Skill 与 AgentSKILLS & AGENTS· MCP-SERVER

xerj

xerj-org/xerj

XERJ is the new way for AI to search data. Its autoindex capability activates agents to know your data without the token waste of grep (1974 tool). One command indexes code, docs, logs and PDFs for search, RAG, security audits and agent memory, using 40x fewer tokens than grep. It’s durable and can replace ElasticSearch saving you x10 infra costs.

根据公开文档整理，未运行实测；费用以项目官网为准。Based on public documentation, without runtime testing. Check the project site for pricing.

适用平台Platforms: claude-code
已识别的要求Documented requirements: API key
许可LICENSE: Apache-2.0

打开仓库Open repository

能力CAPABILITIES

它能帮你做成什么What it helps you do

上手GET STARTED

怎么装How to install

CURL-PIPE

curl -fsSL https://xerj.org/get | sh

选择与你的环境对应的方式。命令来自项目文档，未运行实测。Choose the option for your environment. Commands come from project documentation and have not been run-tested.

打开项目文档Open project documentation ↗

使用限制LIMITATIONS

限制与风险Limits and risk

以下要求与风险来自文档静态检查，未执行项目代码；扫描没有命中，不代表使用安全。Risk here is evidence, not an alarm. These findings come from static scanning of the docs; we never execute a project’s code.

限制LIMITS

存在风险Risk found

01需要 API KeyREQUIRES API KEY: 是Yes
02需要本地环境NEEDS LOCAL RUNTIME: 未在文档中发现Not found in the docs
03需要 DockerNEEDS DOCKER: 未在文档中发现Not found in the docs
04难度DIFFICULTY: 需要 API KeyNeeds an API key

项目动态PROJECT ACTIVITY

它现在处在什么位置Where it stands right now

首次发现FIRST SEEN

18 OCT 202618 OCT 2026

讨论DISCUSSION

1 SOURCES1 SOURCES

1 条外部提及1 external mentions

状态STATUS

持续活跃Active

相关讨论RELATED DISCUSSIONS

Local code search engine for reference coding
HN_STORY · 3 points · 1 comments

PROVENANCE · 这些结论的依据是什么Where these conclusions come from

来源 URLSource URL: https://github.com/xerj-org/xerj
原始数据哈希Raw data hash: 2bdbe6ae6ff0378d08a5c1134aefe817
解析时间Parsed at: 2026-10-18T23:33:49.895Z
最后一次验证Last verified: 2026-10-18T22:12:35.305Z
增长测量时间Growth measured: —
发现查询Discovery queries: focus:token:repo:token-saving
分类来源Category source: rules
焦点Focus: token (4)

完整解析证据 JSONFull parse evidence JSON

{
  "agents": [
    {
      "agent": "claude-code",
      "evidence": "readme: …# wire XERJ into Claude Code/Cursor (MCP + skill), one com…"
    }
  ],
  "apiKey": "ml`; pass `--api-key` or set `XERJ_API_KEY`, or every request comes back `401 Unau",
  "docker": null,
  "taxonomy": {
    "scores": {
      "design": 0,
      "ai-tools": 1,
      "dev-tools": 1,
      "indie-web": 0,
      "skill-agent": 0,
      "productivity": 0
    },
    "primary": "skill-agent",
    "secondary": "mcp-server"
  },
  "localRuntime": null,
  "skillMdTotal": 2,
  "skillMdErrors": [],
  "treeTruncated": false,
  "categoryScores": {
    "data": 5,
    "agent": 1,
    "media": 0,
    "design": 0,
    "browser": 0,
    "devtool": 0,
    "security": 2,
    "marketing": 0,
    "productivity": 0
  },
  "classification": [
    {
      "signal": "2 SKILL.md with name + description",
      "weight": 0.95
    },
    {
      "signal": "description mentions AI",
      "weight": 0.2
    }
  ],
  "scannedSources": [
    "readme",
    "docs/case-studies/wordpress-security-audit/skill/SKILL.md",
    "tools/xerj-code/SKILL.md"
  ],
  "skillMdFetched": 2
}