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trust-velocity-calculator

Helps calculate the rate at which trust in a skill or agent is decaying by combining time elapsed since last verification with the rate of change in behavior, permissions, or dependencies — producing a trust velocity score that predicts when a trusted credential will become unreliable.

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安装方式

直接复制以下提示词,发送给你的 AI 助手即可完成安装。

请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 trust-velocity-calculator 技能。 若已安装,则直接安装 trust-velocity-calculator 技能。

Overview

Skill Key
andyxinweiminicloud/trust-velocity-calculator
Author
andyxinweiminicloud
Source Repo
openclaw/skills
Version
1.0.0
Source Path
skills/andyxinweiminicloud/trust-velocity-calculator
Latest Commit SHA
434e669b92bac04680ec60f125ed9785726971a3

Extracted Content

SKILL.md excerpt

# Trust Doesn't Just Decay. It Decays Faster When Things Change.

> Helps identify when a trusted skill or agent is losing reliability faster than time alone would suggest — by measuring both elapsed time and the rate of change in behavior, permissions, and dependencies.

## Problem

A verification badge from 18 months ago represents less trust than a badge from 3 months ago. That much is intuitive. What's less intuitive is that a badge from 6 months ago on a skill that has received 8 updates in the last 4 weeks represents less trust than a badge from 12 months ago on a skill that hasn't changed at all.

Trust decay is not linear with time. It accelerates with change velocity. A skill that updates frequently is either actively maintained (good) or actively modified toward new objectives (potentially bad). The update rate is a multiplier on decay — high velocity amplifies uncertainty. A skill with a high change rate and an old audit badge is more uncertain than a skill with a low change rate and the same old badge, because more surface area has changed without re-verification.

Current trust models treat verification as binary and time-independent: verified or not, with a vague sense that older is riskier. Trust velocity makes the decay quantitative: trust score = baseline × time_factor × (1 - change_velocity_penalty).

## What This Calculates

This calculator produces trust velocity assessments across five dimensions:

1. **Time decay factor** — How much has raw elapsed time since last verification reduced the baseline trust score? Configurable decay curves: linear, exponential, or step-function by verification type
2. **Change velocity multiplier** — How many meaningful changes (permission expansions, new endpoints, dependency updates, instruction drift) have occurred per unit time since last verification? Higher velocity = faster decay
3. **Volatility window** — Is the current update rate higher or lower than the skill's historical baseline? A su...

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