prompt-shieldPrompt Injection Firewall for AI agents. 113 detection patterns, 14 threat categories, zero dependencies. Protects against fake authority, command injection, memory poisoning, skill malware, crypto spam, and more. Hash-chain tamper-proof whitelist with mandatory peer review. Claude Code hook integration.
Install via ClawdBot CLI:
clawdbot install stlas/prompt-shieldGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Accesses system directories or attempts privilege escalation
/etc/cronCalls external URL not in known-safe list
https://github.com/stlas/PromptShieldAI Analysis
The skill's primary function is defensive scanning for prompt injection, with no evidence of sending user data externally or containing hidden malicious instructions. The only external reference is a public GitHub repository for source code, which is consistent with its stated purpose and does not constitute data exfiltration.
Audited Apr 16, 2026 · audit v1.0
Generated Mar 1, 2026
Integrate PromptShield into AI-powered customer service platforms to filter malicious user inputs, such as fake system alerts or command injections, preventing unauthorized actions. This ensures safe interactions and maintains service integrity by blocking threats like social engineering and memory poisoning attempts.
Use PromptShield to scan user-generated content, such as comments and messages, for spam, crypto scams, and harmful prompts. It detects patterns like link spam and bot activity, helping platforms reduce moderation workload and protect users from phishing and engagement farming.
Deploy PromptShield in AI agent development pipelines to safeguard against prompt injection attacks during testing and deployment. It scans inputs for threats like skill malware and jailbreaks, ensuring agents operate securely in production without vulnerabilities from manipulative inputs.
Implement PromptShield in financial AI chatbots to block inputs containing crypto spam, fake authority commands, or credential harvesting attempts. This protects sensitive transactions and data by filtering out threats like email injection and fear triggers, maintaining regulatory compliance.
Integrate PromptShield into educational AI systems to prevent students from injecting malicious prompts or bypassing content filters. It detects patterns like cryptic language and structural abuse, ensuring a safe learning environment free from distractions like command injection or memory poisoning.
Offer PromptShield as a cloud-based service with tiered subscriptions based on scan volume and features like whitelist management. Revenue comes from monthly fees, targeting businesses needing scalable AI security without infrastructure overhead.
Provide a free open-source version with basic features, while charging for premium add-ons like advanced threat categories, priority support, and Claude Code hook integration. Revenue is generated from license sales and custom development services.
Monetize PromptShield through a pay-per-use API, where clients pay based on the number of text scans or batch processing requests. This model suits developers and platforms with variable usage, offering flexibility and low entry costs.
💬 Integration Tip
Start by testing with the CLI scan command to understand threat levels, then integrate the Claude Code hook for real-time input filtering in AI applications.
Scored May 17, 2026
Manage and operate ClawSec Monitor v3.0, a MITM HTTP/HTTPS proxy that logs AI agent traffic, detects exfiltration and injection threats in real time.
Scan Clawdbot and MCP skills for malware, spyware, crypto-miners, and malicious code patterns before you install them. Security audit tool that detects data exfiltration, system modification attempts, backdoors, and obfuscation techniques.
Security scanner for ClawHub skills. Vet third-party skills before installation — detect dangerous patterns, suspicious code, and risky dependencies.
Security audit and hardening for AI agents — credential hygiene, secret scanning, prompt injection defense, data leakage prevention, and privacy zones.
Scan OpenBot/Clawdbot skills for security vulnerabilities, malicious code, and suspicious patterns before installing them. Use when a user wants to audit a skill, check if a ClawHub skill is safe, scan for credential exfiltration, detect prompt injection, or review skill security. Triggers on security audit, skill safety check, malware scan, or trust verification.
OpenClaw skill discovery, security vetting & install. Searches 3000+ curated skills from ClawHub registry and awesome-openclaw-skills catalog. Scores credibility, detects prompt injection & malicious patterns, manages installations. Quick-checks GitHub for new skills.