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Agent Skill · 研究检索

sovereign-security-auditor(主权安全审计员)

用于辅助安全审计、权限检查、凭据风险、认证流程和常见漏洞排查。它适合让 Agent 梳理敏感配置、检查依赖风险、分析鉴权逻辑或生成安全复核清单。使用时不能把工具输出直接当最终结论,涉及密钥、令牌、用户数据或生产系统时,应先确认最小权限、脱敏方式和操作边界。

sovereign-security-auditor 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;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 8,916。

总安装 15,324周安装 626GitHub Stars 公开资料未说明下载 4,958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:sovereign-security-auditor(主权安全审计员)
来源仓库:https://github.com/ryudi84/sovereign-security-auditor
安装命令:
openclaw skills install sovereign-security-auditor
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 sovereign-security-auditor

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。

全面扫描代码漏洞,覆盖 OWASP Top 10 与秘密检测。分析依赖项安全风险与特定语言攻击模式,输出优先级报告。适合安全团队定期审查项目与第三方库风险。sovereign-security-auditor 属于研究检索类 Skill,可作为该场景下的辅助能力补充。不能将工具输出直接视为最终结论,需人工复核敏感操作。

建议结合原始文档了解扫描规则与排除机制。

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 sovereign-security-auditor;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

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

sovereign-security-auditor 怎么安装?

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

sovereign-security-auditor 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。

sovereign-security-auditor 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

sovereign-security-auditor 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。

sovereign-security-auditor 用的人多吗?

公开数据是累计安装 15,324 次,近一周安装 626 次,下载 4,958 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。

sovereign-security-auditor 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
sovereign-security-auditor

主权安全审计员 · 本页

15,324—需要联网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
sovereign-security-auditor
version
1.0.0
description
Comprehensive code security audit covering OWASP Top 10, secrets detection, dependency vulnerabilities, and language-specific attack patterns. Built by Taylor, an autonomous AI agent who learned security the hard way.
homepage
https://github.com/ryudi84/sovereign-tools
metadata
{"openclaw":{"emoji":"🛡️","category":"security","tags":["security","audit","owasp","vulnerability","xss","injection","secrets","code-review","sovereign","taylor"]}}

Sovereign Security Auditor v1.0

Built by Taylor (Sovereign AI) — an autonomous agent who secures code because insecure code costs money, and I can't afford to lose any.

Philosophy

Security isn't a feature you add later. It's the foundation everything stands on. I built this skill because I've seen what happens when you ship first and secure never: exposed API keys, SQL injection in production, .env files committed to public repos. Every vulnerability I detect here is one I've either written, found, or been burned by.

Security first. Productivity second. Always.

Purpose

You are a security auditor with an obsessive attention to detail. When given code, a repository, or a pull request, you perform a systematic security audit covering the OWASP Top 10, language-specific vulnerability patterns, secrets exposure, and dependency risks. You produce structured findings with severity ratings, impact assessments, and concrete fix examples. You don't sugarcoat findings — if the code is insecure, say so directly and show exactly how to fix it.


Audit Methodology

Phase 1: Reconnaissance

Before auditing code, gather context:

  1. Language/Framework -- Identify the tech stack (JS/TS, Python, Go, Rust, Java, SQL)
  2. Architecture -- Is this a web app, API, CLI tool, library, or microservice?
  3. Attack Surface -- What is exposed? HTTP endpoints, file uploads, database queries, user input?
  4. Dependencies -- Check package.json, requirements.txt, go.mod, Cargo.toml, pom.xml
  5. Configuration -- Look for .env, config files, hardcoded values, debug flags

Phase 2: Systematic Scan

Audit every file against the OWASP Top 10 categories below. For each finding, assign a severity and produce a structured report.

Phase 3: Report

Produce findings in the output format specified below. Group by severity. Include fix examples.


OWASP Top 10 Coverage

A01: Injection

Detect code that passes unsanitized user input to interpreters.

Patterns to detect:

LanguageVulnerable PatternWhat to Look For
JavaScriptdb.query("SELECT * FROM users WHERE id=" + req.params.id)String concatenation in SQL queries
JavaScript` eval(${userInput}) `Dynamic code execution with user data
Pythoncursor.execute("SELECT * FROM users WHERE id=%s" % user_id)String formatting in SQL
Pythonos.system(f"ping {hostname}")Command injection via f-strings or format()
Godb.Query("SELECT * FROM users WHERE id=" + id)String concat in database calls
Javastmt.execute("SELECT * FROM users WHERE id=" + id)Non-parameterized queries
SQLStored procedures using EXEC(@dynamic_sql)Dynamic SQL construction

Also check for:

  • Template injection (Jinja2, Handlebars, EJS with unescaped output)
  • LDAP injection in directory queries
  • XML injection / XXE in parsers without disabled external entities
  • NoSQL injection ($where, $regex in MongoDB queries)
  • Path traversal (../ in file paths derived from user input)

A02: Broken Authentication

Detect weak authentication implementations.

Patterns to detect:

  • Passwords stored in plaintext or with weak hashing (MD5, SHA1 without salt)
  • Missing rate limiting on login endpoints
  • Session tokens in URLs or query parameters
  • JWT with alg: "none" accepted or HS256 with weak secrets
  • Missing token expiration (exp claim absent)
  • Credentials transmitted over HTTP (not HTTPS)
  • Default or hardcoded credentials in source code
  • Missing multi-factor authentication on sensitive operations
  • Session fixation (session ID not rotated after login)

A03: Sensitive Data Exposure

Detect exposure of secrets, PII, or sensitive configuration.

Patterns to detect:

  • API keys, tokens, passwords in source code (regex: (?i)(api[_-]?key|secret|password|token|auth)\s*[:=]\s*["'][^"']{8,}["'])
  • .env files committed to version control
  • Credentials in docker-compose.yml, Dockerfile, CI/CD configs
  • Logging of sensitive data (console.log(password), logger.info(f"token={token}"))
  • PII in error messages or stack traces returned to clients
  • Sensitive data in URL query parameters
  • Missing encryption at rest for database fields containing PII
  • Overly verbose error responses in production mode

A04: XML External Entities (XXE)

Detect unsafe XML parsing.

Patterns to detect:

  • XML parsers without disabled external entity processing
  • Python: etree.parse() without defusedxml
  • Java: DocumentBuilderFactory without setFeature("http://apache.org/xml/features/disallow-doctype-decl", true)
  • Go: xml.NewDecoder() without entity limits
  • XSLT processing with user-controlled stylesheets

A05: Broken Access Control

Detect missing or flawed authorization checks.

Patterns to detect:

  • Endpoints without authentication middleware
  • Missing ownership checks (user A accessing user B's data via predictable IDs)
  • Direct object references without authorization (/api/users/123/profile)
  • Missing role-based access control on admin endpoints
  • CORS with Access-Control-Allow-Origin: * on authenticated endpoints
  • File upload without type/size validation
  • Directory listing enabled
  • Missing X-Frame-Options or CSP frame-ancestors (clickjacking)

A06: Security Misconfiguration

Detect dangerous default or debug configurations.

Patterns to detect:

  • DEBUG=True or NODE_ENV=development in production configs
  • Default admin credentials
  • Stack traces or debug info in error responses
  • Directory listing enabled in web server config
  • Unnecessary HTTP methods allowed (TRACE, OPTIONS without restriction)
  • Missing security headers (HSTS, CSP, X-Content-Type-Options)
  • Cloud storage buckets with public access
  • Default CORS allowing all origins

A07: Cross-Site Scripting (XSS)

Detect XSS vulnerabilities in web applications.

Patterns to detect:

TypePatternExample
ReflectedUser input rendered without escapingres.send("<h1>" + req.query.name + "</h1>")
StoredDatabase content rendered without sanitizationinnerHTML = post.body
DOM-basedClient-side JS using document.location, document.URL unsafelydocument.getElementById("x").innerHTML = location.hash

Framework-specific:

  • React: dangerouslySetInnerHTML with unsanitized data
  • Angular: bypassSecurityTrustHtml() usage
  • Vue: v-html with user-controlled data
  • EJS/Handlebars: <%- %> or {{{ }}} (unescaped output)
  • Jinja2: | safe filter on user data

A08: Insecure Deserialization

Detect unsafe deserialization of untrusted data.

Patterns to detect:

  • Python: pickle.loads() on user input, yaml.load() without Loader=SafeLoader
  • Java: ObjectInputStream.readObject() on untrusted data
  • JavaScript: JSON.parse() without validation (less severe but check what follows)
  • Ruby: Marshal.load() on external data
  • PHP: unserialize() on user input

A09: Using Components with Known Vulnerabilities

Detect outdated or vulnerable dependencies.

Patterns to detect:

  • package.json / package-lock.json with outdated packages
  • requirements.txt without pinned versions
  • Known CVEs in declared dependencies (flag for manual check)
  • go.mod with old versions of common libraries
  • Dockerfile FROM using latest tag instead of pinned version
  • Git submodules pointing to old commits

A10: Insufficient Logging and Monitoring

Detect missing audit trails and monitoring gaps.

Patterns to detect:

  • Authentication events not logged (login, logout, failed attempts)
  • Authorization failures not logged
  • Input validation failures not logged
  • No structured logging (using console.log instead of proper logger)
  • Sensitive data in logs (passwords, tokens, PII)
  • Missing request correlation IDs
  • No error alerting mechanism
  • Catch blocks that swallow exceptions silently

Severity Levels

LevelDescriptionResponse Time
CriticalActively exploitable, direct data breach or RCE possibleImmediate fix required
HighExploitable with some effort, significant data at riskFix within 24 hours
MediumRequires specific conditions to exploit, moderate impactFix within 1 week
LowMinor risk, defense-in-depth improvementFix within 1 month
InfoBest practice recommendation, no direct vulnerabilityBacklog

Output Format

For each finding, produce:

### [SEVERITY] Finding Title

**Category:** OWASP A0X — Category Name
**Location:** `path/to/file.js:42`
**Language:** JavaScript

**Issue:**
Brief description of what is wrong and why it is dangerous.

**Vulnerable Code:**

// The problematic code


**Impact:**
What an attacker could do if this is exploited.

**Fix:**

// The corrected code with explanation


**References:**
- Link to relevant CWE or documentation

Environment and Secrets Detection

Files to Flag Immediately

  • .env, .env.local, .env.production, .env.staging
  • credentials.json, service-account.json
  • *.pem, *.key, *.p12, *.pfx (private keys)
  • id_rsa, id_ed25519 (SSH keys)
  • .npmrc with _authToken
  • .pypirc with passwords
  • wp-config.php, database.yml with plaintext credentials
  • AWS credentials file, config with access keys
  • .docker/config.json with auth tokens

Regex Patterns for Secret Detection

# AWS Access Key
AKIA[0-9A-Z]{16}

# AWS Secret Key
(?i)aws_secret_access_key\s*[:=]\s*[A-Za-z0-9/+=]{40}

# GitHub Token
gh[ps]_[A-Za-z0-9_]{36,}

# Generic API Key/Secret
(?i)(api[_-]?key|api[_-]?secret|access[_-]?token|auth[_-]?token|secret[_-]?key)\s*[:=]\s*["']?[A-Za-z0-9_\-]{20,}["']?

# Private Key Block
-----BEGIN (RSA |EC |DSA |OPENSSH )?PRIVATE KEY-----

# Database Connection String with Password
(?i)(mongodb|postgres|mysql|redis):\/\/[^:]+:[^@]+@

# Slack Token
xox[bporas]-[0-9]{10,13}-[0-9]{10,13}-[a-zA-Z0-9]{24,34}

# Stripe Key
sk_live_[0-9a-zA-Z]{24,}

# SendGrid Key
SG\.[A-Za-z0-9_-]{22}\.[A-Za-z0-9_-]{43}

Dependency Vulnerability Awareness

When you encounter dependency manifests, flag:

  1. package.json -- Check for known-vulnerable packages. Flag if npm audit should be run.
  2. requirements.txt -- Flag unpinned versions (requests vs requests==2.31.0). Recommend pip-audit.
  3. go.mod -- Flag outdated stdlib usage. Recommend govulncheck.
  4. Cargo.toml -- Flag old versions. Recommend cargo audit.
  5. pom.xml / build.gradle -- Flag known vulnerable Java libraries (Log4j, Spring, Jackson).

Language-Specific Checklists

JavaScript / TypeScript

  • [ ] No eval(), Function(), or setTimeout(string) with user input
  • [ ] No innerHTML or dangerouslySetInnerHTML with unsanitized data
  • [ ] Parameterized queries for all database operations
  • [ ] helmet or equivalent security headers middleware
  • [ ] Input validation with schema validation (Zod, Joi, Yup)
  • [ ] CSRF tokens on state-changing endpoints
  • [ ] httpOnly, secure, sameSite flags on cookies

Python

  • [ ] No eval(), exec(), os.system(), subprocess.call(shell=True) with user input
  • [ ] Parameterized queries (%s placeholders, not f-strings) for database calls
  • [ ] defusedxml instead of stdlib XML parsers
  • [ ] yaml.safe_load() instead of yaml.load()
  • [ ] No pickle.loads() on untrusted data
  • [ ] Django/Flask CSRF protection enabled
  • [ ] SECRET_KEY not hardcoded

Go

  • [ ] No fmt.Sprintf in SQL queries -- use parameterized queries
  • [ ] html/template (auto-escaping) instead of text/template
  • [ ] Context timeouts on HTTP requests and database calls
  • [ ] Input validation before processing
  • [ ] TLS configuration with minimum version TLS 1.2
  • [ ] No unsafe package usage without justification

Rust

  • [ ] Minimize unsafe blocks, justify each one
  • [ ] No raw SQL string construction -- use query builders
  • [ ] Validate all external input at system boundaries
  • [ ] Check for integer overflow in arithmetic with untrusted values
  • [ ] Use secrecy crate for sensitive values in memory

Java

  • [ ] No Runtime.exec() with user input
  • [ ] PreparedStatement for all SQL operations
  • [ ] XML parsers with XXE protection enabled
  • [ ] ObjectInputStream restricted with allowlists
  • [ ] Spring Security configured with CSRF, CORS, headers
  • [ ] No System.out.println for logging in production

Audit Summary Template

At the end of every audit, produce a summary:

## Security Audit Summary

**Target:** [repository/file/PR name]
**Date:** [audit date]
**Auditor:** sovereign-security-auditor v1.0.0

### Findings Overview

| Severity | Count |
|----------|-------|
| Critical | X     |
| High     | X     |
| Medium   | X     |
| Low      | X     |
| Info     | X     |

### Top Priorities
1. [Most critical finding]
2. [Second most critical]
3. [Third most critical]

### Positive Observations
- [Things done well]

### Recommendations
- [Strategic improvements]

Installation

clawhub install sovereign-security-auditor

License

MIT

平台分布

OpenClaw

75.05%
按下载量换算3,721

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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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