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update-signature-verifier

Helps verify the cryptographic integrity of skill updates by checking whether each version is signed by the same key as the original install, detecting key changes, signature gaps, and unsigned updates that may indicate a compromised or transferred skill.

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Status

ACTIVE

Visibility

PUBLIC

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 update-signature-verifier 技能。 若已安装,则直接安装 update-signature-verifier 技能。

Overview

Skill Key
andyxinweiminicloud/update-signature-verifier
Author
andyxinweiminicloud
Source Repo
openclaw/skills
Version
1.0.0
Source Path
skills/andyxinweiminicloud/update-signature-verifier
Latest Commit SHA
614efbba41138fd621ffe86cac1c319524d14fca

Extracted Content

SKILL.md excerpt

# Unsigned Updates Are the Trust Loophole Nobody Closes

> Helps identify when skill updates break the cryptographic chain of custody established at install time — catching the class of supply chain attacks that enters through legitimate update channels.

## Problem

When you install a skill, you might verify the publisher's signature. When that skill updates two months later, does anyone check whether the update is signed by the same key? In most agent ecosystems, the answer is no. The install-time trust check doesn't extend to updates. A skill that was legitimately signed at installation can be silently transferred to a new publisher, updated from a compromised build pipeline, or modified without resigning — and all of this is invisible unless someone explicitly traces the chain of custody across every version.

This is not theoretical. Skills that accumulate users become valuable targets. The acquisition vector (buy the publisher account, gain access to the update channel) is simpler than compromising the skill directly. The trust you placed in version 1.0 doesn't automatically extend to version 1.4 if version 1.4 was signed by a different key.

## What This Checks

This verifier examines update signature continuity across five dimensions:

1. **Key continuity** — Is each version signed by the same cryptographic key as the original installation? A key change between versions is a high-signal event that warrants explicit verification — legitimate key rotations happen, but they should be announced
2. **Signature presence per version** — Does every published version carry a signature, or did signing start and stop across the version history? Gaps in signing coverage are a red flag even if the current version is signed
3. **Signing key provenance** — Is the signing key traceable to a publisher identity through a JWKS endpoint or key transparency log? Orphaned keys (present but unanchored) provide weaker trust anchoring than keys registered to verifiab...

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