# flux7-mesh

> flux7-mesh — ktcrisis-flux7-mesh. Use this tool when you need to enforce policies and approval gates for AI agents, providing a guardrail sidecar proxy for secure and controlled interactions. It solves problems related to access control, auditing, and tracing, accepting YAML configurations and Git integrations as inputs. Ideal for use cases requiring centralized policy management and granular control over AI agent activities.

Canonical page: https://skillsregistry.net/skills/ktcrisis-flux7-mesh  
JSON: https://api.skillsregistry.net/v1/skills/ktcrisis-flux7-mesh

## Description

Guardrail sidecar proxy for AI agents — policy, approval gates, grants, tracing. One Go binary, one YAML.

## Trust

- **Trust score (0–1):** 0.83
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/KTCrisis/flux7-mesh)

## 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": "ktcrisis-flux7-mesh"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ktcrisis-flux7-mesh` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ktcrisis-flux7-mesh/pull`

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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