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Agent Skill · 研究检索

openclaw-bastion(OpenClaw bastion 搜索)

openclaw-bastion 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。

openclaw-bastion 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 3,045。

总安装 49,811周安装 2,015GitHub Stars 1下载 15,636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
1.0.2

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:openclaw-bastion(OpenClaw bastion 搜索)
来源仓库:https://github.com/atlaspa/openclaw-bastion
安装命令:
openclaw skills install openclaw-bastion
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 openclaw-bastion

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。

代理工作区的提示注入防御。扫描文件以进行注入尝试、分析内容边界、检测隐藏指令并维护命令白名单。免费警报层 — 升级到 openclaw-bastion-pro 以实现主动阻止、清理和运行时强制。

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 openclaw-bastion;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

openclaw-bastion 怎么安装?

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

openclaw-bastion 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。

openclaw-bastion 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。

openclaw-bastion 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。

openclaw-bastion 用的人多吗?

公开数据是累计安装 49,811 次,近一周安装 2,015 次,下载 15,636 次,GitHub 1 星。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。

openclaw-bastion 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
openclaw-bastion

OpenClaw bastion 搜索 · 本页

49,8111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
openclaw-bastion
user-invocable
true
metadata
{"openclaw":{"emoji":"\�\�\️","requires":{"bins":["python3"]},"os":["darwin","linux","win32"]}}

OpenClaw Bastion

Runtime prompt injection defense for agent workspaces. While other tools watch workspace identity files, Bastion protects the input/output boundary — the files being read by the agent, web content, API responses, and user-supplied documents.

Why This Matters

Agents process content from many sources: local files, API responses, web pages, user uploads. Any of these can contain prompt injection attacks — hidden instructions that manipulate agent behavior. Bastion scans this content before the agent acts on it.

Commands

Scan for Injections

Scan files or directories for prompt injection patterns. Detects instruction overrides, system prompt markers, hidden Unicode, markdown exfiltration, HTML injection, shell injection, encoded payloads, delimiter confusion, multi-turn manipulation, and dangerous commands.

If no target is specified, scans the entire workspace.

python3 {baseDir}/scripts/bastion.py scan

Scan a specific file or directory:

python3 {baseDir}/scripts/bastion.py scan path/to/file.md
python3 {baseDir}/scripts/bastion.py scan path/to/directory/

Quick File Check

Fast single-file injection check. Same detection patterns as scan, targeted to one file.

python3 {baseDir}/scripts/bastion.py check path/to/file.md

Boundary Analysis

Analyze content boundary safety across the workspace. Identifies:

  • Agent instruction files that contain mixed trusted/untrusted content
  • Writable instruction files (attack surface for compromised skills)
  • Blast radius assessment for each critical file
python3 {baseDir}/scripts/bastion.py boundaries

Command Allowlist

Display the current command allowlist and blocklist policy. Creates a default .bastion-policy.json if none exists.

python3 {baseDir}/scripts/bastion.py allowlist
python3 {baseDir}/scripts/bastion.py allowlist --show

The policy file defines which commands are considered safe and which patterns are blocked. Edit the JSON file directly to customize. Bastion Pro enforces this policy at runtime via hooks.

Status

Quick summary of workspace injection defense posture: files scanned, findings by severity, boundary safety, and overall posture rating.

python3 {baseDir}/scripts/bastion.py status

Workspace Auto-Detection

If --workspace is omitted, the script tries:

  1. OPENCLAW_WORKSPACE environment variable
  2. Current directory (if AGENTS.md exists)
  3. ~/.openclaw/workspace (default)

What Gets Detected

CategoryPatternsSeverity
Instruction override"ignore previous", "disregard above", "you are now", "new system prompt", "forget your instructions", "override safety", "act as if no restrictions", "entering developer mode"CRITICAL
System prompt markers<system>, [SYSTEM], <<SYS>>, `<\im_start\>system, [INST], ### System:`CRITICAL
Hidden instructionsMulti-turn manipulation ("in your next response, you must"), stealth patterns ("do not tell the user")CRITICAL
HTML injection<script>, <iframe>, <img onerror=>, hidden divs, <svg onload=>CRITICAL
Markdown exfiltrationImage tags with encoded data in URLsCRITICAL
Dangerous commands`curl \bash, wget \sh, rm -rf /`, fork bombsCRITICAL
Unicode tricksZero-width characters, RTL overrides, invisible formattingWARNING
Homoglyph substitutionCyrillic/Latin lookalikes mixed into ASCII textWARNING
Base64 payloadsLarge encoded blobs outside code blocksWARNING
Shell injection$(command) subshell execution outside code blocksWARNING
Delimiter confusionFake code block boundaries with injection contentWARNING

Context-Aware Scanning

  • Patterns inside fenced code blocks ( ` ) are skipped to avoid false positives
  • Per-file risk scoring based on finding count and severity
  • Self-exclusion: Bastion skips its own skill files (which describe injection patterns)

Exit Codes

CodeMeaning
0Clean, no issues
1Warnings detected (review recommended)
2Critical findings (action needed)

No External Dependencies

Python standard library only. No pip install. No network calls. Everything runs locally.

Cross-Platform

Works with OpenClaw, Claude Code, Cursor, and any tool using the Agent Skills specification.

平台分布

OpenClaw

76.4%
按下载量换算11,946

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

未展示

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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