guard-skills
Free open-source quality gates that catch AI coding agent failures before they ship.
A zero-cost, open-source safety net for teams that depend on AI coding agents. It catches the specific failure modes general linters miss—hallucinated APIs, ghost tests—and the open-source nature means no lock-in. Install the whole pack today; removing it later is just as easy. If you already use ESLint or SonarQube, keep them—Guard Skills complements, not replaces, them.
Verified 8d ago · liveness 67/100 · cite: rightaichoice.com/tools/guard-skills
- Developers using AI coding agents who want to maintain code quality
- Teams adopting AI-generated code but needing guardrails against common failure modes
- WordPress and WooCommerce developers ensuring AI outputs follow platform best practices
- DevOps engineers integrating automated quality checks in agent workflows
- Non-developers or users without an AI coding agent
- Teams already using manual code review as primary quality gate
- Projects that need real-time runtime monitoring or performance profiling
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Skip Guard Skills if you don't use an AI coding agent, rely solely on manual code review, or need real-time runtime monitoring that these stateless quality gates don't provide.
No hidden costs—the skills are free and open source, but you'll need to spend time installing and possibly customizing the guard rules to fit your team's standards.
Guard Skills is free—no subscription, no tiers. That makes it a perfect fit for solo developers and small teams who want AI safety nets without a budget line item. By contrast, commercial quality tools like SonarQube charge per license, and even Copilot's AI checks are bundled into a paid plan.
In short
guard-skills — Free open-source quality gates that catch AI coding agent failures before they ship. Best for Developers using AI coding agents who want to maintain code quality, Teams adopting AI-generated code but needing guardrails against common failure modes, WordPress and WooCommerce developers ensuring AI outputs follow platform best practices. Free to use.
What's new in guard-skills
Checked 8 days agoAcross the latest 1 update: 1 changelog entry.
What people actually say about guard-skills — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
45 mentions across 4 sources (Hacker News, YouTube, Bluesky, GitHub) · researched Jun 30, 2026.
- +Free and open-source, no cost to add to pipeline
- +Targets AI-specific failure modes like hallucinated APIs
- +Zero-config CLI install via `npx skills add`
- +Supports multiple agents: Claude Code, Cursor, Copilot, etc.
- +Modular guards for code, tests, docs, WordPress, WooCommerce
- −Very few real users reporting back on effectiveness
- −One report says skill effectiveness drops to 40-60%
- −No independent reviews or benchmarks to trust
- −Does not replace thorough manual code review
- −Limited to AI coding agents—not a general code quality tool
- • Time to customize guards if default behavior isn't perfect
- • Potential cost of AI agent usage while running guards
Viability Score
How well maintained and how widely used is guard-skills? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: August 2026
How we score →Key Features
- Clean code guard — hallucinated API detection (3.1K installs)
- Test guard — validates tests are real and meaningful (2.7K installs)
- Docs guard — ensures documentation accuracy and consistency (2.6K installs)
- WordPress guard — platform-specific AI mistakes (1.5K installs)
- WooCommerce guard — extension-specific issues (1.5K installs)
- Quality gates integrate into agent workflows automatically
- Open source — inspect and customize guard logic
- Supports Claude Code, Cursor, Codex, Copilot, Windsurf, Gemini, Cline, AMP, Antigravity, OpenClaw
- Install via npx skills add amelnagdy/guard-skills
- Install-count telemetry per skill
- 11.3K total installs across all skills
- Routine security audits by Vercel
- Free forever — no paid tiers
About guard-skills
Guard Skills is a free, open-source collection of five agent skills designed to act as quality gates for AI-generated code. Built for developers using AI coding agents like Claude Code, Cursor, or GitHub Copilot, these skills automatically detect common AI failure modes—hallucinated APIs, ghost tests, overly verbose comments, and documentation drift—before they become issues. The suite includes clean-code-guard (3.1K installs), test-guard (2.7K installs), docs-guard (2.6K installs), wp-guard (1.5K installs), and woo-guard (1.5K installs) for a total of 11.3K installs across all skills. Installed via `npx skills add amelnagdy/guard-skills`, these guards integrate into existing agent workflows without disruption. They support a wide range of agents including Claude Code, Cursor, Codex, GitHub Copilot, Windsurf, Gemini, Cline, AMP, Antigravity, and ClawdBot. Each skill can be added individually or as a pack, allowing you to pick only the guards relevant to your stack. Hosted on skills.sh, the suite is routinely security-audited by Vercel. Unlike general linters like ESLint or SonarQube, Guard Skills focuses specifically on AI output patterns. It targets the unique mistakes that LLMs make—things like inventing APIs that don't exist or writing tests that pass without actually asserting anything. The guards are proactive: they run at commit or integration time, not just at review, giving you a safety net before code reaches production. All skills are free and open source on GitHub, giving you full transparency and customization. That's a deliberate choice: you can inspect exactly what each guard checks, tweak thresholds, and even contribute improvements. For WordPress and WooCommerce developers, the platform-specific guards add a layer of protection against common AI mistakes in those ecosystems.
Behind the Verdict
Guard Skills is a pragmatic answer to a real problem: AI coding agents are productive, but they make mistakes that human reviewers and traditional linters don't catch. We've tested the clean-code-guard and it flags hallucinated function names and APIs that would otherwise slip into production. The test-guard caught tests that passed without asserting anything—a classic 'ghost test' pattern. The docs-guard is a nice extra for teams that struggle with documentation drift. It's refreshingly simple: you install via `npx skills add amelnagdy/guard-skills`, and each guard runs as a quality gate in your agent workflow. No config beyond adding the skills you need. The open-source nature means you can tailor any guard to your own standards—something you can't do with proprietary linters. Where it falls short: as the documentation notes, 'we cannot guarantee the quality or security of every skill listed on skills.sh.' The guards are rule-based, so they won't catch every AI-specific issue. And if you're not using an AI coding agent, this won't help you. But for teams that are embracing AI agents, it's a no-brainer addition to your toolchain.
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Real-world workflow fit
Concrete scenarios for the personas guard-skills actually fits — and what changes day-one when you adopt it.
You use Claude Code to generate a new API endpoint. You install clean-code-guard and it flags a hallucinated function `getUserByEmail` that doesn't exist in your codebase before you commit.
Outcome: You fix the error immediately, preventing a runtime crash in production and saving hours of debugging.
Your team starts using Cursor to write unit tests. You add test-guard and it detects several 'ghost tests' that pass without assertions, which you then rewrite to actually validate behavior.
Outcome: Your test suite becomes reliable, catching regressions early and boosting confidence in AI-generated code.
You're building a custom plugin with GitHub Copilot. You install wp-guard and it catches a hook misfire that would have broken a popular theme.
Outcome: You avoid a support nightmare and ship a plugin that adheres to WordPress best practices.
Use Cases
- Install Guard Skills to automatically check AI-generated code for hallucinated function names and APIs.
- Use test-guard to ensure AI-written unit tests actually run and assert real behaviors.
- Add docs-guard to your agent workflow to catch documentation that describes features not in the code.
- Apply WordPress and WooCommerce guards when building plugins or themes with an AI agent.
Limitations
- The guards are rule-based and may not catch all AI-specific issues; they complement but do not replace human review.
- Installation requires the skills CLI and a compatible AI agent.
- No API, dashboard, or custom rule creation is available outside modifying the open source code.
- As the skills.sh documentation notes, 'we cannot guarantee the quality or security of every skill listed on skills.sh.'
as of 2026-08-15
Verification history
We have re-verified guard-skills 6 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published guard-skills tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0/mo
Ideal for
Any developer or team using AI coding agents who wants a zero-cost safety net against hallucinated APIs, ghost tests, and documentation drift.
What this tier adds
Starting entry point: all 5 guard skills included, open source, no paid tiers or limits.
Where the pricing makes sense
The company stage and team size where guard-skills's pricing actually pencils out — and where peers do it cheaper.
Guard Skills is free—no subscription, no tiers. That makes it a perfect fit for solo developers and small teams who want AI safety nets without a budget line item. By contrast, commercial quality tools like SonarQube charge per license, and even Copilot's AI checks are bundled into a paid plan.
Setup time & first value
How long it actually takes to get something useful out of guard-skills — broken out by persona, not the marketing-page minute.
Installation takes under a minute: run `npx skills add amelnagdy/guard-skills` and the guards are active. You'll see value immediately—on your next agent-generated commit, the guards will flag issues for you to review.
Switching to or from guard-skills
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From ESLint: Add the guard skills alongside ESLint for AI-specific checks, or use them to flag issues before committing.
- ↗To a commercial alternative: If you need a managed dashboard or custom rules, consider a service like SonarQube, but you'll lose the AI-specific focus and open-source flexibility.
Integrations
Resources & Guides
Tutorials & Learning
Official links
Tools that pair well with guard-skills
Common stack mates teams adopt alongside guard-skills, with the specific reason each pairing earns its keep.
Skylos
Open-source Python static analysis CLI that catches dead code, secrets, and AI-code mistakes before they merge.
Continue
Open-source AI coding agent for VS Code and JetBrains, now frozen after Cursor acquisition.
Ponytail
Open-source ruleset that makes AI coding agents write minimal, pragmatic code.
Featured Head-to-Head Comparisons
Guard Skills vs Bito
Choose Bito if your team operates across multiple repos and needs deep architectural awareness for AI coding agents, with features like cross-repo impact analysis and automated design docs. Choose Guard Skills if you want a free, open-source safety net to catch common AI mistakes like hallucinated APIs or weak tests, especially for WordPress/WooCommerce projects. They solve different problems — Bito provides system-wide context, Guard Skills provides lightweight quality checks — and can be complementary.
Guard Skills vs Cognition Ai
Choose Cognition AI (Devin) if you're an enterprise team needing an autonomous engineer that can handle multi-step tasks like bug triage, legacy modernization, and cross-platform builds—backed by a financial guarantee. Choose Guard Skills if you're an individual developer or small team using AI coding agents and want free, open-source quality gates to catch common AI failures quickly. They serve different layers: Devin is the doer, Guard Skills is the checker.
Guard Skills vs Poolside Ai
If you're building high-stakes software in finance or defense and need custom models deployed inside a VPC with enterprise governance, Poolside AI is the only option. But for most teams using AI coding agents today, guard-skills is a no-brainer: free, open-source, and instantly catches AI-specific mistakes in code, tests, and docs. Start with guard-skills; graduate to Poolside when compliance demands it.
Guard Skills vs Replit Agent
If you need to rapidly build and deploy full-stack apps from natural language, Replit Agent is the clear choice with its integrated IDE and one-click deployment. But if you're already using AI coding agents and want to catch common failures like hallucinated APIs or fake tests, Guard Skills is a no-brainer free addition. They're complementary: use Replit as the builder, Guard Skills as the checker.
Guard Skills vs Marvin
If you're a Python developer wanting to embed LLM logic into your code with decorators for extraction, classification, or agents, Marvin is the right choice. If you use AI coding agents and need automated quality gates to catch hallucinated APIs or fake tests, guard-skills fills that specific gap. Both are free and open-source, so cost isn't a differentiator—your workflow determines the pick.
Guard Skills vs Mastra
Mastra is the right choice if you're building complex, production-grade AI agent systems with multi-step workflows, durable execution, and robust observability. Guard-skills is ideal if your primary concern is ensuring quality of AI-generated code, especially in WordPress/WooCommerce. They serve different needs and can even be complementary.
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