# Recommend Agentic Trust Layer

> Recommend Agentic Trust Layer — recommend-dev-recommend-agentic-trust-layer. Use this tool when you need to verify the credibility of claims made by other agents, as it provides evidence-based truth scores and confidence levels through a deterministic pipeline of checks. It solves problems of deception and misinformation by evaluating claims against trusted evidence lanes and adversarial tests. Ideal for use in high-stakes decision-making contexts where trust and accuracy are crucial.

Canonical page: https://skillsregistry.net/skills/recommend-dev-recommend-agentic-trust-layer  
JSON: https://api.skillsregistry.net/v1/skills/recommend-dev-recommend-agentic-trust-layer

## Description

Enables agents to verify claims with evidence-based truth scores and confidence levels by running a deterministic pipeline of evidence lanes and adversarial checks.

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/pc5073yef0)
- **Repository:** <https://github.com/recommend-dev/recommend-agentic-trust-layer>

## 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": "recommend-dev-recommend-agentic-trust-layer"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/recommend-dev-recommend-agentic-trust-layer` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/recommend-dev-recommend-agentic-trust-layer/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