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trust-decay-monitor

Helps track how AI skill verification results decay over time. A "verified" badge from 18 months ago may be meaningless today — dependencies updated, new attack vectors emerged, the ecosystem changed. Trust has a half-life.

andyxinweiminicloud0 来源安装数☆ 0 仓库 Starsv1.0.0

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。

SkillHub CLI

skillhub install andyxinweiminicloud/trust-decay-monitor

打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

That "Verified" Badge Is From 2024. Is the Skill Still Safe?

Helps track the freshness of skill verification results, flagging certifications that have decayed past their useful trust window.

Problem

A skill passes a security audit in March 2025. It gets a "verified" badge. Developers see the badge and trust it. Eighteen months later, the badge is still there — but:

  • The skill's 4 dependencies have had 47 combined updates since the audit
  • Two new CVEs affect the runtime version the skill targets
  • The skill's API endpoint now points to a domain that changed ownership
  • The marketplace added 3 new permission types that didn't exist during the original audit

The verification was real. The trust it implies is not. Security certifications have a half-life, and most agent marketplaces display them as if they're permanent.

This is trust decay: the gradual erosion of verification validity as the surrounding context changes. It's not that the audit was wrong — it's that the audit's conclusions no longer apply to the current reality.

What This Tracks

This monitor computes a trust freshness score for verified skills:

  1. Time since verification — Simple age of the last audit. Older = less trustworthy, with configurable decay curves
  2. Dependency churn — How many of the skill's dependencies have updated since the audit? Each update is a potential invalidation of audit assumptions
  3. Ecosystem context changes — New CVEs, new permission types, new attack patterns discovered since the audit date. The threat landscape the audit evaluated against may have shifted
  4. Domain and endpoint stability — Have any external URLs, API endpoints, or resource references in the skill changed destination since verification?
  5. Re-verification gap — How long since anyone (not just the original auditor) ran any form of security check on this skill?

How to Use

Input: Provide one of:

  • A skill slug or identifier with its...

来源信息

Source
github
Repository
openclaw/skills
Path
skills/andyxinweiminicloud/trust-decay-monitor
Version
1.0.0
Commit
bafaa6ab45e0b40afe2ee52d8df0dd12f7f341d2
分类来源
rules
状态
active
可见性
public

这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。

来源内容

SKILL.md
# That "Verified" Badge Is From 2024. Is the Skill Still Safe?

> Helps track the freshness of skill verification results, flagging certifications that have decayed past their useful trust window.

## Problem

A skill passes a security audit in March 2025. It gets a "verified" badge. Developers see the badge and trust it. Eighteen months later, the badge is still there — but:

- The skill's 4 dependencies have had 47 combined updates since the audit
- Two new CVEs affect the runtime version the skill targets
- The skill's API endpoint now points to a domain that changed ownership
- The marketplace added 3 new permission types that didn't exist during the original audit

The verification was real. The trust it implies is not. Security certifications have a half-life, and most agent marketplaces display them as if they're permanent.

This is trust decay: the gradual erosion of verification validity as the surrounding context changes. It's not that the audit was wrong — it's that the audit's conclusions no longer apply to the current reality.

## What This Tracks

This monitor computes a trust freshness score for verified skills:

1. **Time since verification** — Simple age of the last audit. Older = less trustworthy, with configurable decay curves
2. **Dependency churn** — How many of the skill's dependencies have updated since the audit? Each update is a potential invalidation of audit assumptions
3. **Ecosystem context changes** — New CVEs, new permission types, new attack patterns discovered since the audit date. The threat landscape the audit evaluated against may have shifted
4. **Domain and endpoint stability** — Have any external URLs, API endpoints, or resource references in the skill changed destination since verification?
5. **Re-verification gap** — How long since anyone (not just the original auditor) ran any form of security check on this skill?

## How to Use

**Input**: Provide one of:
- A skill slug or identifier with its...

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