# sentinel_trace

> sentinel_trace — naveensreekanth-sentinel-trace. Use this tool when you need to detect and prevent unsafe AI agent actions, and require explainable risk scoring and real-time containment. It solves problems related to injection detection and potential security breaches by providing a secure interface for monitoring and controlling AI agent activities. It takes in AI agent actions as input and outputs risk scores and containment alerts, making it ideal for use cases where security and reliability are paramount.

Canonical page: https://skillsregistry.net/skills/naveensreekanth-sentinel-trace  
JSON: https://api.skillsregistry.net/v1/skills/naveensreekanth-sentinel-trace

## Description

🛡️ Catch unsafe AI agent actions before they execute — explainable risk scoring, injection detection, and real-time containment powered by SigNoz & OpenTelemetry.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/naveensreekanth/sentinel_trace)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "naveensreekanth-sentinel-trace"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/naveensreekanth-sentinel-trace` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/naveensreekanth-sentinel-trace/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt