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Security Review

Organization
IAPro-Community
security-review

Run a comprehensive security review on code

Overview

PublisherIAPro-Community
RepositoryOrquestrador-Maestro
Skill namesecurity-review
Stars
63
Forks
11
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by IAPro-Community on GitHub. Read the source before you install it.

Installation

Install the Security Review AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/IAPro-Community/Orquestrador-Maestro/tree/v1/codex/skills/security-review
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/IAPro-Community/Orquestrador-Maestro.git /tmp/Orquestrador-Maestro
mkdir -p .claude/skills
cp -r /tmp/Orquestrador-Maestro/codex/skills/security-review .claude/skills/security-review
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Security Review in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Security Review on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Security Review is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Security Review Skill

Conduct a thorough security audit checking for OWASP Top 10 vulnerabilities, hardcoded secrets, and unsafe patterns.

When to Use

This skill activates when:

  • User requests "security review", "security audit"
  • After writing code that handles user input
  • After adding new API endpoints
  • After modifying authentication/authorization logic
  • Before deploying to production
  • After adding external dependencies

What It Does

GPT-5.4 Guidance Alignment

  • Default to concise, evidence-dense progress and completion reporting unless the user or risk level requires more detail.
  • Treat newer user task updates as local overrides for the active workflow branch while preserving earlier non-conflicting constraints.
  • If correctness depends on additional inspection, retrieval, execution, or verification, keep using the relevant tools until the security review is grounded.
  • Continue through clear, low-risk, reversible next steps automatically; ask only when the next step is materially branching, destructive, or preference-dependent.

Delegates to the security-reviewer agent (THOROUGH tier) for deep security analysis:

  1. OWASP Top 10 Scan

    • A01: Broken Access Control
    • A02: Cryptographic Failures
    • A03: Injection (SQL, NoSQL, Command, XSS)
    • A04: Insecure Design
    • A05: Security Misconfiguration
    • A06: Vulnerable and Outdated Components
    • A07: Identification and Authentication Failures
    • A08: Software and Data Integrity Failures
    • A09: Security Logging and Monitoring Failures
    • A10: Server-Side Request Forgery (SSRF)
  2. Secrets Detection

    • Hardcoded API keys
    • Passwords in source code
    • Private keys in repo
    • Tokens and credentials
    • Connection strings with secrets
  3. Input Validation

    • All user inputs sanitized
    • SQL/NoSQL injection prevention
    • Command injection prevention
    • XSS prevention (output escaping)
    • Path traversal prevention
  4. Authentication/Authorization

    • Proper password hashing (bcrypt, argon2)
    • Session management security
    • Access control enforcement
    • JWT implementation security
  5. Dependency Security

    • Run npm audit for known vulnerabilities
    • Check for outdated dependencies
    • Identify high-severity CVEs

Agent Delegation

delegate(
  role="security-reviewer",
  tier="THOROUGH",
  prompt="SECURITY REVIEW TASK

Conduct comprehensive security audit of codebase.

Scope: [specific files or entire codebase]

Security Checklist:
1. OWASP Top 10 scan
2. Hardcoded secrets detection
3. Input validation review
4. Authentication/authorization review
5. Dependency vulnerability scan (npm audit)

Output: Security review report with:
- Summary of findings by severity (CRITICAL, HIGH, MEDIUM, LOW)
- Specific file:line locations
- CVE references where applicable
- Remediation guidance for each issue
- Overall security posture assessment"
)

External Model Consultation (Preferred)

The security-reviewer agent SHOULD consult Codex for cross-validation.

Protocol

  1. Form your OWN security analysis FIRST - Complete the review independently
  2. Consult for validation - Cross-check findings with Codex
  3. Critically evaluate - Never blindly adopt external findings
  4. Graceful fallback - Never block if tools unavailable

When to Consult

  • Authentication/authorization code
  • Cryptographic implementations
  • Input validation for untrusted data
  • High-risk vulnerability patterns
  • Production deployment code

When to Skip

  • Low-risk utility code
  • Well-audited patterns
  • Time-critical security assessments
  • Code with existing security tests

Tool Usage

Before first MCP tool use, call ToolSearch("mcp") to discover deferred MCP tools. Use mcp__x__ask_codex with agent_role: "security-reviewer". If ToolSearch finds no MCP tools, fall back to the security-reviewer agent.

Note: Security second opinions are high-value. Consider consulting for CRITICAL/HIGH findings.

Output Format

SECURITY REVIEW REPORT
======================

Scope: Entire codebase (42 files scanned)
Scan Date: 2026-01-24T14:30:00Z

CRITICAL (2)
------------
1. src/api/auth.ts:89 - Hardcoded API Key
   Finding: AWS API key hardcoded in source code
   Impact: Credential exposure if code is public or leaked
   Remediation: Move to environment variables, rotate key immediately
   Reference: OWASP A02:2021 – Cryptographic Failures

2. src/db/query.ts:45 - SQL Injection Vulnerability
   Finding: User input concatenated directly into SQL query
   Impact: Attacker can execute arbitrary SQL commands
   Remediation: Use parameterized queries or ORM
   Reference: OWASP A03:2021 – Injection

HIGH (5)
--------
3. src/auth/password.ts:22 - Weak Password Hashing
   Finding: Passwords hashed with MD5 (cryptographically broken)
   Impact: Passwords can be reversed via rainbow tables
   Remediation: Use bcrypt or argon2 with appropriate work factor
   Reference: OWASP A02:2021 – Cryptographic Failures

4. src/components/UserInput.tsx:67 - XSS Vulnerability
   Finding: User input rendered with dangerouslySetInnerHTML
   Impact: Cross-site scripting attack vector
   Remediation: Sanitize HTML or use safe rendering
   Reference: OWASP A03:2021 – Injection (XSS)

5. src/api/upload.ts:34 - Path Traversal Vulnerability
   Finding: User-controlled filename used without validation
   Impact: Attacker can read/write arbitrary files
   Remediation: Validate and sanitize filenames, use allowlist
   Reference: OWASP A01:2021 – Broken Access Control

...

MEDIUM (8)
----------
...

LOW (12)
--------
...

DEPENDENCY VULNERABILITIES
--------------------------
Found 3 vulnerabilities via npm audit:

CRITICAL: axios@0.21.0 - Server-Side Request Forgery (CVE-2021-3749)
  Installed: axios@0.21.0
  Fix: npm install axios@0.21.2

HIGH: lodash@4.17.19 - Prototype Pollution (CVE-2020-8203)
  Installed: lodash@4.17.19
  Fix: npm install lodash@4.17.21

...

OVERALL ASSESSMENT
------------------
Security Posture: POOR (2 CRITICAL, 5 HIGH issues)

Immediate Actions Required:
1. Rotate exposed AWS API key
2. Fix SQL injection in db/query.ts
3. Upgrade password hashing to bcrypt
4. Update vulnerable dependencies

Recommendation: DO NOT DEPLOY until CRITICAL and HIGH issues resolved.

Security Checklist

The security-reviewer agent verifies:

Authentication & Authorization

  • Passwords hashed with strong algorithm (bcrypt/argon2)
  • Session tokens cryptographically random
  • JWT tokens properly signed and validated
  • Access control enforced on all protected resources
  • No authentication bypass vulnerabilities

Input Validation

  • All user inputs validated and sanitized
  • SQL queries use parameterization (no string concatenation)
  • NoSQL queries prevent injection
  • File uploads validated (type, size, content)
  • URLs validated to prevent SSRF

Output Encoding

  • HTML output escaped to prevent XSS
  • JSON responses properly encoded
  • No user data in error messages
  • Content-Security-Policy headers set

Secrets Management

  • No hardcoded API keys
  • No passwords in source code
  • No private keys in repo
  • Environment variables used for secrets
  • Secrets not logged or exposed in errors

Cryptography

  • Strong algorithms used (AES-256, RSA-2048+)
  • Proper key management
  • Random number generation cryptographically secure
  • TLS/HTTPS enforced for sensitive data

Dependencies

  • No known vulnerabilities in dependencies
  • Dependencies up to date
  • No CRITICAL or HIGH CVEs
  • Dependency sources verified

Severity Definitions

CRITICAL - Exploitable vulnerability with severe impact (data breach, RCE, credential theft) HIGH - Vulnerability requiring specific conditions but serious impact MEDIUM - Security weakness with limited impact or difficult exploitation LOW - Best practice violation or minor security concern

Remediation Priority

  1. Rotate exposed secrets - Immediate (within 1 hour)
  2. Fix CRITICAL - Urgent (within 24 hours)
  3. Fix HIGH - Important (within 1 week)
  4. Fix MEDIUM - Planned (within 1 month)
  5. Fix LOW - Backlog (when convenient)

Scenario Examples

Good: The user says continue after the workflow already has a clear next step. Continue the current branch of work instead of restarting or re-asking the same question.

Good: The user changes only the output shape or downstream delivery step (for example make a PR). Preserve earlier non-conflicting workflow constraints and apply the update locally.

Bad: The user says continue, and the workflow restarts discovery or stops before the missing verification/evidence is gathered.

Use with Other Skills

With Team:

/team "run security review on authentication module"

Uses: explore → security-reviewer → executor → security-reviewer (re-verify)

With Swarm:

/swarm 4:security-reviewer "audit all API endpoints"

Parallel security review across multiple endpoints.

With Ralph:

/ralph security-review then fix all issues

Review, fix, re-review until all issues resolved.

Best Practices

  • Review early - Security by design, not afterthought
  • Review often - Every major feature or API change
  • Automate - Run security scans in CI/CD pipeline
  • Fix immediately - Don't accumulate security debt
  • Educate - Learn from findings to prevent future issues
  • Verify fixes - Re-run security review after remediation

Frequently asked questions

What does the Security Review AI skill do?

Run a comprehensive security review on code

Why use Security Review on TypingMind?

Because you install it once and use it with any model. Security Review is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Security Review in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/IAPro-Community/Orquestrador-Maestro/tree/v1/codex/skills/security-review. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Security Review?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Security Review?

As many as you like. As long as a model supports skills, you can use Security Review with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Security Review AI skill free?

Yes. It is published on GitHub by IAPro-Community under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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