Works with the AI Agents you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseDotsDots+21 more

    Bounty Security Pattern Auditor Pro 399-Pattern Security

    1

    Premium security auditor with a 399-pattern library for code, API, and smart contract vulnerability detection.

    $69.99

    Secure checkout via Stripe

    Money-back guarantee

    Converts to your local currency at checkout

    Security scanned
    Bounty Security Pattern Auditor Pro 399-Pattern Security

    Bounty Security Pattern Auditor Pro 399-Pattern Security

    Example session with this skill installed

    Audit this Node.js API endpoint for auth flaws and injection: app.get('/user/:id', (req, res) => { const query = "SELECT * FROM users WHERE id = " + req.params.id; db.execute(query)...

    • Read your context and instructions
    • Compiled the bounty security pattern

    I have completed the security audit of the provided Node.js API endpoint. Using the BSA pattern library, I identified a critical SQL injection vulnerability due to improper input sanitization.

    Security Audit Report

    Executive Summary

    • Scope: Node.js Express API / Database Query Layer
    • Relevant Patterns: Input Validation, SQL Injection, Data Access
    • Findings: 1 Critical
    • Remediation Priority: Immediate

    Findings Matrix

    IDPatternCWESeverityConfidenceComponentStatus
    BSA-102SQL InjectionCWE-89CriticalHigh/user/:idConfirmed

    Detailed Finding

    Finding: Unsanitized URL parameter in SQL query
    Pattern ID: BSA-102
    CWE: CWE-89: Improper Neutralization of Special Elements used in an SQL Command
    Severity: Critical
    Confidence: High
    Category: Injection
    Location: app.get('/user/:id', ...) line 2
    Evidence: The code directly concatenates req.params.id into the SQL string without parameterized queries or escaping.
    False-Positive Checks: Checked for ORM/Query builder abstraction; none found. Input is sourced directly from a public route parameter.
    Impact: Remote attackers can execute arbitrary SQL commands, leading to full database compromise or unauthorized data exfiltration.
    Attack Preconditions: Access to the public /user/ endpoint.
    Safe Validation: Attempt to pass a non-numeric string like '1 OR 1=1' in a local test environment and observe query construction in logs.
    Remediation: Implement parameterized queries using the db.execute('SELECT * FROM users WHERE id = ?', [req.params.id]) syntax.
    Regression Test: Add a unit test that passes a malicious string to the handler and asserts that the database driver receives a parameterized call rather than a concatenated string.

    Next steps

    • Update the database call to use prepared statements immediately.
    • Implement a global input validation middleware (e.g., Joi or express-validator) to enforce UUID or integer types for ID parameters.
    • Review all other db.execute calls in the repository for similar concatenation patterns.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    The problem

    Manual security reviews are slow and prone to oversight. Developers often miss subtle vulnerability patterns in complex codebases, leading to high-severity risks reaching production.

    What it does

    • Analyzes application code, APIs, and smart contracts against a library of 399 structured security patterns.
    • Maps every identified vulnerability to specific CWE identifiers and severity levels.
    • Filters noise by performing structured false-positive checks based on framework defaults and middleware controls.
    • Generates prioritized executive reports with concrete evidence, impact assessments, and remediation steps.

    Why this beats prompting it yourself

    General-purpose LLMs lack the rigor of a structured 399-pattern security library. This skill enforces a disciplined auditing workflow that requires evidence-driven findings, preventing the speculative noise and hallucinations common in DIY prompts.

    Use cases

    • Auditing DeFi smart contracts for reentrancy, oracle manipulation, and accounting invariants.
    • Performing pre-PR security sweeps on web APIs and cloud infrastructure configurations.
    • Validating supply chain security and dependency behavior in multi-tenant systems.
    • Generating professional security reports for stakeholders during a development sprint.

    Known limitations

    Authorized defensive testing only. It does not support live-system exploitation, malware generation, or destructive actions.

    Authorized defensive testing only. Does not provide instructions for credential theft, live-system compromise, or destructive actions. Requires library loading for full coverage.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before any payment.

    Reviews

    No reviews yet

    Be one of the first to try it. Every listed skill goes through the trust checks below.

    Security scanned

    Checked by our 8-point scan before listing

    Fresh listing

    Recently published to Agensi

    Money-back guarantee

    Doesn't do what its page promises? You get your money back.

    Trust & safety

    Security scan

    Security scan passed 1 month ago

    Permissions

    No special permissions declared or detected

    Listed1 month ago
    Updated15 days ago

    What's inside

    Frequently Asked Questions

    The Pro 399-Pattern Security skill is compatible with top-tier large language models (LLMs) that support file attachments and long-context windows, such as Claude 3.5 Sonnet, GPT-4o, and Gemini 1.5 Pro.

    While it is framework-agnostic, the skill is optimized for modern web frameworks (React, Node.js, Django), cloud infrastructure (Terraform, AWS), and smart contract languages like Solidity and Rust.

    Simply import the skill into your preferred AI agent interface; no external API keys or complex environment configurations are required to begin running audits.

    Unlike general prompts that guess at risks, this skill uses a structured library to cross-reference code against 399 specific vulnerability signatures, ensuring every finding is mapped to a real-world CWE.

    You receive the full 399-pattern security logic, a structured reporting template for executive summaries, and a remediation guide designed to provide developers with actionable fix instructions.

    Buyers receive lifetime access to the 399-pattern library; however, please check the 'Version' tab for any supplemental updates or expanded pattern packs released by the creator.

    New in Security