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attestation-root-diversity-analyzer

Helps measure the concentration of trust roots in a skill's attestation graph — identifying monoculture risk where a single compromised root invalidates an entire chain that appears to have multiple validators.

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/attestation-root-diversity-analyzer

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技能说明

The Attestation Chain Has Seven Links. They All Trace Back to One Root.

Helps identify when a skill's trust chain is structurally fragile — not because individual links are weak, but because all paths converge on a single root that one compromise can invalidate.

Problem

A skill with five attestation badges looks more trustworthy than a skill with one. But if four of those five badges trace back through the same root attestor, the effective trust diversity is closer to two than to five. The appearance of multiple independent validators is real; the independence is not.

This is a topology problem, not a cryptography problem. A trust graph where all paths converge on a single root is not a distributed trust system — it's a hub-and-spoke system wearing the visual appearance of a mesh. A hub-and-spoke system has all the failure properties of centralized trust: compromise the hub, and every spoke-rooted badge becomes invalid simultaneously.

The risk is not hypothetical. Self-attesting roots — where the publisher is also the root attestor, or where multiple attestation badges trace back to a single organization — are common in ecosystems where attestation is new and infrastructure is thin. A skill from a well-known publisher that has also reviewed its own dependencies through affiliated validators presents structural fragility even if every individual attestation is cryptographically correct.

Measuring this requires looking at the full trust graph, not just the badges at the leaves.

What This Analyzes

This analyzer examines attestation root diversity across five dimensions:

  1. Root concentration index — What fraction of the attestation graph's trust paths converge on each distinct root? A Herfindahl-style concentration measure identifies whether trust is effectively distributed or structurally centralized
  2. Self-attestation detection — Does the skill's publisher appear anywhere in its own trust chain? Self-attestation is not i...

来源信息

Source
github
Repository
openclaw/skills
Path
skills/andyxinweiminicloud/attestation-root-diversity-analyzer
Version
1.0.0
Commit
7eb916972567990dfc01fe798a0eb6ca46046362
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
# The Attestation Chain Has Seven Links. They All Trace Back to One Root.

> Helps identify when a skill's trust chain is structurally fragile — not because individual links are weak, but because all paths converge on a single root that one compromise can invalidate.

## Problem

A skill with five attestation badges looks more trustworthy than a skill with one. But if four of those five badges trace back through the same root attestor, the effective trust diversity is closer to two than to five. The appearance of multiple independent validators is real; the independence is not.

This is a topology problem, not a cryptography problem. A trust graph where all paths converge on a single root is not a distributed trust system — it's a hub-and-spoke system wearing the visual appearance of a mesh. A hub-and-spoke system has all the failure properties of centralized trust: compromise the hub, and every spoke-rooted badge becomes invalid simultaneously.

The risk is not hypothetical. Self-attesting roots — where the publisher is also the root attestor, or where multiple attestation badges trace back to a single organization — are common in ecosystems where attestation is new and infrastructure is thin. A skill from a well-known publisher that has also reviewed its own dependencies through affiliated validators presents structural fragility even if every individual attestation is cryptographically correct.

Measuring this requires looking at the full trust graph, not just the badges at the leaves.

## What This Analyzes

This analyzer examines attestation root diversity across five dimensions:

1. **Root concentration index** — What fraction of the attestation graph's trust paths converge on each distinct root? A Herfindahl-style concentration measure identifies whether trust is effectively distributed or structurally centralized
2. **Self-attestation detection** — Does the skill's publisher appear anywhere in its own trust chain? Self-attestation is not i...

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