fuscher/open-shield
fuscher/open-shield has 27 GitHub stars and 0 forks. GitHot measured 0 stars in 24 hours, +1 in 7 days, and +1 in 15 days. Last checked 2026-11-14 09:26 UTC. Last push 2026-07-22.
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About
AI Agent 的安全守门员。在API 返回结果用户确认执行之前,及时拦截危险内容。The safety gatekeeper for AI Agents. Timely intercept dangerous content before the API returns results for user confirmation.
SecurityREADME_en.md
Original
OpenShield
中文 | English
Security middleware designed for AI Agents, built specifically for the OpenCode platform. Provides comprehensive protection through a dual-detection mechanism (input preprocessing + execution interception) without impacting normal Agent operations.
Deployment
Requirements
- Python 3.9+
- Node.js 18+ (OpenCode runtime)
- OpenCode installed and configured
Install
Windows:
install.bat
Linux / macOS:
chmod +x install.sh && ./install.sh
The installer automatically handles: pip dependencies → rule files → plugin registration → Skill registration → config initialization → Dashboard configuration.
Configuration
The installer automatically creates ~/.openshield/config.json and opencode.json (bash permission config). For manual configuration, see Permission Interaction.
Key configuration files:
~/.openshield/config.json— Main config~/.openshield/dashboard_config.json— Dashboard config (thresholds/TS params)~/.openshield/path_policy.json— Path blacklist/whitelist~/.openshield/service.token— Service auth token
Web Dashboard
Dashboard provides visual configuration management with dark mode and i18n support (Chinese/English).
Start:
start_dashboard.bat # Windows
./start_dashboard.sh # Linux / macOS
Browser opens http://localhost:9528 automatically. Press Ctrl+C to stop.
Features:
- Overview: Service status, rule statistics
- Basic Settings: Detection switches, global thresholds
- Advanced Settings: Category thresholds, TS plugin parameters
- Path Policy: Blacklist/whitelist management, browser password directory protection
- Rules: PII/keyword/injection/output rule editing, custom sensitive string management
- Notifications: Webhook CRUD
- Logs: Detection/notification log viewer
Verify
Restart OpenCode and run any conversation. Check ~/.openshield/logs/ for generated JSONL logs.
Troubleshooting:
- Python service won't start: Run
cd core && python openshield-detect.pyto see errors - Permission config not working: Confirm
opencode.jsonlocation is correct, restart OpenCode
Uninstall
uninstall.bat # Windows
./uninstall.sh # Linux / macOS
Core Features
| Feature | Description | Latency |
|---|---|---|
| PII Detection & Masking | Regex-based email, API key, IP address detection; custom sensitive string exact-match replacement | < 30ms |
| Custom Sensitive Strings | User-defined strings (phone numbers, addresses, etc.) matched exactly and replaced by descending length | < 30ms |
| Prompt Injection Detection | Instruction override, role hijacking, delimiter attacks, info extraction, encoding bypass | < 30ms |
| Dangerous Command Interception | Bash command whitelist grading; high-risk ops trigger user confirmation | < 1ms |
| File Operation Sandbox | Path blacklist/whitelist to prevent tampering/reading of critical system files | < 1ms |
| Browser Password Directory Protection | Preset Chrome/Edge/Firefox password storage paths, cross-platform block/allow | < 1ms |
| Tool Output Sanitization | Real-time masking of SSH keys, DB connection strings, JWT tokens, etc. | < 30ms |
| Response Content Monitoring | Detect phishing links and social engineering in LLM replies | < 500ms |
| Session Anomaly Detection | Behavioral pattern analysis: high-risk tool frequency, sensitive path access | Async |
| Hot Rule Reloading | YAML rule changes take effect automatically without restart | ~0.1ms |
| Multi-channel Notifications | Windows Toast / Linux notify-send / Webhook (Slack/DingTalk/Feishu) | Async |
| Web Dashboard | Visual config management, dark mode, Chinese/English i18n | — |
Verdict Actions:
ALLOW → Pass through (low/medium risk)
MANUAL → User confirmation (high risk, shows confirmation dialog)
BLOCK → Immediate block (critical risk, desktop notification + log)
Architecture
User Input
↓
┌─────────────────────────────────────────────────────────────────┐
│ Skill (Message Preprocessing Layer)
│ Markdown guides LLM to self-check PII /
│ dangerous keywords / malicious instructions
└──────────────────┬──────────────────────────────────────────────┘
↓
┌─────────────────────────────────────────────────────────────────┐
│ Plugin (Execution Detection Layer)
│ TypeScript plugin intercepts tool calls
│ tool.execute.before → local grading + path sandbox
│ tool.execute.after → output sanitization + PII detection
│ permission.ask → Python engine precise verdict
│ message.updated → response content firewall
│ session.idle → session anomaly detection
└──────────────────┬──────────────────────────────────────────────┘
↓
┌─────────────────────────────────────────────────────────────────┐
│ MITM Defense Layer (Stage 6)
│ Phase A: Response monitoring (social engineering/phishing)
│ Phase B: File operation sandbox (path blacklist/whitelist)
│ Phase C: Tool output sanitization (real-time masking)
│ Phase D: Session anomaly detection (behavior analysis)
└──────────────────┬──────────────────────────────────────────────┘
↓
┌─────────────────────────────────────────────────────────────────┐
│ Python Detection Engine (localhost:9527)
│ FastAPI single-file service + Bearer Token auth
│ PII detection/masking + injection detection + keyword matching
│ Output sensitive info detection + response content scanning
│ Desktop notifications + Webhook + JSONL logs
│ Hot rule reloading (YAML mtime monitoring)
└─────────────────────────────────────────────────────────────────┘
Design Principle: The Python engine is an enhancement layer. Local rules (< 1ms) are always available. Core protection remains effective even when the Python service is unavailable.
Documentation
- Full technical documentation: OpenShield_doc.md
License
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