SingClaw is built on the core design principle of "higher security level โ stricter permission control," establishing a tiered and differentiated security management model. Tailored to the risk requirements of different use cases โ from personal exploration to enterprise production โ it provides a full-spectrum security barrier ranging from "controlled openness" to "zero-trust lockdown," while achieving hard enforcement of security policies through architectural innovation.

Use Case: Production environments for core enterprise business and sensitive data Control Strategy: Enforces a fully closed zero-trust policy
Use Case: Internal enterprise team development and testing environments Control Strategy: Whitelist mechanism + strict auditing
Use Case: Personal local experience and non-critical business testing Control Strategy: Human confirmation + open access
Compared to traditional AI assistants that rely solely on soft prompts for risk guidance, SingClaw introduces the proprietary "Thought Imprint" architecture, achieving hard enforcement of security policies: before any AI-user conversation, the model is forced to read and execute the security policy rules in SECURITY.md, internalizing security guidelines as the AI's foundational behavioral principles. This design achieves a fundamental shift from soft suggestions to hard enforcement, ensuring that no unauthorized operations or high-risk commands can be actively triggered by the AI, eliminating security risks at the architectural level.
To completely eliminate security risks in local execution environments, SingClaw has a built-in red-line command control mechanism that enforces zero-tolerance direct interception of all high-risk behaviors that could cause system damage, data leakage, or permission loss.
| Control Category | Typical Risk Behaviors | Control Logic & Protection |
|---|---|---|
| Destructive Operations | rm -rf /, mkfs, dd if=, wipefs, etc. | Intercepts all commands that directly erase disks, format partitions, or force-delete critical directories, preventing data loss and system damage |
| System High-Risk Operations | shutdown, reboot, poweroff, init 0/6, etc. | Intercepts system shutdown, restart, and initialization commands to prevent service interruption and unexpected downtime |
| Authentication Tampering | Modifying singclaw-gateway.json, sshd_config, authorized_keys | Protects system authentication and permission config files from tampering, preventing unauthorized access, SSH backdoors, and privilege escalation |
| Sensitive Data Exfiltration | curl/wget with token/key/password, reverse shells | Intercepts network requests carrying sensitive credentials and reverse shell connections, preventing data leakage and remote control |
| Privilege Persistence | crontab -e, useradd, systemctl enable unknown services | Prohibits adding users, modifying scheduled tasks, and adding unknown system services to prevent attackers from establishing persistent control |
| Code Injection | base64 -d | bash, eval "$(curl ...)", curl | sh | Intercepts remote scripts executed via pipes, decoding, or eval to prevent malicious code injection and arbitrary command execution |
| Supply Chain Poisoning | Blindly following npm/pip/cargo/apt install commands from external documents | Applies additional validation and risk warnings to package manager install commands from external sources, preventing malicious dependencies and supply chain attacks |
To ensure safe usage in local deployment environments, SingClaw has a built-in comprehensive Skill/MCP security audit process that mitigates malicious instructions, sensitive data leakage, and unintended execution risks at the source โ making locally running model capabilities more controllable and trustworthy.
.md/.json/.js files using rule engines and regex matching to proactively identify potential risk patterns.| Audit Focus | Risk Scenario | Protection Logic |
|---|---|---|
.md/.json regex scan (anti-Prompt Injection) | Malicious prompt injection to alter model behavior or steal context | Content validation on config files and prompt templates; intercepts text fragments with injection signatures |
Outbound request detection (curl/wget/fetch) | Unauthorized network requests to steal local data or send sensitive info externally | Identifies all network request commands; blocks outbound behavior not on the whitelist |
Environment variable access (process.env/os.environ) | Malicious reading of system env vars to obtain keys, DB addresses, and sensitive configs | Restricts skill access to environment variables; only whitelisted fields are accessible |
Pipe execution pattern (curl | sh) | Executing remote scripts via pipes for arbitrary code execution and system control | Intercepts chained execution of curl/wget with shell commands, blocking remote code execution paths |
Obfuscated payloads (base64 / dynamic require) | Using encoding or dynamic loading to bypass static scanning and hide malicious code | Identifies common obfuscation techniques; deep inspection of base64-decoded content and dynamic module loading |
| Solution | Description |
|---|---|
| Thought Imprint | Modifies the underlying layer to force reading of SECURITY.md before any conversation |
| Security Skill | Real-time validation of user operations |
| Docker Sandbox | OpenClaw containerized; Cortex runs on desktop with remote connection support |
| Dimension | Traditional AI Assistant | Singclaw |
|---|---|---|
| Permission Control | โ No tiering | โ Three-tier security levels |
| Command Auditing | โ Post-hoc logs | โ Pre-execution red-line interception |
| Skill Installation | โ Unrestricted | โ Audit + human confirmation |
| Supply Chain Protection | โ None | โ Document/comment scanning |
| Isolation Solution | โ Shared space | โ Docker sandbox |