Token导航 LogoToken导航

Agent Skill · 研究检索

vigilance(vigilance 搜索)

vigilance 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。

vigilance 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为执行命令;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 26,066。

总安装 3,646周安装 155GitHub Stars 公开资料未说明下载 1,277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
1.0.3

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:vigilance(vigilance 搜索)
来源仓库:https://github.com/sanjeet-toosi/vigilance
安装命令:
openclaw skills install vigilance
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 vigilance

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。

OpenClaw 代理执行前评估护栏,控制高风险工具调用权限。强化儿童安全保护机制,拦截潜在有害请求与危险操作。在关键决策节点发出强制执行或不执行判断建议。vigilance 属于研究检索类 Skill,可作为该场景下的辅助能力补充。需定期更新规则库以应对新型风险与攻击向量变化。

通过 clawhub 安装并作为 OpenClaw 核心安全组件启用。

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 vigilance;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

    它需要执行命令,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

vigilance 怎么安装?

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

vigilance 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。

vigilance 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 openclaw skills install vigilance 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。

vigilance 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。

vigilance 用的人多吗?

公开数据是累计安装 3,646 次,近一周安装 155 次,下载 1,277 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。

vigilance 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

  • 需要执行命令,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

  • 不能接受 Skill 在你机器上执行命令的人。
  • 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
vigilance

vigilance 搜索 · 本页

3,646—执行命令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
agent-sentinel
description
>
version
2.0.0
author
openclaw
tags
metadata
openclaw
requires
bins
env

agent-sentinel

Purpose

This skill is the mandatory evaluation layer between the agent's intent and any high-stakes tool execution. You are not permitted to use the tools listed under Interception Triggers without first calling this script and receiving "decision": "ALLOW" or "decision": "ADVISE" in the result.

Think of this as a circuit breaker — if the Sentinel trips, the circuit opens and the action stops.


Interception Triggers

You are FORBIDDEN from invoking any of the following tools without first running eval_engine.py and parsing its response.
ToolTrigger condition
web_searchEvery search, without exception
booking_toolEvery flight, hotel, or travel booking
shell_commandEvery shell or terminal execution
payment_toolEvery payment, checkout, or purchase

No exceptions apply. Even if you are certain the action is safe, the Sentinel must still be called. This is a policy requirement, not a suggestion.


How to Call the Sentinel

Run the following command before invoking any trigger tool:

python3 ~/.openclaw/skills/agent-sentinel/eval_engine.py \
  --intent  "<what the user asked for>" \
  --action  <booking_tool|web_search|shell_command|payment_tool|other> \
  --data    "<the exact payload: URL, flight details, command, amount>" \
  [--provider  anthropic|openai|ollama] \
  [--model     <model-id>] \
  [--config_path /path/to/SENTINEL_CONFIG.md]

Example — flight booking:

python3 ~/.openclaw/skills/agent-sentinel/eval_engine.py \
  --intent "Book a family trip to Orlando for spring break" \
  --action booking_tool \
  --data   "Delta Airlines, dep 08:30, arr 11:45, $389 total, non-stop, economy"

Example — web search:

python3 ~/.openclaw/skills/agent-sentinel/eval_engine.py \
  --intent "Find age-appropriate science videos for my daughter" \
  --action web_search \
  --data   "https://www.youtube.com/results?search_query=kids+science+experiments"
Important: The script writes Chain-of-Thought reasoning to stderr and emits only valid JSON to stdout. Parse stdout with json.loads(...). Do not parse stderr.

Response Schema

The script always returns a single JSON object:

{
  "decision":     "ALLOW" | "BLOCK" | "ADVISE",
  "severity":     "LOW"   | "MEDIUM" | "HIGH",
  "reason":       "<clear explanation>",
  "alternatives": "<suggestion to resolve the violation>"
}

Decision Handling Rules

"ALLOW" — Proceed

The action passed all checks. Continue with the intended tool call. If the result contains "severity": "LOW" alongside ALLOW, surface any informational notes to the user as a soft advisory but do not block.


"ADVISE" — Pause and Confirm

The action is not blocked but a preference mismatch or soft-limit warning was detected. You must:

  1. Stop before invoking the tool.
  2. Show the reason and alternatives fields to the user verbatim.
  3. Ask the user explicitly: *"Would you like to proceed anyway?"*
  4. Only continue if the user confirms. If they do not confirm within the

turn, treat it as a BLOCK.

Example ADVISE response to user:

I noticed an advisory before completing your request: Advisory: Price $480 is within 15% of your $500 budget cap. Suggestion: Confirm this cost is acceptable or I can search for cheaper alternatives. Would you like me to proceed with this booking, or should I look for less expensive options?

"BLOCK" — Stop Immediately

You are strictly forbidden from proceeding. Do not attempt to:

  • Retry the same action with different parameters
  • Find a workaround or alternative path to the same outcome
  • Bypass the Sentinel by splitting the action into smaller steps
  • Claim the Sentinel is wrong and proceed anyway

You must:

  1. Do not call the trigger tool.
  2. Apologize to the user and clearly explain the violation.
  3. Quote the reason field exactly.
  4. If alternatives is non-empty, present it as the recommended path forward.
  5. Ask for an explicit user override if they wish to continue.

Example BLOCK response to user (budget violation):

I'm sorry — I can't complete this booking. Blocked: Price $650.00 exceeds your maximum budget of $500.00. What you can do: Look for options priced at or below $500. Consider flexible dates or alternate airports. If you'd like to override this limit for this booking only, please say "override" and I'll ask you to confirm the amount before proceeding.

Example BLOCK response to user (child-safety violation):

I'm sorry — I can't perform this search. Blocked: This content is restricted under the household child-safety policy (severity: HIGH). Reason: [reason from the Sentinel] Please modify your request. If you believe this is an error, an adult in the household can review and override the policy in SENTINEL_CONFIG.md.

Override Protocol

If a user explicitly says "override" for a BLOCK decision, you must:

  1. Repeat the blocking reason and severity back to the user.
  2. Ask for explicit written confirmation: *"Please type 'I confirm' to

proceed despite this policy violation."*

  1. Log the override in your response (e.g., *"Proceeding with user override."*).
  2. Never offer override for a severity: HIGH (Tier-1 child-safety)

BLOCK unless an adult user has explicitly established that permission in writing within the same conversation turn.


Installing Dependencies

cd ~/.openclaw/skills/agent-sentinel
python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt

Configuration

Edit SENTINEL_CONFIG.md (in the skill directory or ~/.openclaw/) to update your preferences and safety policy. See that file for full documentation of all supported keys.

KeyTypeEffect
Child_Age_LimitintegerActivates child-safety tier
Max_Budget$NNNHard budget cap (BLOCK above, ADVISE at 85%)
Night_Flights_Blockedtrue/falseBlocks flights in night window
Night_Flight_WindowHH:MM - HH:MMNight restriction hours
Preferred_Airlinescomma listSoft preference (ADVISE if absent)
Blocked_Airlinescomma listHard block on listed carriers
Max_StopsintegerBLOCK if flight exceeds stop count
Preferred_CabinstringADVISE if different cabin detected
Max_Booking_Advance_DaysintegerADVISE if booking too far ahead

平台分布

OpenClaw

73.82%
按下载量换算943

安全审计

VirusTotal

通过

ClawScan

可疑

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 vigilance 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。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。

继续浏览同类 Skills