Secure-Vector

Securevector AI Threat Monitor — Security skill for Claude Code

Security community

Security & Observability for AI Agents — audit every tool call, enforce allow/block policies, catch prompt injection and data leaks.

How to install Securevector AI Threat Monitor

This entry records only its repository, not the path inside it, so there is no exact command to give. Open Secure-Vector/securevector-ai-threat-monitor and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Securevector AI Threat Monitor does

Security & Observability for AI Agents — audit every tool call, enforce allow/block policies, catch prompt injection and data leaks. Local-first; works with Claude Code, Codex, Copilot CLI, OpenClaw, LangChain, and all major LLM APIs.

Alternatives in Security

Anthropic Cybersecurity Skills — 734+ structured cybersecurity skills for AI agents · MITRE ATT&CK mapped · agentskills.io open standard · Work 3.8k ★
Agentseal — Security toolkit for AI agents 344 ★
UX Critique — Open-ended taste call on a specific surface 66 ★

README

SecureVector

Security and Observability for AI Agents

Every model call and every tool call your agent makes, on one timeline, with a security verdict on each. On your machine.

[![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg?style=for-the-badge)](https://opensource.org/licenses/Apache-2.0) [![PyPI](https://img.shields.io/pypi/v/securevector-ai-monitor.svg?style=for-the-badge)](https://pypi.org/project/securevector-ai-monitor) [![Python](https://img.shields.io/pypi/pyversions/securevector-ai-monitor.svg?style=for-the-badge)](https://pypi.org/project/securevector-ai-monitor) [![Downloads/month](https://img.shields.io/pypi/dm/securevector-ai-monitor?style=for-the-badge&label=downloads%2Fmonth&color=orange)](https://pypistats.org/packages/securevector-ai-monitor) [![Downloads total](https://img.shields.io/pepy/dt/securevector-ai-monitor?style=for-the-badge&label=downloads%20total&color=orange)](https://pepy.tech/project/securevector-ai-monitor) [![Discord](https://img.shields.io/badge/Discord-Join%20Community-5865F2?style=for-the-badge&logo=discord&logoColor=white)](https://discord.gg/k3bgZuCQBC)

Two lines of Python

pip install "securevector-ai-monitor[app]"
securevector-app --web

from securevector import guard, instrument

instrument()   # patches the OpenAI and Anthropic clients you already use

with guard.session("ticket-8812", user_id="u-42"):
    reply = client.chat.completions.create(model="gpt-4o", messages=messages)

Open [http://localhost:8741](http://localhost:8741) and every model call is there: model, tokens, cost, duration, finish reason, a verdict, and a redacted preview of the prompt and the response. Every `@guard` tool call nests under the model turn that asked for it.

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