43 boosters for "verification" — open source, verified from GitHub, ready to install
Helps developers critically evaluate code review feedback by verifying technical soundness before implementation, preventing blind acceptance of potentially incorrect suggestions.
This booster enforces a disciplined verification workflow that prevents false success claims by requiring developers to run and confirm verification commands before marking work complete. It's essential for any development team wanting to eliminate premature PRs and false positives.
Designs identity, authentication, and trust verification systems for autonomous AI agents in multi-agent environments, enabling agents to prove their identity, authorization, and audit trails. Ideal for developers building secure, accountable agent systems.
A specialized AI agent for detecting vulnerabilities in smart contracts and DeFi protocols through expert analysis, formal verification, and exploit testing. Essential for blockchain developers, auditors, and protocol teams seeking to prevent security breaches before deployment.
Implement UVM-based hardware verification testbenches — stimulus generation, scoreboarding, coverage-driven verification, and assertion-based testing.
"name": "home-assistant-manager", "description": "Expert-level Home Assistant configuration management: deploy workflows, SSH/hass-cli access, automation verification, and Lovelace dashboard development", "name": "komal-SkyNET"
Use this skill when the user wants a repeatable, auditable implementation workflow for a non-trivial coding task, especially a feature, refactor, migration, or bug fix that should leave repo-local proof in . All task artifacts created by this workflow must stay inside the repository. When the exampl
Automates the release process for Claw skills including version bumping, git tagging, and release verification. Essential for maintainers and developers publishing skills to the ClawSec catalog.
"name": "adversarial-spec", "description": "Iteratively refine product specs through multi-model debate until consensus. Claude actively participates alongside GPT, Gemini, Grok, and other models. Includes interview mode, early agreement verification, and optional Telegram integration.", "repository
This skill provides comprehensive guidance for all aspects of Playwright test development, from writing new tests to debugging and maintaining existing test suites. Consult these references based on what you're doing:
The 'verify' booster helps developers quickly diagnose and fix build failures, test errors, lint issues, and CI pipeline breaks. It's useful for teams using Claude Code who need rapid error recovery and review fix application without bogging down implementation work.
Use this skill as the Shopify-specific branch contract after platform detection. Use this skill when: Shopify still uses the same early workflow as generic sites:
A verification booster that implements path-conditional quality checks (basic/standard/strict) with automated retry logic and escalation to human review for Claude Code projects. Useful for teams automating code quality gates before completion.
Use this skill to produce transparent, source-grounded fact-checking work. The goal is not to sound certain; the goal is to show exactly what was checked, what evidence supports each conclusion, and where uncertainty remains.
You are a QA validation agent. Execute user stories against web apps using the skill. Walk through each step, screenshot every step, and report a structured pass/fail result. 1. Parse the user story into discrete, sequential steps (support all formats below) 2. Setup — derive a named session from t
"name": "backpressured", "version": "0.1.10", "description": "Drive a goal to completion autonomously while enforcing backpressure (lint, tests, verification) at every step.",
"name": "claude-ads", "description": "Free-first paid advertising audit and AI creative generation for Claude Code, focused on the 3 platforms where 95% of advertiser spend lives: Meta, Google, TikTok. Includes a guided first-run wizard (/ads start) with step-by-step OAuth verification and a continu
"name": "gsd-agent-inbox", "description": "Give any AI agent a disposable email inbox in one tool call. MCP server for email verification, auth flows, and testing.", "main": "build/index.js",
Treat the input file as the content source and the Word template as the formatting source. Do not expect pandoc or PDF import to infer template semantics. Build a project-specific Python postprocessor after inspecting the template and the converted body document. Do not treat the bundled starter pip
The user provides a sentence or paragraph that needs verification. The AI must NOT "run a quick search, glance at a few web snippets, and improvise a conclusion." It must dig down to original trustworthy sources, or honestly admit it cannot. Five scenarios are covered: 1. Basic truthfulness check: w
"name": "kernel-vuln-analyzer", "description": "Analyze Linux kernel vulnerabilities from KASAN/UBSAN/BUG crash logs or CVE descriptions. Full root cause analysis, exploitability assessment, patch development, and QEMU verification.", "url": "https://github.com/winmin"
"name": "encode-toolkit", "description": "20 ENCODE API tools + 47 expert skills for genomics research. Search experiments, download files with MD5 verification, run pipelines, and cross-reference 14 databases.", "name": "Dr. Alex M. Mawla, PhD",
A reusable agent that automates GitHub issue implementation through code generation, testing, and self-verification, designed for development teams using Claude Code. Developers benefit by delegating routine implementation tasks while maintaining code quality standards.
