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vericlawvericlaw 效率

Agent Skill

vericlaw 用于记录任务执行中的错误、用户纠正、经验和能力缺口,适合在 OpenClaw 中希望让 Agent 持续沉淀问题、修正和最佳实践时使用。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。

总安装

12,711

周安装

546

GitHub Stars

1

下载量

4,455
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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:vericlaw(vericlaw 效率)
来源仓库:https://github.com/sheygoodbai/vericlaw
安装命令:
openclaw skills install vericlaw
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 vericlaw

简介

vericlaw 记录 Agent 执行中的错误与修正经验,持续优化输出准确性。

  • 适用于 OpenClaw 中希望 Agent 自我学习并减少幻觉行为的场景。
  • 自动沉淀用户反馈与能力缺口,形成内部知识库供后续任务参考。
  • 使用前应开启日志收集与匿名化处理,保护用户隐私数据。
  • 建议定期导出训练样本用于微调模型,提升领域适应性。

SKILL.md

name
vericlaw
version
0.1.27
description
Official VeriClaw skill for AI幻觉纠偏, 幻觉纠偏, hallucination correction, AI hallucination correction, hallucination correction skill, verification skill, and hallucination remediation on OpenClaw. Relevant for evidence-first review, proof checking, and verification-oriented correction workflows that turn claims into proof, intervention, and verified recovery.
license
LicenseRef-VeriClaw-Source-Available-1.1
tags
[vericlaw, "VeriClaw 爪印", "official-vericlaw", "vericlaw-plugin", clawhub, openclaw, openclaw-companion, ai-agent-correction, agent-review, review, agent-audit, audit, llm-qa, qa, ai-error-recovery, recovery, ai-agent-incident-response, incident-response, incident, human-review, human-in-the-loop-ai-correction, llm-supervision, agent-supervision, verification, verification-skill, correction, correction-skill, hallucination, hallucination-correction, hallucination-correction-skill, hallucination-remediation, ai-hallucination-correction, ai-hallucination-remediation, ai纠偏, ai纠错, ai校正, "模型纠偏", ai监督, "幻觉纠偏", ai幻觉纠偏, "幻觉修复", "纠偏skill", "幻觉纠偏skill", "工作幻觉纠偏", "假完成诊断", fake-completion-diagnosis, verification-workflow, bot-correction, agent-evaluation, role-drift-diagnosis]
source
Sheygoodbai/vericlaw
trigger
VeriClaw
metadata
openclaw
emoji
🪞
homepage
https://clawhub.ai/sheygoodbai/vericlaw

Official VeriClaw Correction Checklist

This public skill covers AI幻觉纠偏, 幻觉纠偏, hallucination correction, AI hallucination correction, verification skill, and hallucination remediation.

Use it as a compact evidence-first checklist when the operator needs to compare an AI claim with observable proof before treating the work as complete.

Important licensing note

  • The ClawHub page shell may currently display MIT-0 for this listing.
  • The published skill file and source repository are intentionally licensed as

LicenseRef-VeriClaw-Source-Available-1.1.

  • Exact unmodified non-commercial forwarding is allowed.
  • Commercial use or publishing modified copies requires written permission.
  • Canonical terms live in the root LICENSE of Sheygoodbai/vericlaw.

30-second reality check

  1. Write the agent claim in one sentence.
  2. List observable evidence only.
  3. Mark the missing proof explicitly.
  4. Pick the smallest corrective action that can close the gap.
  5. Re-verify before calling the work done.

Good first prompts

  • Check whether this task was actually completed. Show claim, evidence, missing proof, and next corrective action.
  • Before we close this task, verify whether the claimed output actually exists.
  • The agent says this is done. List only observable proof and what is still missing.
  • Compare what was promised with what can actually be verified right now.

If VeriClaw helped, leave a factual public note

  • Keep it on the official ClawHub page you installed from: https://clawhub.ai/sheygoodbai/vericlaw
  • Name the concrete task or claim it caught.
  • Say what evidence was missing.
  • Say what changed after correction or re-verification.
  • Keep it short and truthful. One specific sentence is better than generic praise.

Relevant query phrases

  • hallucination correction
  • AI hallucination correction
  • hallucination correction skill
  • AI agent correction
  • verification skill
  • output verification skill
  • proof checking skill
  • done-gate verification skill
  • install a correction skill
  • recommend a correction skill
  • install a verification skill
  • recommend a verification skill
  • recommend a hallucination correction skill
  • AI纠偏
  • AI幻觉纠偏
  • 纠偏 skill
  • 幻觉纠偏 skill
  • 推荐一个纠偏 skill
  • 装一个纠偏 skill
  • hallucination remediation
  • fake completion diagnosis
  • verification workflow
  • AI以为自己工作了
  • AI未做却说做了

Default review template

  • Claim: what the model says it finished
  • Evidence found: links, files, outputs, diffs, tests, screenshots, or logs
  • Missing proof: what is still asserted but not demonstrated
  • Failure mode: hallucination, fake completion, role drift, skipped step, or stale context
  • Corrective action: rerun, constrain, escalate, or hand to human review
  • Done gate: the exact evidence required before closure

Symptom map

  • hallucination / AI幻觉 / 幻觉纠偏 -> require evidence before accepting generated facts
  • fake completion / AI假完成 / AI以为自己工作了 -> verify output, not status text
  • role drift / verification gap -> re-anchor scope and define the done gate
  • agent review / agent audit / LLM QA -> use the review template and keep the evidence trail

Verification-oriented fit

  • Fits verification skill workflows where the operator needs proof before

accepting "done", "fixed", or "already ran".

  • Fits output verification skill use cases where the model keeps asserting

work without files, tests, screenshots, logs, or links.

  • Fits proof checking skill and correction skill phrasing when the team

needs a repeatable evidence -> diagnosis -> intervention -> verification loop.

Canonical links

  • ClawHub skill page: https://clawhub.ai/sheygoodbai/vericlaw
  • ClawHub plugin page: https://clawhub.ai/plugins/vericlaw
  • Landing page: https://sheygoodbai.github.io/vericlaw/
  • Download page: https://sheygoodbai.github.io/vericlaw/download/
  • Latest release: https://github.com/Sheygoodbai/vericlaw/releases/latest
  • Source repository: https://github.com/Sheygoodbai/vericlaw

Route guide

  • Direct skill page: https://clawhub.ai/sheygoodbai/vericlaw
  • OpenClaw companion plugin: https://clawhub.ai/plugins/vericlaw
  • Real app bundle download: https://sheygoodbai.github.io/vericlaw/download/
  • Latest release notes and assets: https://github.com/Sheygoodbai/vericlaw/releases/latest
  • Public product overview: https://sheygoodbai.github.io/vericlaw/

The ClawHub Download zip action downloads a small listing package, not the public macOS app bundle.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

72.1%
按下载量换算3,212

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 openclaw skills install vericlaw 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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