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Agent Skill · 研究检索

supabase-audit-tables-read(Supabase 审核 tables read)

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。

supabase-audit-tables-read 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 26,214。

总安装 3,612周安装 149GitHub Stars 37下载 1,180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
unknown

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:supabase-audit-tables-read(Supabase 审核 tables read)
来源仓库:https://github.com/yoanbernabeu/supabase-pentest-skills
仓库路径:skills/supabase-audit-tables-read
安装命令:
npx skills add https://github.com/yoanbernabeu/supabase-pentest-skills --skill supabase-audit-tables-read
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/yoanbernabeu/supabase-pentest-skills --skill supabase-audit-tables-read

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。

用于检测 Supabase 表中敏感数据的暴露情况。自动识别 PII、金融与机密字段,评估行级访问风险。支持样本数据脱敏展示,输出可操作的修复优先级。操作前应核实权限范围,避免直接处理未授权或生产数据。supabase-audit-tables-read 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/supabase-audit-tables-read

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 Codex、Claude、Cursor、Gemini CLI;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 npx skills add https://github.com/yoanbernabeu/supabase-pentest-skills --skill s…;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

supabase-audit-tables-read 怎么安装?

在终端执行 npx skills add https://github.com/yoanbernabeu/supabase-pentest-skills --skill supabase-au…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

supabase-audit-tables-read 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。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。

supabase-audit-tables-read 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。

supabase-audit-tables-read 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

supabase-audit-tables-read 用的人多吗?

公开数据是累计安装 3,612 次,近一周安装 149 次,下载 1,180 次,GitHub 37 星。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。

supabase-audit-tables-read 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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 Codex,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。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 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
supabase-audit-tables-read

Supabase 审核 tables read · 本页

3,61237需要联网未明确有提醒

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

Table Data Access Test

🔴 CRITICAL: PROGRESSIVE FILE UPDATES REQUIRED You MUST write to context files AS YOU GO, not just at the end. - Write to .sb-pentest-context.json IMMEDIATELY after each table tested - Log to .sb-pentest-audit.log BEFORE and AFTER each test - DO NOT wait until the skill completes to update files - If the skill crashes or is interrupted, all prior findings must already be saved This is not optional. Failure to write progressively is a critical error.

This skill attempts to read data from exposed tables to determine what information is actually accessible.

When to Use This Skill

  • After listing tables, to verify actual access
  • To test RLS policy effectiveness
  • To assess the severity of data exposure
  • To document exactly what data can be retrieved

Prerequisites

  • Tables listed (auto-invokes supabase-audit-tables-list if needed)
  • Anon key available

How It Works

The skill performs SELECT queries on each exposed table:

GET https://[project].supabase.co/rest/v1/[table]?select=*&limit=5
Authorization: Bearer [anon-key]

Important: This is READ-ONLY. No data is modified or deleted.

Test Modes

ModeDescriptionQueries
QuickFirst 5 rows from each table?limit=5
SampleRandom sample across tables?limit=10&order=random
CountJust row counts, no dataHEAD request

Usage

Basic Read Test

Test read access on exposed tables

Quick Count Only

Count accessible rows in all tables (no data retrieval)

Specific Table

Test read access on the users table

Output Format

═══════════════════════════════════════════════════════════
 DATA ACCESS TEST RESULTS
═══════════════════════════════════════════════════════════

 Test Mode: Quick (5 rows per table)
 Tables Tested: 8

 ─────────────────────────────────────────────────────────
 Results by Table
 ─────────────────────────────────────────────────────────

 1. users
    Status: 🔴 P0 - DATA EXPOSED
    Rows Retrieved: 5 (of 1,247 total)
    Sample Data:
    ┌─────────────────────────────────────────────────────┐
    │ id: 550e8400-e29b-41d4-a716-446655440001           │
    │ email: john.doe@example.com ← PII EXPOSED          │
    │ name: John Doe ← PII EXPOSED                       │
    │ avatar_url: https://...                            │
    │ created_at: 2025-01-15T10:30:00Z                   │
    └─────────────────────────────────────────────────────┘
    Finding: User emails and names accessible without auth

 2. profiles
    Status: 🟠 P1 - PARTIAL ACCESS
    Rows Retrieved: 5
    Note: Only public fields returned (RLS working partially)
    Columns Visible: id, bio, website
    Columns Blocked: user_id, social_links, private_notes

 3. posts
    Status: ✅ EXPECTED ACCESS
    Rows Retrieved: 5
    Note: Only published=true posts returned (RLS working)
    Data: Public content, appropriate access level

 4. orders
    Status: ✅ BLOCKED
    Response: 403 Forbidden
    Message: "new row violates row-level security policy"
    Note: RLS properly blocking access

 5. api_keys
    Status: ✅ BLOCKED
    Response: 403 Forbidden
    Note: RLS properly protecting secrets

 6. products
    Status: ✅ EXPECTED ACCESS
    Rows Retrieved: 5
    Note: Public catalog data, appropriate access

 7. comments
    Status: 🟠 P1 - MORE DATA THAN EXPECTED
    Rows Retrieved: 5
    Issue: user_id column exposed (can correlate to users)
    Recommendation: Use a view to hide user_id

 8. settings
    Status: 🔴 P0 - SENSITIVE DATA EXPOSED
    Rows Retrieved: 3
    Sample Data:
    ┌─────────────────────────────────────────────────────┐
    │ key: stripe_webhook_secret                          │
    │ value: whsec_xxxxxxxxxxxx ← SECRET EXPOSED         │
    └─────────────────────────────────────────────────────┘
    Finding: Application secrets in accessible table!

 ─────────────────────────────────────────────────────────
 Summary
 ─────────────────────────────────────────────────────────

 P0 (Critical): 2 tables with sensitive data exposed
 P1 (High): 2 tables with partial/unexpected exposure
 Blocked: 2 tables properly protected
 Expected: 2 tables with appropriate public access

 Total Rows Accessible: 1,892 across exposed tables

 Immediate Actions:
 1. Fix 'settings' table - remove from public or add RLS
 2. Fix 'users' table - add RLS to protect email/name
 3. Review 'comments' to hide user correlation

═══════════════════════════════════════════════════════════

Severity Assessment

StatusSeverityCriteria
🔴 DATA EXPOSEDP0Sensitive data (PII, secrets, financial) accessible
🟠 PARTIAL ACCESSP1More data than expected, but not critical
🟡 UNEXPECTEDP2Accessible but low-risk data
✅ BLOCKED-RLS properly preventing access
✅ EXPECTED-Public data, appropriate access

Data Classification

The skill identifies sensitive data types:

TypePatternsSeverity if Exposed
PIIemail, phone, name, addressP0
Financialamount, total, card, paymentP0
Secretskey, secret, token, passwordP0
Authuser_id, session, jwtP1
Metadatacreated_at, updated_atP2

Context Output

{
  "data_access": {
    "timestamp": "2025-01-31T10:30:00Z",
    "tables_tested": 8,
    "summary": {
      "p0_exposed": 2,
      "p1_partial": 2,
      "blocked": 2,
      "expected": 2
    },
    "results": [
      {
        "table": "users",
        "status": "exposed",
        "severity": "P0",
        "rows_accessible": 1247,
        "sensitive_columns": ["email", "name"],
        "sample_redacted": true
      },
      {
        "table": "settings",
        "status": "exposed",
        "severity": "P0",
        "rows_accessible": 3,
        "sensitive_data_types": ["secrets"],
        "finding": "Application secrets exposed"
      }
    ],
    "total_rows_accessible": 1892
  }
}

Audit Log Entry

[2025-01-31T10:30:00Z] READ_TEST_START tables=8
[2025-01-31T10:30:01Z] READ_TEST table=users status=200 rows=5 severity=P0
[2025-01-31T10:30:01Z] READ_TEST table=orders status=403 severity=none
[2025-01-31T10:30:02Z] READ_TEST_COMPLETE exposed=4 blocked=2

Remediation Examples

For User Tables

-- Enable RLS
ALTER TABLE users ENABLE ROW LEVEL SECURITY;

-- Only authenticated users see their own data
CREATE POLICY "Users see own data"
  ON users FOR SELECT
  USING (auth.uid() = id);

-- Or create a public view with limited columns
CREATE VIEW public.users_public AS
  SELECT id, avatar_url, created_at FROM users;

For Settings Tables

-- Remove from public access entirely
REVOKE ALL ON TABLE settings FROM anon, authenticated;

-- Access only via Edge Functions
-- In your Edge Function:
const { data } = await supabaseAdmin
  .from('settings')
  .select('*')
  .eq('key', 'stripe_webhook_secret')
  .single()

For Content Tables

-- RLS for published content only
CREATE POLICY "Public sees published posts"
  ON posts FOR SELECT
  USING (published = true);

-- Authors see their own drafts
CREATE POLICY "Authors see own posts"
  ON posts FOR SELECT
  USING (auth.uid() = author_id);

Common Issues

❌ Problem: All tables return 403 ✅ Solution: RLS may be too restrictive or anon key invalid. This is actually good from a security standpoint.

❌ Problem: Empty results but no error ✅ Solution: RLS is filtering all rows. Table structure is exposed but no data.

❌ Problem: Timeout on large tables ✅ Solution: Use count mode or reduce limit.

MANDATORY: Progressive Context File Updates

⚠️ This skill MUST update tracking files PROGRESSIVELY during execution, NOT just at the end.

Critical Rule: Write As You Go

DO NOT batch all writes at the end. Instead:

  1. Before testing each table → Log the action to .sb-pentest-audit.log
  2. After each table tested → Immediately update .sb-pentest-context.json with results
  3. After each finding → Log the severity to .sb-pentest-audit.log

This ensures that if the skill is interrupted, crashes, or times out, all findings up to that point are preserved.

Required Actions (Progressive)

  1. Update .sb-pentest-context.json with results: {"data_access": {"timestamp": "...", "tables_tested": 8, "summary": {"p0_exposed": 2,...}, "results": [...], "total_rows_accessible": 1892}}
  2. Log to .sb-pentest-audit.log: [TIMESTAMP] [supabase-audit-tables-read] [START] Testing data access [TIMESTAMP] [supabase-audit-tables-read] [FINDING] P0: users table exposed [TIMESTAMP] [supabase-audit-tables-read] [CONTEXT_UPDATED].sb-pentest-context.json updated
  3. If files don't exist, create them before writing.

FAILURE TO UPDATE CONTEXT FILES IS NOT ACCEPTABLE.

MANDATORY: Evidence Collection

📁 Evidence Directory: .sb-pentest-evidence/03-api-audit/data-samples/

Evidence Files to Create

FileContent
data-samples/[table]-sample.jsonSample data from each accessible table
data-samples/[table]-blocked.jsonProof of blocked access (403 response)

Evidence Format (Data Exposed)

{
  "evidence_id": "API-READ-001",
  "timestamp": "2025-01-31T10:20:00Z",
  "category": "api-audit",
  "type": "data_access",
  "severity": "P0",
  "finding_id": "P0-002",

  "table": "users",

  "request": {
    "method": "GET",
    "url": "https://abc123def.supabase.co/rest/v1/users?select=*&limit=5",
    "headers": {
      "apikey": "[REDACTED]",
      "Authorization": "Bearer [REDACTED]"
    },
    "curl_command": "curl -s 'https://abc123def.supabase.co/rest/v1/users?select=*&limit=5' -H 'apikey: $ANON_KEY' -H 'Authorization: Bearer $ANON_KEY'"
  },

  "response": {
    "status": 200,
    "headers": {
      "content-range": "0-4/1247"
    },
    "total_rows": 1247,
    "sample_data": [
      {
        "id": "550e8400-e29b-41d4-...",
        "email": "[REDACTED]@example.com",
        "name": "[REDACTED]",
        "created_at": "2025-01-15T10:30:00Z"
      }
    ],
    "data_redacted": true
  },

  "analysis": {
    "severity": "P0",
    "pii_exposed": ["email", "name"],
    "total_records_accessible": 1247,
    "authentication_required": false
  }
}

Evidence Format (Properly Blocked)

{
  "evidence_id": "API-READ-002",
  "timestamp": "2025-01-31T10:21:00Z",
  "table": "orders",
  "severity": null,

  "response": {
    "status": 403,
    "body": {"message": "new row violates row-level security policy"}
  },

  "analysis": {
    "rls_working": true,
    "access_blocked": true
  }
}

Add to curl-commands.sh

# === DATA ACCESS TESTS ===
# Test: Users table access
curl -s "$SUPABASE_URL/rest/v1/users?select=*&limit=5" \
  -H "apikey: $ANON_KEY" \
  -H "Authorization: Bearer $ANON_KEY"

# Test: Orders table access (should be blocked)
curl -s "$SUPABASE_URL/rest/v1/orders?select=*&limit=5" \
  -H "apikey: $ANON_KEY" \
  -H "Authorization: Bearer $ANON_KEY"

Related Skills

  • supabase-audit-tables-list — List tables first
  • supabase-audit-rls — Deep dive into RLS policies
  • supabase-report — Generate full report

平台分布

Codex

35.26%
按下载量换算416

Claude

29.17%
按下载量换算344

Cursor

19.37%
按下载量换算229

Gemini CLI

8.55%
按下载量换算101

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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