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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 installations selon la source☆ 0 Étoiles du dépôtv1.0.0

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install andyxinweiminicloud/attestation-root-diversity-analyzer

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

Instructions

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...

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/andyxinweiminicloud/attestation-root-diversity-analyzer
Version
1.0.0
Commit
7eb916972567990dfc01fe798a0eb6ca46046362
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

Contenu extrait

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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