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Agent Skill · 研究检索

xiaobai-evr-framework(小白 evr 框架)

xiaobai-evr-framework 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。

xiaobai-evr-framework 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为可写文件;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 30,203。

总安装 2,916周安装 124GitHub Stars 公开资料未说明下载 1,022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
1.1.0

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:xiaobai-evr-framework(小白 evr 框架)
来源仓库:https://github.com/aptratcn/xiaobai-evr-framework
安装命令:
openclaw skills install xiaobai-evr-framework
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 xiaobai-evr-framework

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。

EVR 框架强制 AI 执行、验证并报告任务结果。防止虚假完成和无声失败,提升任务可靠性。适用于需要严格验证输出的代理操作流程。当用户要求确保任务真实执行时使用。xiaobai-evr-framework 属于研究检索类 Skill,可作为该场景下的辅助能力补充。需确认执行环境与验证机制的安全性。

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 xiaobai-evr-framework;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

    它需要可写文件,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

xiaobai-evr-framework 怎么安装?

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

xiaobai-evr-framework 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。

xiaobai-evr-framework 需要什么权限?

权限级别是可写文件。该 Skill 可能写入或修改本地文件,使用前需要确认目标目录和修改范围。

xiaobai-evr-framework 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。

xiaobai-evr-framework 用的人多吗?

公开数据是累计安装 2,916 次,近一周安装 124 次,下载 1,022 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。

xiaobai-evr-framework 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

  • 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

  • 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
xiaobai-evr-framework

小白 evr 框架 · 本页

2,916—可写文件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
evr-framework
description
EVR Framework — Execute-Verify-Report. Force AI to actually DO, then VERIFY, then REPORT. Stop fake completions and silent failures. Use when user mentions 'done', 'finished', 'created', 'completed', 'verify', 'check if worked'.

EVR Framework ✅

Execute → Verify → Report. No more fake completions.

Trigger Phrases

This skill activates when:

  • User asks "did you actually do X?"
  • Agent says "done" or "finished" or "created"
  • User mentions "verify", "check if it worked", "are you sure"
  • Multi-step task is being completed
  • Agent claims to have created/modified/deleted something
  • User is skeptical about completion claims

The Problem

❌ What happens without EVR:
User: "Create a cron job"
Agent: "Done! ✅"
[No cron job exists]
User: [Finds out later nothing was done]
✅ What happens with EVR:
User: "Create a cron job"
Agent: [Creates cron job]
Agent: [Runs verification command]
Agent: "Verified: cron job 'morning-reminder' exists, next run at 08:00 tomorrow. Evidence: cron list output attached."

EVR Protocol

Step 1: EXECUTE

Perform the action for real, not just describe it.

Examples:
- "Create file" → Actually write to filesystem
- "Send message" → Actually call message API
- "Run command" → Actually execute in shell
- "Create cron" → Actually register with scheduler

Step 2: VERIFY

Check the result independently, don't just trust the action.

Verification Commands by Task Type:

| Task Type | Verification Command |
|-----------|---------------------|
| Create file | `ls -la /path/to/file` |
| Edit file | `grep "change" /path/to/file` |
| Create cron | `openclaw cron list` |
| Send message | Check for message ID in response |
| Install package | `which package-name` |
| Start service | `systemctl status service` |
| Git push | `git log --oneline -1` |
| Create repo | `gh repo view repo-name` |

Step 3: REPORT

State completion with evidence, not just "done".

Report Format:
"[Action] completed. Verified: [what you checked]. Evidence: [output/result]."

Examples:
✅ "Cron job created. Verified: 'morning-reminder' appears in cron list. Next run: 08:00 tomorrow."
✅ "File written. Verified: /tmp/test.txt exists with 42 bytes. Content preview: 'Hello World...'"
✅ "Message sent. Verified: message ID ROBOT1.0_xxx received. Delivery confirmed."

Before/After Examples

Example 1: Creating a Cron Job

❌ Without EVR:

User: Create a daily reminder at 8am
Agent: Done! I've created your daily reminder at 8am.
[Nothing was actually created]

✅ With EVR:

User: Create a daily reminder at 8am
Agent: [Executes: openclaw cron add --name "daily-reminder" --cron "0 8 * * *"]
Agent: [Verifies: openclaw cron list --json]
Agent: Daily reminder created and verified.
       Job ID: abc123
       Schedule: 0 8 * * * (daily at 08:00)
       Status: enabled
       Next run: tomorrow 08:00

Example 2: Writing a File

❌ Without EVR:

User: Create a config file
Agent: I've created the config file for you.
[File doesn't exist]

✅ With EVR:

User: Create a config file
Agent: [Executes: write to /app/config.json]
Agent: [Verifies: cat /app/config.json]
Agent: Config file created and verified.
       Path: /app/config.json
       Size: 256 bytes
       Content: {"name": "myapp", "version": "1.0.0", ...}

Example 3: Sending a Message

❌ Without EVR:

User: Send this to John
Agent: Message sent to John!
[Message never sent]

✅ With EVR:

User: Send this to John
Agent: [Executes: message API call]
Agent: [Verifies: check response for message_id]
Agent: Message sent and verified.
       Recipient: John (user_id: xxx)
       Message ID: ROBOT1.0_xxx
       Timestamp: 2026-04-21 08:00:00
       Status: delivered

Integration with Other Skills

With Memory Guard

After completing important tasks:

  1. Execute task
  2. Verify completion
  3. Save to memory with evidence
  4. Report to user

With Error Recovery

If verification fails:

  1. Log the error
  2. Attempt retry (up to 3 times)
  3. If still failing, report to user with details
  4. Don't claim completion until verified

With Self-Improve

When EVR catches a fake completion:

  1. Log as mistake type: "fake_completion"
  2. Add to WORK_RULES.md: "Must verify before claiming done"
  3. Never repeat this mistake

Verification Checklist

Before saying "done", ask yourself:

  • [ ] Did I actually execute the action?
  • [ ] Did I run a verification command?
  • [ ] Does the verification output confirm success?
  • [ ] Am I reporting with evidence, not just assertion?

Anti-Patterns

PatternWhy It's WrongFix
"I've created X"No verificationRun command to check X exists
"Done ✅"No evidenceAttach verification output
"Should be working"UncertaintyVerify it's working
"Successfully completed"Self-assertionShow external confirmation

License

MIT

平台分布

OpenClaw

82.17%
按下载量换算840

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

可写文件

该 Skill 可能写入或修改本地文件,使用前需要确认目标目录和修改范围。

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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