# trust-decay-monitor

> trust-decay-monitor — andyxinweiminicloud-trust-decay-monitor. Use this tool when you need to monitor the degradation of AI skill verification results over time, solving problems related to maintaining model accuracy and reliability. It takes in historical verification data as input and outputs decay rates and trends, enabling informed decisions on model retraining and updates. Ideal for use in applications where AI model performance is critical and time-sensitive.

Canonical page: https://skillsregistry.net/skills/andyxinweiminicloud-trust-decay-monitor  
JSON: https://api.skillsregistry.net/v1/skills/andyxinweiminicloud-trust-decay-monitor

## Description

Helps track how AI skill verification results decay over time.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** monitoring
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/andyxinweiminicloud-trust-decay-monitor)

## 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": "andyxinweiminicloud-trust-decay-monitor"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/andyxinweiminicloud-trust-decay-monitor` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/andyxinweiminicloud-trust-decay-monitor/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