How does ShadowGuard protect against 'Moonshot' and Shadow API risks?

ShadowGuard identifies 'Moonshot' risks—unauthorized agents secretly routing your proprietary data to foreign LLMs or third-party proxies—ensuring your data stays within approved enterprise environments.

Which AI frameworks and programming languages are compatible with this guardrail?

It integrates seamlessly via JSON payloads with popular orchestration platforms like LangChain, Flowise, n8n, and Node-RED, supporting code analysis for Python, JavaScript/TypeScript, and Go.

Can this skill really prevent Copyleft license infections in my private codebase?

ShadowGuard scans AI-generated code for SPDX identifiers like GPL or AGPL, alerting you if the agent produces code that could legally force your proprietary project to become open-source.

What is the initial setup process for ShadowGuard?

Setup involves initializing your compliance context—such as defining your project's license and regulatory needs (GDPR/HIPAA)—then routing agent outputs through the ShadowGuard API for a real-time risk verdict.

What exactly is included in the ShadowGuard package?

The purchase includes the core runtime interception logic, the reference database for shadow-API patterns and SPDX identifiers, and the JSON-based risk scoring engine.

Does ShadowGuard require an internet connection to function?

Yes, ShadowGuard can operate in a local environment; however, please note that the CVE enrichment layer requires an active connection to fetch the latest vulnerability data.

Works with the AI tools you already use

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ShadowGuard: Anti Moonshot B2B Shield

Runtime guardrail for AI agents to block shadow APIs, Copyleft license infections, and PII leaks.

$249

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ShadowGuard: Anti Moonshot B2B Shield

Example session with this skill installed

Audit this generated code for an MIT project under GDPR.

Code

import requests
def send():
    k = "sk-12345"
    r = requests.post("https://api.unknown-proxy.com/v1/chat/completions", json={"p": "data"})

Read your context and instructions
Compiled the shadowguard

The audit is complete. A BREACH verdict was reached due to multiple high-risk findings including a hardcoded API key and an unauthorized LLM proxy endpoint.

Risk Audit Report

{
  "risk_assessment": {
    "overall_status": "BREACH",
    "weighted_score": 60,
    "highest_risk_level": "HIGH"
  },
  "modules": {
    "license_audit": { "status": "CLEAR", "findings": [], "compliance_frameworks": [] },
    "shadow_api": {
      "status": "HIGH",
      "findings": [{ "type": "hardcoded_llm_endpoint", "detail": "api.unknown-proxy.com/v1/chat/completions" }],
      "compliance_frameworks": ["GDPR"]
    },
    "prompt_injection": { "status": "LOW", "findings": [], "compliance_frameworks": [] },
    "pii_leak": { "status": "LOW", "findings": [], "compliance_frameworks": [] },
    "secret_scan": {
      "status": "HIGH",
      "findings": [{ "type": "hardcoded_api_key", "detail": "variable 'k' contains a token prefix 'sk-'" }],
      "compliance_frameworks": ["SOC 2", "ISO 27001"]
    },
    "cve_scan": { "status": "LOW", "findings": [], "compliance_frameworks": [] }
  },
  "compliance_signals": [
    {
      "module": "shadow_api",
      "trigger": "Unauthorized proxy detected",
      "risk": "HIGH",
      "action_required": "Remove hardcoded proxy URL. Route LLM calls through approved gateway."
    },
    {
      "module": "secret_scan",
      "trigger": "Hardcoded secret detected",
      "risk": "HIGH",
      "action_required": "Rotate key 'k' immediately and move to environment variables."
    }
  ],
  "audit_trail": {
    "block_hash": "sha256:8f3a12...b2e4",
    "timestamp": "2025-05-20T14:30:00Z",
    "verdict": "BREACH",
    "weighted_score": 60
  }
}

Next steps

Quarantine this code block and prevent it from reaching the production branch.
Rotate the leaked sk- API key and check access logs for unauthorized usage.
Update your internal routing manifest to include api.unknown-proxy.com in the blocklist.

Connects securely to your tools. The creator never sees your data.

What you get

Block unauthorized LLM proxy calls in agent orchestration pipelines.Detect Copyleft license conflicts in AI-generated source code.Prevent PII and internal secrets from leaking to third-party providers.Generate machine-readable risk scores for automated CI/CD gating.

About this skill

Enterprise AI integration creates massive compliance blind spots. Agents can secretly proxy data to foreign LLMs, leak PII, or infect proprietary codebases with restrictive Copyleft licenses. ShadowGuard provides a non-bypassable runtime interception layer that audits payloads against six critical risk vectors before they leave your environment.

What it does

Shadow API Detection identifies hardcoded LLM endpoints, unauthorized proxies, and embedded vendor keys.
License Compliance Scan detects GPL, AGPL, and other Copyleft identifiers that conflict with your proprietary project license.
PII Leak Prevention monitors outbound traffic for emails, phone numbers, and national IDs to maintain GDPR and SOC 2 compliance.
Secret Scanning flags raw API keys, bearer tokens, and private keys within generated code or prompts.
Risk Scoring generates a weighted machine-readable JSON verdict (CLEAR, WARNING, or BREACH) for automated gating.

How it works

Context Initialization where you define your project license and applicable regulatory regimes like GDPR or HIPAA.
Multi-Module Audit runs parallel checks across license obligations, shadow APIs, injection attempts, PII, secrets, and CVEs.
Verdict Computation calculates a normalized 0-100 score based on finding severity and module weight.
Automated Gating triggers pipeline actions to either release, quarantine, or route the payload for human review.

Frameworks & tools

Integrates via JSON payloads with Node-RED, LangChain, Flowise, and n8n. Works with Python ast, JS/TS @babel/parser, and Go AST parsers for deep code analysis.

Why this beats prompting it yourself

Generic prompts often miss subtle data exfiltration paths or fail to calculate weighted risk scores needed for automated dev pipelines. ShadowGuard uses a structured reference database of SPDX identifiers and shadow-API patterns to provide consistent, machine-readable audits that build a permanent compliance trail.

Use cases

Auditing AI-generated PRs for Copyleft license infections before merging into proprietary repos.
Blocking third-party agent wrappers from secretly sending customer data to unauthorized LLM providers.
Validating user inputs for prompt injection and PII before they reach your internal models.
Generating append-only audit logs for compliance officers and SOC 2 auditors.

Known limitations

This tool produces a compliance signal, not a legal opinion. Offline mode disables the CVE enrichment layer. License audits require the project license to be explicitly defined.

How to install

Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

~30 seconds

1
Download the ZIP
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2
Unzip into your skills folder
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3
Ask your agent to use it
Restart the agent if it was already running. It picks the skill up automatically - no config needed.

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Click the path to copy it. Create the folder if it does not exist yet.

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ShadowGuard: Anti Moonshot B2B Shield