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skills-firewall技能防火墙

Agent Skill

skills-firewall 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。

总安装

9,778

周安装

420

GitHub Stars

公开资料未说明

下载量

3,427
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:skills-firewall(技能防火墙)
来源仓库:https://github.com/huzibbs/skills-firewall
安装命令:
openclaw skills install skills-firewall
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 skills-firewall

简介

用于自动阻止和过滤恶意或潜在有害技能的安全防护工具。

  • 适合在 OpenClaw 中扫描安全威胁、保护系统环境时使用。
  • 可识别并拦截高风险技能,降低运行风险。
  • 安装前应评估其对现有技能加载的影响。
  • 需定期检查更新以应对新型威胁。skills-firewall 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
skills-firewall
description
Security firewall for skills that automatically blocks and filters malicious or potentially harmful skills. Use when:

Skills Firewall

A security firewall that automatically blocks and filters malicious or potentially harmful skills by analyzing code patterns, detecting security threats, and enforcing security policies.

Quick Start

Scan a Single Skill

python scripts/scan_skill.py /path/to/skill

Check Firewall Decision

python scripts/firewall_check.py /path/to/skill

Generate Security Report

python scripts/generate_report.py /path/to/skills --format text

Core Workflows

1. Security Scanning

Scan skills for potential security threats:

# Scan single skill
python scripts/scan_skill.py ./my-skill

# Scan all skills in directory
python scripts/scan_skill.py ./skills

# JSON output for automation
python scripts/scan_skill.py ./my-skill --json

Threat Levels:

  • SAFE - No security concerns
  • LOW - Minor concerns, generally safe
  • MEDIUM - Moderate concerns, review recommended
  • HIGH - Significant risks, blocking recommended
  • CRITICAL - Severe threats, must block

2. Firewall Filtering

Check and filter skills based on security rules:

# Check single skill
python scripts/firewall_check.py ./my-skill

# Filter all skills
python scripts/firewall_check.py ./skills

# Add to allowed list
python scripts/firewall_check.py ./my-skill --allow

# Add to blocked list
python scripts/firewall_check.py ./my-skill --block

Actions:

  • allow - Skill passes firewall
  • warn - Skill has warnings but allowed
  • block - Skill is blocked
  • quarantine - Skill isolated for review

3. Security Reports

Generate comprehensive security reports:

# Text report
python scripts/generate_report.py ./skills

# JSON report
python scripts/generate_report.py ./skills --format json

# HTML report
python scripts/generate_report.py ./skills --format html --output report.html

Detection Categories

The firewall detects threats in these categories:

CategoryExamplesSeverity
Code Injectioneval(), exec(), __import__()HIGH
Command Executionsubprocess shell=True, os.system()HIGH
Credential ExposureHardcoded passwords, API keysCRITICAL
Network CommunicationHTTP requests, socket connectionsMEDIUM
File OperationsFile deletion, modificationMEDIUM
Deserializationpickle.loads, unsafe yaml.loadHIGH
Privilege Escalationsudo, chmod 777HIGH
ObfuscationBase64 decoding, encodingLOW

Configuration

Export/Import Config

# Export current config
python scripts/firewall_check.py ./skills --export-config firewall.yaml

# Use custom config
python scripts/firewall_check.py ./skills --config firewall.yaml

Config File Format

default_action: warn
allowed_skills:
  - skill-creator
  - weather
blocked_skills:
  - malicious-skill
quarantine_dir: ./quarantine
rules:
  - name: block_eval
    description: Block eval() usage
    patterns:
      - "eval("
    action: block
    enabled: true

Reference Documentation

Programmatic Usage

from scan_skill import scan_skill, ThreatLevel
from firewall_check import SkillsFirewall, ActionType

# Scan a skill
result = scan_skill("/path/to/skill")
print(f"Threat Level: {result.threat_level}")
print(f"Is Safe: {result.is_safe}")

# Use firewall
firewall = SkillsFirewall()
decision = firewall.check_skill("/path/to/skill")
print(f"Action: {decision.action}")
print(f"Reason: {decision.reason}")

# Manage lists
firewall.add_allowed_skill("trusted-skill")
firewall.add_blocked_skill("malicious-skill")

# Create custom rule
firewall.create_rule(
    name="block_custom_pattern",
    description="Block custom dangerous pattern",
    patterns=["dangerous_function("],
    action=ActionType.BLOCK
)

Best Practices

  1. Scan Before Use: Always scan new skills before installation
  2. Review Warnings: Investigate warning-level findings
  3. Update Rules: Keep detection patterns current
  4. Document Exceptions: Record why skills are allowed/blocked
  5. Regular Audits: Run periodic security scans
  6. Use Reports: Generate reports for compliance and review

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

77.7%
按下载量换算2,663

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

未展示

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 skills-firewall 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 warning/failed 结果,不能写成本站确认安全。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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