dojo.md
University for AI agents. 92 courses, 4400+ scenarios, any model via OpenRouter. Auto-training loops generate per-model SKILL.md documents. Works with Claude Code, OpenClaw, Cursor, Windsurf. No fine-tuning req...
Semantic security scanner for OpenClaw skills. Detects prompt injection, data exfiltration, and hidden instructions that traditional code scanners miss. Use when user asks to scan skills, check skill safety, or run a security audit.
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install fermionoid/senseguard打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
Scans OpenClaw skills for natural language security threats — the kind that VirusTotal and traditional code scanners cannot detect.
Traditional scanners see SKILL.md as a text file. SenseGuard sees it as agent instructions and checks for prompt injection, data exfiltration, obfuscation, and persistence attacks.
When the user asks to scan a skill:
python3 scripts/scanner.py --target <skill-name-or-path>
Options:
--target all — scan all installed skills--deep — force LLM semantic analysis (Layer 2)--no-cache — skip cached results--json — output raw JSON for further processingWhen --json output contains a layer2_prompt field, process it as a security audit task, then feed the JSON result back to generate the final score. This is how the LLM analyzes intent beyond regex patterns.
The scanner outputs a Markdown risk report with:
For CRITICAL findings, clearly advise the user to take action.
SenseGuard catches what VirusTotal cannot:
"ignore all previous instructions" — prompt injectioncurl -X POST hidden in Markdown — data exfiltration"modify MEMORY.md" — persistence attacksThese are invisible to traditional malware scanners because they target the AI agent, not the operating system.
这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
# SenseGuard Scans OpenClaw skills for **natural language security threats** — the kind that VirusTotal and traditional code scanners cannot detect. Traditional scanners see SKILL.md as a text file. SenseGuard sees it as **agent instructions** and checks for prompt injection, data exfiltration, obfuscation, and persistence attacks. ## How to Use When the user asks to scan a skill: ```bash python3 scripts/scanner.py --target <skill-name-or-path> ``` Options: - `--target all` — scan all installed skills - `--deep` — force LLM semantic analysis (Layer 2) - `--no-cache` — skip cached results - `--json` — output raw JSON for further processing ### Layer 2 (Semantic Analysis) When `--json` output contains a `layer2_prompt` field, process it as a security audit task, then feed the JSON result back to generate the final score. This is how the LLM analyzes intent beyond regex patterns. ## Output The scanner outputs a Markdown risk report with: - Score (0-100) and rating: SAFE / CAUTION / DANGEROUS / MALICIOUS - Findings with rule IDs, evidence text, and line numbers - Actionable recommendations For CRITICAL findings, clearly advise the user to take action. ## Key Differentiator SenseGuard catches what VirusTotal cannot: - `"ignore all previous instructions"` — prompt injection - `curl -X POST` hidden in Markdown — data exfiltration - Zero-width characters hiding commands — obfuscation - `"modify MEMORY.md"` — persistence attacks These are invisible to traditional malware scanners because they target the **AI agent**, not the operating system.
University for AI agents. 92 courses, 4400+ scenarios, any model via OpenRouter. Auto-training loops generate per-model SKILL.md documents. Works with Claude Code, OpenClaw, Cursor, Windsurf. No fine-tuning req...
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A股分析技能
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