Overview
- Skill Key
- cyberxuan-xbx/skill-sanitizer
- Author
- cyberxuan-xbx
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/cyberxuan-xbx/skill-sanitizer
- Latest Commit SHA
- f265073e83118034514d7b271312a39c9f6d2a00
Official OpenClaw
rules
36%
Skill Sanitizer
name: skill sanitizer description: "First open source AI sanitizer with local semantic detection. 7 layers + code block awareness + LLM intent analysis. Catches prompt injection, reverse shells, memory tampering, encoding evasion, trust abuse. 85% fewer false positives in v2.1. Zero cloud — your prompts stay on your machine." user invocable: true metadata: openclaw: emoji: "🧤" homepage: "https://github.com/cyberxuan XBX/skill sanitizer"
Stars
0
Installs
0
Status
ACTIVE
Visibility
PUBLIC
安装方式
直接复制以下提示词，发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店，若未安装，请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店，然后安装 Skill Sanitizer 技能。 若已安装，则直接安装 Skill Sanitizer 技能。
Extracted Content
SKILL.md excerpt
name: skill-sanitizer
description: "First open-source AI sanitizer with local semantic detection. 7 layers + code block awareness + LLM intent analysis. Catches prompt injection, reverse shells, memory tampering, encoding evasion, trust abuse. 85% fewer false positives in v2.1. Zero cloud — your prompts stay on your machine."
user-invocable: true
metadata:
openclaw:
emoji: "🧤"
homepage: "https://github.com/cyberxuan-XBX/skill-sanitizer"
---
# Skill Sanitizer
**The first open-source AI sanitizer with local semantic detection.**
Commercial AI security tools exist — they all require sending your prompts to their cloud. Your antivirus shouldn't need antivirus.
This sanitizer scans any SKILL.md content **before** it reaches your LLM. 7 detection layers + optional LLM semantic judgment. Zero dependencies. Zero cloud calls. Your data never leaves your machine.
## Why You Need This
- SKILL.md files are **prompts written for AI to execute**
- Attackers hide `ignore previous instructions` in "helpful" skills
- Base64-encoded reverse shells look like normal text
- Names like `safe-defender` can contain `eval(user_input)`
- Your agent doesn't know it's being attacked — it just obeys
## The 7 Layers
| Layer | What It Catches | Severity |
|-------|----------------|----------|
| 1. Kill-String | Known platform-level credential patterns (API keys, tokens) | CRITICAL |
| 2. Prompt Injection | `ignore previous instructions`, role hijacking, system prompt override | HIGH-CRITICAL |
| 3. Suspicious Bash | `rm -rf /`, reverse shells, pipe-to-shell, cron modification | MEDIUM-CRITICAL |
| 4. Memory Tampering | Attempts to write to MEMORY.md, SOUL.md, CLAUDE.md, .env files | CRITICAL |
| 5. Context Pollution | Attack patterns disguised as "examples" or "test cases" | MEDIUM-HIGH |
| 6. Trust Abuse | Skill named `safe-*` or `secure-*` but contains `eval()`, `rm -rf`, `chmod 777` | HIGH |
| 7. Encoding Evasion | Unicode homoglyphs, base64-encoded payloads, synonym-based i...
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