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Agent Skill · 研究检索

attestation-root-diversity-analyzer(认证根多样性分析器)

用于辅助测试设计、自动化测试、用例整理和回归验证。它适合让 Agent 编写单元测试、端到端测试、测试计划或根据失败日志定位问题。使用时需要确认项目测试框架、运行命令和夹具数据,避免为了通过测试而改坏真实逻辑;涉及浏览器或外部服务时,应区分本地模拟、测试环境和生产环境。

attestation-root-diversity-analyzer 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为权限未标注;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 10,233。

总安装 12,912周安装 549GitHub Stars 公开资料未说明下载 4,524核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:attestation-root-diversity-analyzer(认证根多样性分析器)
来源仓库:https://github.com/andyxinweiminicloud/attestation-root-diversity-analyzer
安装命令:
openclaw skills install attestation-root-diversity-analyzer
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install attestation-root-diversity-analyzer

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

attestation-root-diversity-analyzer 衡量技能证明图中信任根的集中度与多样性。适用于降低单点故障风险、增强系统韧性的架构评估场景。帮助识别过度依赖单一认证源的潜在威胁。

安装命令为 openclaw skills install attestation-root-diversity-analyzer,无外部调用。分析结果仅供内部参考,不构成正式安全结论。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install attestation-root-diversity-analyzer;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    权限没有明确标注,第一次使用时只给一个无关紧要的任务,观察它到底读了哪些文件和网络。

常见问题

6 条

attestation-root-diversity-analyzer 怎么安装?

在终端执行 openclaw skills install attestation-root-diversity-analyzer。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

attestation-root-diversity-analyzer 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

attestation-root-diversity-analyzer 需要什么权限?

权限级别没有明确标注。第一次使用时建议只给无关紧要的任务,观察它实际读写了哪些内容。

attestation-root-diversity-analyzer 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

attestation-root-diversity-analyzer 用的人多吗?

公开数据是累计安装 12,912 次,近一周安装 549 次,下载 4,524 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

attestation-root-diversity-analyzer 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
attestation-root-diversity-analyzer

认证根多样性分析器 · 本页

12,912—权限未标注MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
attestation-root-diversity-analyzer
description
>
version
1.0.0
metadata
openclaw
requires
bins
[curl, python3]
env
[]
emoji
🌐

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 inherently invalid, but it must be disclosed and weighted appropriately
  3. Organizational diversity — Are the distinct roots associated with independent organizations, or do multiple roots trace back to the same controlling entity through different organizational names?
  4. Effective validator count — After accounting for convergence, how many truly independent validators contribute to the skill's trust score? A skill with 12 badges from 3 organizations has an effective count of 3, not 12
  5. Structural fragility score — If the highest-concentration root were compromised, what percentage of the skill's attestation graph would be invalidated?

How to Use

Input: Provide one of:

  • A skill identifier with its attestation metadata
  • A trust graph (validator chain, root identifiers) to analyze
  • Two skills to compare relative root concentration

Output: A root diversity report containing:

  • Root concentration index (0 = fully distributed, 1 = single root)
  • Attestation graph visualization (text-based)
  • Self-attestation flags
  • Organizational diversity assessment
  • Effective validator count
  • Structural fragility score
  • Diversity verdict: DISTRIBUTED / CONCENTRATED / MONOCULTURE / SELF-ATTESTING

Example

Input: Analyze attestation root diversity for workflow-automator skill

🌐 ATTESTATION ROOT DIVERSITY ANALYSIS

Skill: workflow-automator
Attestation badges: 7
Audit timestamp: 2025-04-20T14:00:00Z

Trust graph structure:
  Badge A → Validator-1 → Root-Alpha (publisher-org)
  Badge B → Validator-2 → Root-Alpha (publisher-org)
  Badge C → Validator-3 → Root-Alpha (publisher-org)
  Badge D → Validator-4 → Root-Beta (third-party)
  Badge E → Validator-5 → Root-Beta (third-party)
  Badge F → Validator-6 → Root-Alpha (publisher-org)  ← affiliate
  Badge G → Validator-7 → Root-Gamma (community)

Root concentration analysis:
  Root-Alpha (publisher-org): 4/7 paths (57%) → publisher + 3 affiliated validators
  Root-Beta (third-party): 2/7 paths (29%)
  Root-Gamma (community): 1/7 paths (14%)

Herfindahl index: 0.57² + 0.29² + 0.14² = 0.42
  (0 = perfect distribution, 1 = single root)
  Classification: CONCENTRATED (threshold: >0.33 = concentrated)

Self-attestation: ⚠️ DETECTED
  Root-Alpha is publisher-org — publisher attests to its own skill
  3 of 7 badges trace directly to publisher-controlled validators

Organizational diversity:
  Distinct organizations: 3 (publisher-org, third-party, community)
  Effective independent: 2 (publisher-org counts as 1 despite 4 paths)
  Effective validator count: 2.4 (weighted by independence)

Structural fragility:
  If Root-Alpha were compromised: 4/7 badges (57%) invalidated
  Residual trust: Root-Beta (29%) + Root-Gamma (14%) = 43%

Diversity verdict: CONCENTRATED
  7 badges with 3 roots, but effective independence is 2.4 validators.
  Root-Alpha concentration exceeds recommended threshold for high-impact
  skills. Self-attestation by publisher reduces independence further.

Recommended actions:
  1. Require minimum 2 non-publisher roots for full DISTRIBUTED status
  2. Disclose self-attestation presence in badge display
  3. Weight Root-Alpha badges at 0.5× for concentration-aware scoring
  4. Target Root-Gamma growth to reduce Alpha concentration below 0.33

Related Tools

  • attestation-chain-auditor — Validates chain integrity and completeness; root diversity analyzer measures whether that chain's roots are structurally independent
  • transparency-log-auditor — Checks whether signing events are independently auditable; diverse roots are more valuable when each root's behavior is logged
  • publisher-identity-verifier — Verifies publisher identity; publisher as self-attesting root is a specific concentration risk to flag
  • trust-velocity-calculator — Quantifies trust decay rate; concentrated attestation graphs decay faster when a root is compromised

Limitations

Root diversity analysis requires access to the full attestation graph, including the organizational relationships between validators — data that many current marketplaces do not expose. Where only the leaf badges are visible and root relationships must be inferred, the analysis is necessarily approximate. Organizational independence is difficult to verify programmatically: two organizations with different names may share effective control. The Herfindahl-based concentration measure is a useful heuristic, not a definitive security assessment — the appropriate threshold depends on the risk profile of the capability being attested. A concentrated attestation graph is a structural concern, not a confirmation of compromise; it means the trust infrastructure is more fragile, not that it has already failed.

平台分布

OpenClaw

88.32%
按下载量换算3,996

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

权限未标注

当前来源未能明确判断权限范围,默认进入异常复核队列。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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