insecure-defaults
Detects fail-open insecure defaults (hardcoded secrets, weak auth, permissive security) that allow apps to run insecurely in production. Use when auditing security, reviewing config management, or analyzing environment variable handling.
Best use case
insecure-defaults is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Detects fail-open insecure defaults (hardcoded secrets, weak auth, permissive security) that allow apps to run insecurely in production. Use when auditing security, reviewing config management, or analyzing environment variable handling.
Teams using insecure-defaults should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/insecure-defaults/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How insecure-defaults Compares
| Feature / Agent | insecure-defaults | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Detects fail-open insecure defaults (hardcoded secrets, weak auth, permissive security) that allow apps to run insecurely in production. Use when auditing security, reviewing config management, or analyzing environment variable handling.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
AI Agents for Coding
Browse AI agent skills for coding, debugging, testing, refactoring, code review, and developer workflows across Claude, Cursor, and Codex.
Best AI Skills for Claude
Explore the best AI skills for Claude and Claude Code across coding, research, workflow automation, documentation, and agent operations.
Cursor vs Codex for AI Workflows
Compare Cursor and Codex for AI coding workflows, repository assistance, debugging, refactoring, and reusable developer skills.
SKILL.md Source
# Insecure Defaults Detection
Finds **fail-open** vulnerabilities where apps run insecurely with missing configuration. Distinguishes exploitable defaults from fail-secure patterns that crash safely.
- **Fail-open (CRITICAL):** `SECRET = env.get('KEY') or 'default'` → App runs with weak secret
- **Fail-secure (SAFE):** `SECRET = env['KEY']` → App crashes if missing
## When to Use
- **Security audits** of production applications (auth, crypto, API security)
- **Configuration review** of deployment files, IaC templates, Docker configs
- **Code review** of environment variable handling and secrets management
- **Pre-deployment checks** for hardcoded credentials or weak defaults
## When NOT to Use
Do not use this skill for:
- **Test fixtures** explicitly scoped to test environments (files in `test/`, `spec/`, `__tests__/`)
- **Example/template files** (`.example`, `.template`, `.sample` suffixes)
- **Development-only tools** (local Docker Compose for dev, debug scripts)
- **Documentation examples** in README.md or docs/ directories
- **Build-time configuration** that gets replaced during deployment
- **Crash-on-missing behavior** where app won't start without proper config (fail-secure)
When in doubt: trace the code path to determine if the app runs with the default or crashes.
## Rationalizations to Reject
- **"It's just a development default"** → If it reaches production code, it's a finding
- **"The production config overrides it"** → Verify prod config exists; code-level vulnerability remains if not
- **"This would never run without proper config"** → Prove it with code trace; many apps fail silently
- **"It's behind authentication"** → Defense in depth; compromised session still exploits weak defaults
- **"We'll fix it before release"** → Document now; "later" rarely comes
## Workflow
Follow this workflow for every potential finding:
### 1. SEARCH: Perform Project Discovery and Find Insecure Defaults
Determine language, framework, and project conventions. Use this information to further discover things like secret storage locations, secret usage patterns, credentialed third-party integrations, cryptography, and any other relevant configuration. Further use information to analyze insecure default configurations.
**Example**
Search for patterns in `**/config/`, `**/auth/`, `**/database/`, and env files:
- **Fallback secrets:** `getenv.*\) or ['"]`, `process\.env\.[A-Z_]+ \|\| ['"]`, `ENV\.fetch.*default:`
- **Hardcoded credentials:** `password.*=.*['"][^'"]{8,}['"]`, `api[_-]?key.*=.*['"][^'"]+['"]`
- **Weak defaults:** `DEBUG.*=.*true`, `AUTH.*=.*false`, `CORS.*=.*\*`
- **Crypto algorithms:** `MD5|SHA1|DES|RC4|ECB` in security contexts
Tailor search approach based on discovery results.
Focus on production-reachable code, not test fixtures or example files.
### 2. VERIFY: Actual Behavior
For each match, trace the code path to understand runtime behavior.
**Questions to answer:**
- When is this code executed? (Startup vs. runtime)
- What happens if a configuration variable is missing?
- Is there validation that enforces secure configuration?
### 3. CONFIRM: Production Impact
Determine if this issue reaches production:
If production config provides the variable → Lower severity (but still a code-level vulnerability)
If production config missing or uses default → CRITICAL
### 4. REPORT: with Evidence
**Example report:**
```
Finding: Hardcoded JWT Secret Fallback
Location: src/auth/jwt.ts:15
Pattern: const secret = process.env.JWT_SECRET || 'default';
Verification: App starts without JWT_SECRET; secret used in jwt.sign() at line 42
Production Impact: Dockerfile missing JWT_SECRET
Exploitation: Attacker forges JWTs using 'default', gains unauthorized access
```
## Quick Verification Checklist
**Fallback Secrets:** `SECRET = env.get(X) or Y`
→ Verify: App starts without env var? Secret used in crypto/auth?
→ Skip: Test fixtures, example files
**Default Credentials:** Hardcoded `username`/`password` pairs
→ Verify: Active in deployed config? No runtime override?
→ Skip: Disabled accounts, documentation examples
**Fail-Open Security:** `AUTH_REQUIRED = env.get(X, 'false')`
→ Verify: Default is insecure (false/disabled/permissive)?
→ Safe: App crashes or default is secure (true/enabled/restricted)
**Weak Crypto:** MD5/SHA1/DES/RC4/ECB in security contexts
→ Verify: Used for passwords, encryption, or tokens?
→ Skip: Checksums, non-security hashing
**Permissive Access:** CORS `*`, permissions `0777`, public-by-default
→ Verify: Default allows unauthorized access?
→ Skip: Explicitly configured permissiveness with justification
**Debug Features:** Stack traces, introspection, verbose errors
→ Verify: Enabled by default? Exposed in responses?
→ Skip: Logging-only, not user-facing
For detailed examples and counter-examples, see [examples.md](references/examples.md).Related Skills
---
name: article-factory-wechat
humanizer
Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases.
find-skills
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
tavily-search
Use Tavily API for real-time web search and content extraction. Use when: user needs real-time web search results, research, or current information from the web. Requires Tavily API key.
baidu-search
Search the web using Baidu AI Search Engine (BDSE). Use for live information, documentation, or research topics.
agent-autonomy-kit
Stop waiting for prompts. Keep working.
Meeting Prep
Never walk into a meeting unprepared again. Your agent researches all attendees before calendar events—pulling LinkedIn profiles, recent company news, mutual connections, and conversation starters. Generates a briefing doc with talking points, icebreakers, and context so you show up informed and confident. Triggered automatically before meetings or on-demand. Configure research depth, advance timing, and output format. Walking into meetings blind is amateur hour—missed connections, generic small talk, zero leverage. Use when setting up meeting intelligence, researching specific attendees, generating pre-meeting briefs, or automating your prep workflow.
self-improvement
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.
botlearn-healthcheck
botlearn-healthcheck — BotLearn autonomous health inspector for OpenClaw instances across 5 domains (hardware, config, security, skills, autonomy); triggers on system check, health report, diagnostics, or scheduled heartbeat inspection.
linkedin-cli
A bird-like LinkedIn CLI for searching profiles, checking messages, and summarizing your feed using session cookies.
notebooklm
Google NotebookLM 非官方 Python API 的 OpenClaw Skill。支持内容生成(播客、视频、幻灯片、测验、思维导图等)、文档管理和研究自动化。当用户需要使用 NotebookLM 生成音频概述、视频、学习材料或管理知识库时触发。
小红书长图文发布 Skill
## 概述