader": {
      "indices": [{
        "names": ["my-index"],
        "privileges": ["read"]
      }]
    }
  }
}
// 响应:{
  "id": "VuaCfGcBCdbkQm-e5aOx",
  "name": "openclaw-readonly",
  "api_key": "ui2lp2axTNmsyakw9tvNnw",
  "encoded": "VnVhQ2ZHY0JDZGJrUW0tZTVhT3g6dWkybHAyYXhUTm1zeWFrdzl0dk5udw=="
}
⚠️ 立即保存响应中的 encoded 字段 — 之后无法检索。将其添加到 ~/.openclaw/workspace-[name]/.env 中作为 ELASTICSEARCH_API_KEY

数据来源:ClawHub ↗ · 中文优化:龙虾技能库
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