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Agent Skill · 研究检索

xerg(xerg 搜索)

xerg 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

xerg 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 11,687。

总安装 11,007周安装 468GitHub Stars 公开资料未说明下载 3,856核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
0.5.1

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:xerg(xerg 搜索)
来源仓库:https://github.com/jasonacurry/xerg
安装命令:
openclaw skills install xerg
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install xerg

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

以美元审计 OpenClaw 和 Hermes 工作流程。使用初始化、比较模式、OpenClaw 远程支持、CI 门和可选托管后续服务进行本地优先审核。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install xerg;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

xerg 怎么安装?

在终端执行 openclaw skills install xerg。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

xerg 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

xerg 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

xerg 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

xerg 用的人多吗?

公开数据是累计安装 11,007 次,近一周安装 468 次,下载 3,856 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

xerg 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
xerg

xerg 搜索 · 本页

11,007—接触敏感数据MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
xerg
description
Audit OpenClaw and Hermes workflows in dollars. Local-first audits with init, compare mode, OpenClaw remote support, CI gates, and optional hosted follow-up.
homepage
https://xerg.ai
metadata
openclaw
homepage
https://xerg.ai
links
repository
https://github.com/xergai/xerg
documentation
https://xerg.ai/docs
primaryEnv
XERG_API_KEY
requires
anyBins
config
install
package
@xerg/cli
bins
envVars
required
false
description
Optional Xerg Cloud workspace API key for explicit push, connect, and hosted MCP setup.
required
false
description
Optional override for the Xerg API endpoint; defaults to https://api.xerg.ai.
dependencies
type
npm
repository
https://github.com/xergai/xerg
type
other
url
https://www.openssh.com/
type
other
url
https://rsync.samba.org/
type
npm
repository
https://github.com/railwayapp/cli

Xerg

Use xerg if it is already installed. If not, use npx @xerg/cli with the same arguments.

Xerg audits OpenClaw and Hermes workflows in dollars, not tokens. It reads gateway logs and session transcripts, surfaces confirmed waste plus savings opportunities, and helps you measure fixes with --compare.

Local audits need no account. Hosted sync and hosted MCP are optional paid workspace features. No data leaves your machine unless you explicitly push results to Xerg Cloud.

The initial npx @xerg/cli path fetches and executes the published npm package. To avoid that runtime fetch, install and review the CLI first with npm install -g @xerg/cli, or use a locally built xerg binary.

Quick Start

xerg init
xerg audit --compare

Use direct commands when you need explicit control, non-interactive behavior, JSON output, or CI gates:

xerg doctor
xerg audit
xerg audit --json
xerg audit --fail-above-waste-rate 0.30

Inputs

Xerg needs one of these source inputs:

  • Local OpenClaw data at the default paths:

- /tmp/openclaw/openclaw-*.log - ~/.openclaw/agents/*/sessions/*.jsonl

  • Local Hermes data at the default paths:

- ~/.hermes/logs/agent.log* with gateway.log* fallback - ~/.hermes/sessions/

  • Explicit paths via --log-file and/or --sessions-dir
  • An SSH target via --remote
  • A Railway target via --railway
  • A multi-source config via --remote-config

Additional requirements:

  • --compare needs at least one previously stored compatible local snapshot
  • Pushing needs auth via XERG_API_KEY, ~/.xerg/config.json, or browser credentials from xerg login
  • SSH audits require ssh and rsync on your local PATH and are OpenClaw-only in this phase
  • Railway audits require the railway CLI on your local PATH and are OpenClaw-only in this phase

Security And Data Flow

Default doctor, init, audit, --compare, --json, and --markdown commands analyze data on the local machine. They read OpenClaw, Hermes, or Cursor usage files, compute economic summaries, print reports, and may write local SQLite snapshots for future comparison.

Remote OpenClaw audits over SSH, Railway, or --remote-config pull selected gateway logs and session files to local temporary storage, then run the same local audit engine. These flows require the corresponding remote transport credentials already configured on the machine.

Hosted sync is opt-in. connect, audit --push, push, and mcp-setup use XERG_API_KEY, ~/.xerg/config.json, or browser login credentials only for Xerg Cloud actions. The push payload contains audit totals, daily rollups, findings, recommendations, comparison deltas, and source metadata; it does not include raw prompt or response content, local source file paths, local database paths, or internal finding details.

Default Flow

  1. Start with the default first-run path when you want the fastest local result:
xerg init
  • init detects local OpenClaw or Hermes data
  • it runs a first audit with local snapshot persistence enabled
  • it offers optional hosted follow-up after the audit completes
  • if no local data is found, it prints explicit local-path commands plus remote OpenClaw-only guidance
  1. Detect sources directly when paths or connectivity are uncertain:
xerg doctor
xerg doctor --verbose
xerg doctor --remote user@host
xerg doctor --railway
  • xerg doctor --verbose shows progress on stderr while Xerg checks local paths or remote transports
  • If local defaults are empty, prefer xerg doctor --remote ... or xerg doctor --railway instead of guessing paths
  1. Run a baseline audit explicitly when you want direct control:
xerg audit
xerg audit --runtime openclaw
xerg audit --runtime hermes
  1. Choose the right output mode for the task:
xerg audit
xerg audit --json
xerg audit --markdown
  • Plain xerg audit is best for a human-readable summary
  • xerg audit --json is best for automation and agents
  • xerg audit --markdown is best for a shareable report
  1. After a workflow or model change, measure the delta:
xerg audit --compare
xerg audit --compare --json
  1. Export, push, or hosted-setup only when needed:
xerg audit --markdown > xerg-audit.md
xerg connect
xerg mcp-setup
xerg audit --push
xerg push
  • connect is the guided hosted path: it reuses existing auth, prompts before browser login when needed, and offers to push the latest audit
  • mcp-setup prints or writes hosted MCP config for Cursor, Claude Code, Codex, or another client
  • local audits and compare remain available if you skip hosted setup

Source Selection

Local defaults:

xerg audit

If both OpenClaw and Hermes are present locally, pass --runtime openclaw or --runtime hermes explicitly.

Explicit local paths:

xerg audit --runtime openclaw --log-file /path/to/openclaw.log
xerg audit --runtime openclaw --sessions-dir /path/to/sessions
xerg audit --runtime hermes --log-file ~/.hermes/logs/agent.log
xerg audit --runtime hermes --sessions-dir ~/.hermes/sessions

SSH remote:

xerg audit --remote user@vps.example.com
xerg audit --remote user@vps.example.com \
  --remote-log-file /opt/openclaw/logs/openclaw.log \
  --remote-sessions-dir /opt/openclaw/sessions

Railway:

xerg audit --railway
xerg audit --railway --project <id> --environment <id> --service <id>

Multiple remote sources:

xerg audit --remote-config ~/.xerg/remotes.json

Remote config files use this shape:

{
  "remotes": [
    {
      "name": "prod",
      "transport": "ssh",
      "host": "deploy@prod.example.com"
    },
    {
      "name": "railway-prod",
      "transport": "railway",
      "railway": {
        "projectId": "...",
        "environmentId": "...",
        "serviceId": "..."
      }
    }
  ]
}

CI And Automation

For CI gates, prefer a single command so the audit can still be pushed before threshold failure:

xerg audit --push --fail-above-waste-rate 0.25 --fail-above-waste-usd 100

Common variants:

xerg audit --fail-above-waste-rate 0.30
xerg audit --fail-above-waste-usd 50
xerg audit --since 24h --fail-above-waste-rate 0.30

Documented exit codes:

  • 0 success
  • 1 runtime error
  • 2 no supported local runtime data found
  • 3 threshold exceeded

Automation can branch on those codes instead of scraping terminal output.

Recommendations

When using --json, expect a recommendations array alongside the audit summary. Each recommendation item includes:

  • id, findingId, kind, title, summary
  • priorityBucket, recommendedOrder, implementationSurface, category
  • severity, confidence, effort
  • estimatedSavingsUsd, estimatedSavingsPct
  • scope, scopeId, scopeLabel
  • whereToChange, validationPlan, actions

Current recommendation kinds map into the Action queue buckets:

  • fix_now: retry-waste, loop-waste
  • test_next: context-outlier, idle-spend, candidate-downgrade, cache-carryover, max-mode-concentration
  • watch: unknown or uncategorized findings

Prefer high-confidence or reversible fixes first. Treat model downgrades, context changes, and Cursor behavior changes as compare-friendly experiments, not guaranteed savings.

Checks

Before finalizing work that used Xerg:

  • Say whether the audit was local, SSH, Railway, or multi-source
  • Say whether the output was plain terminal text, JSON, or Markdown
  • If --compare was used, confirm that it compared against a compatible stored snapshot
  • If no data was found, run xerg doctor or use explicit source flags rather than guessing
  • Say whether results were pushed to the Xerg API
  • Distinguish confirmed waste (retry-waste, loop-waste) from directional opportunities (context-outlier, idle-spend, candidate-downgrade)

Notes

  • --compare and --no-db cannot be used together
  • Xerg is local-first: it stores economic metadata and audit snapshots locally, not prompt or response content
  • XERG_API_KEY is recommended for CI and non-interactive automation
  • If browser auth is needed without the hosted setup flow, use xerg login; remove stored credentials with xerg logout
  • Pilot: xerg.ai/pilot
  • Support: query@xerg.ai

平台分布

OpenClaw

93.07%
按下载量换算3,589

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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