Projects sharing features with SkillSpector

SecurityAdvisories is a software composition analysis tool and PHP security advisory database used to audit project dependencies against known security flaws and CVEs. It functions as a vulnerability scanner for PHP projects to identify and manage risky third-party libraries. The project implements a system for detecting and blocking vulnerable dependencies during the software development lifecycle. It prevents the installation of software packages with known security flaws by maintaining an exclusion list of forbidden versions. The tool integrates with the PHP package manager to intercept d

Checkov is a static analysis tool and security scanner designed to identify misconfigurations in infrastructure as code, container images, and Kubernetes configurations. It functions as a cloud security posture tool, an SCA vulnerability scanner, and a secret scanning utility to prevent security breaches and version control leaks. The project distinguishes itself through deep graph analysis and variable resolution, allowing it to map relationships between interconnected resources and evaluate the final state of infrastructure attributes. It provides extensibility for defining custom security

This project provides a comprehensive guide for securing the software supply chain within Node.js and npm environments. It focuses on hardening the entire lifecycle of third-party dependencies and package publishing processes to protect applications from malicious code injection and unauthorized registry modifications. The guide distinguishes itself by emphasizing identity-based authentication and cryptographic provenance to verify the origin of distributed artifacts. It advocates for strict governance policies, such as enforcing minimum release ages for dependencies and disabling automatic l

This project is a comprehensive, curated directory of static analysis, linting, and security scanning utilities. It serves as a central resource for developers to discover, compare, and select tools based on specific programming languages, licensing models, and integration requirements. The directory distinguishes itself by providing deep metadata for each listed utility, including community-driven popularity rankings, maintenance status, and deployment methods. By aggregating these tools into a single searchable index, it enables teams to identify solutions for enforcing coding standards, ma

Superagent is an AI safety platform that protects applications from prompt injections, data leaks, and harmful outputs through built-in guardrails. It functions as a prompt injection detection system, data redaction tool, and red team testing tool, automatically removing personally identifiable information and protected health data from AI inputs and outputs while scanning image uploads with vision AI to detect visual prompt injection attacks before processing. The platform routes every prompt through a sequential pipeline of safety checks including injection detection, data redaction, and co

This project is a web application security standard and vulnerability framework. It provides a comprehensive list of the most critical security risks facing web applications, paired with technical guidance and a structured methodology for identifying and mitigating these flaws. The framework functions as a secure coding guide and a risk assessment methodology, offering a standardized approach to prioritizing vulnerabilities based on their potential impact and likelihood of exploitation. It defines architectural patterns and technical recommendations to help developers implement defense in dep

OSV is a distributed database and aggregator of open-source security advisories that uses a standardized vulnerability schema to track security flaws. It functions as a system for collecting and normalizing security data from diverse ecosystems into a single unified format, providing a web API for querying package vulnerabilities and submitting standardized records. The project distinguishes itself through a security advisory distribution service that supports bulk dataset exports via cloud storage buckets and incremental synchronization of security record updates. It also employs sandbox-bas

Shannon is an integrated security platform designed for autonomous penetration testing, static and dynamic analysis, and automated vulnerability remediation within self-hosted, private infrastructure. It functions as a unified security suite that orchestrates the entire lifecycle of vulnerability management, from initial discovery and reachability prioritization to the generation and verification of code-level patches. The platform distinguishes itself through its agentic approach to security, deploying autonomous agents to execute both black-box and white-box exploits against running applica

This project is a language extension for VS Code that provides comprehensive Go language support. It functions as a language server client, a debugger interface, and a toolchain manager to facilitate Go application development. The extension distinguishes itself by integrating a full suite of toolchain management capabilities, allowing for the installation and configuration of required binaries, linters, and compiler versions directly within the editor. It also provides deep integration for interactive debugging via Delve, supporting remote target debugging, process attachment, and program st

osv-scanner is a software composition analysis tool and vulnerability scanner that checks project dependencies and container images against the Open Source Vulnerabilities database. It functions as a dependency remediation tool and can be integrated into custom Go applications as a programmable security library. The project distinguishes itself through a remediation workflow that includes an interactive terminal user interface and automated scripting for upgrading vulnerable packages in lockfiles and manifests. It employs call-graph reachability analysis to determine if vulnerable code is act

This project is a framework for the autonomous discovery and remediation of security vulnerabilities using large language model agents. It functions as a security research pipeline that automates the process of reconnaissance, crash discovery, and exploitability analysis to identify reproducible software bugs. The system distinguishes itself by utilizing a containerized agent sandbox that restricts network egress and filesystem access to prevent host compromise. It employs a specialized patch generation and validation loop, which includes adversarial re-attack testing where a fresh agent atte

Flan is a containerized network vulnerability scanner and security auditor. It identifies open ports and service versions across a network to detect known security weaknesses and misconfigurations. The system is designed to run within isolated container environments, utilizing configuration maps to manage target lists and secrets. It includes a dedicated mechanism for archiving scan output files and security analysis data to remote S3 buckets for long-term storage. The tool generates formatted vulnerability summaries and security reports in multiple document formats for technical analysis. I

This project is an AI-powered static analysis tool and automated vulnerability scanner designed to detect security flaws such as injection and authentication bypasses. It uses large language models to perform semantic reasoning across multiple programming languages, identifying vulnerabilities within code changes. The tool operates as a GitHub Action that integrates into continuous integration pipelines to analyze pull request diffs. It focuses on modified lines of code to target new risks and reports findings by posting automated comments directly to the pull request. Analysis is directed b

Checkstyle is a Java static analysis tool and linter designed to identify and enforce coding standards and best practices. It functions as a code quality auditor and Javadoc validation tool, checking source code against configurable rulesets to ensure structural and stylistic consistency. The project allows for the creation of custom linting rules by extending a core API to inspect the abstract syntax tree. It further enables specialized validation through the use of XPath expressions to query the syntax tree for specific code patterns and violations. Capability areas include the enforcement

This project is a static analysis linter, code quality tool, and language auditor for Rust. It functions as an automated refactoring system designed to identify common mistakes and suggest idiomatic improvements for Rust source code. The tool identifies non-idiomatic patterns, performance bottlenecks, and code smells to improve the overall correctness and quality of the code. It specifically audits memory safety by flagging suspicious use of unsafe blocks and pointer manipulations and detects inefficient operations to optimize execution speed. The analysis surface covers coding style enforce

PMD is a multi-language static code analyzer used to identify programming flaws, unused variables, and dead code without executing the program. It functions as a code smell detector and coding standard enforcer, ensuring source code adheres to specific naming conventions, structural requirements, and project style guides. The project features an XPath-based rule engine that allows users to define custom analysis patterns using queries against an abstract syntax tree. It also includes a copy-paste detector to identify duplicated code blocks across multiple files and a visual rule designer for

ChatGPT-CodeReview is an AI-driven code analysis tool and bot that uses a large language model to automatically review pull request diffs and post feedback on code changes. It functions as a system for detecting bugs and suggesting improvements in source code. The tool provides a containerized runtime for deployment as a background process or through a GitHub Action. Users can customize the analysis behavior, style, and technical depth by adjusting model parameters and system prompts. The system handles automated code review workflows by triggering analysis via webhooks and CI pipelines, upd

PHP-Parser is a tool that converts PHP source code into an abstract syntax tree for static analysis and programmatic manipulation. It functions as a parser, a code generator, and a static analysis framework. The project enables the programmatic construction of abstract syntax tree nodes through a fluent interface and provides the ability to transform these trees back into formatted source code. It includes a serializer that exports abstract syntax trees to JSON format and reconstructs them from strings. The toolset covers several capability areas, including namespace resolution, constant exp

Pylint is a static code analysis tool for Python that checks source code for errors, coding standard violations, and code smells without executing the program. It parses code into an abstract syntax tree and walks the tree to detect issues, enforces configurable style rules and naming conventions, and identifies duplicate code blocks by comparing tokenised source sequences. The tool also includes an inference engine that deduces variable types by simulating code paths, enabling deeper analysis even in untyped code. What distinguishes Pylint is its plugin-based checker architecture, which allo

Superagent is a framework for AI assistant orchestration and agent security. It provides the tools to build intelligent assistants that integrate external APIs and maintain conversation memory to automate complex tasks. The project focuses on AI agent security through adversarial testing, red teaming, and the detection of prompt injections and malicious tool calls. It includes automated vulnerability patching, which scans codebases and configurations for security flaws and generates pull requests with fixes. The platform supports retrieval augmented generation by connecting language models t

JSHint is a JavaScript static analysis tool and linter designed to detect errors and enforce coding standards. It functions as a syntax validator that scans source code to identify potential logic problems and programming mistakes before the code is executed. The tool provides a command line interface for analyzing files and directories. It supports the export of analysis results into standardized formats such as Checkstyle for integration with external build tools. Analysis is managed through a system of linting rule management and environment global configuration. This includes the ability

Dependency-Track is a software composition analysis tool and vulnerability management system designed to track dependencies and supply chain risk. It functions as a platform for ingesting and analyzing CycloneDX software bills of materials to identify known vulnerabilities and license compliance issues within third-party software components. The system distinguishes itself by mirroring external vulnerability databases locally to enable fast offline analysis and using VEX documents to differentiate between technical vulnerabilities and actual contextual risks. It also integrates with identity

p3c is a Java static analysis tool and code quality linter designed to enforce professional coding guidelines and quality standards. It utilizes a set of custom rules based on the PMD engine to scan source code for style violations, performance bottlenecks, and potential bugs. The project is distributed as an IDE linting plugin that provides real-time feedback and warnings during development. It also includes functionality for pre-commit code quality gates, allowing modified files to be scanned and blocked if they violate defined rules before being committed to version control. The analysis

Mago is a PHP static analysis tool, linter, and code formatter. It detects type errors, dead code, and logic bugs through advanced type inference and flow analysis, while providing a deterministic engine to rewrite source files according to style guides. The project distinguishes itself with a WebAssembly runtime that enables PHP analysis to execute entirely within a web browser, allowing results to be shared via URL. It also provides a minimal Dockerized toolchain distributed as a scratch image for consistent execution across different processor architectures. The toolset covers architectur

Error Prone is a static code analyzer and Java compiler extension that identifies common programming mistakes during the build process. It functions as a compiler wrapper that flags potential errors as compile-time failures to prevent bugs from reaching execution. The tool integrates directly into the Java compilation workflow to provide compile-time validation. It allows for the definition of custom linting rules and analysis checks to enforce specific coding standards and detect prohibited API usage. The system utilizes abstract syntax tree analysis and type-aware pattern matching to inspe

Detekt is a static analysis tool, code quality linter, and complexity analyzer for Kotlin source code. It functions as a code smell detector and static scanner designed to identify potential bugs, design flaws, and violations of coding standards without executing the program. The tool differentiates itself through the use of issue baselining, which allows users to create a snapshot of existing legacy code issues to filter out old violations and focus on preventing new regressions. It further supports extensibility via a plugin-based system that allows for the integration of custom rule sets a

Infer is a static analysis toolset for Java, C, C++, and Objective-C designed to detect memory leaks, null dereferences, and resource bugs. It functions as a multi-language bug finder that identifies race conditions, deadlocks, and memory safety issues by translating source code into a common intermediate representation for analysis. The project distinguishes itself through an inter-procedural data flow analyzer that tracks movement between sources and sinks to detect tainted flows and generate data flow graphs. It also includes a framework for verifying temporal properties and reachability u