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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 source installs☆ 0 Repository starsv1.0.0

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install andyxinweiminicloud/trust-decay-monitor

Inspect the source and compatibility requirements, then follow its installation steps.

Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.

View source ↗Guides

Skill instructions

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...

Source information

Source
github
Repository
openclaw/skills
Path
skills/andyxinweiminicloud/trust-decay-monitor
Version
1.0.0
Commit
bafaa6ab45e0b40afe2ee52d8df0dd12f7f341d2
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

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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