guard-skills
Guard skills for coding agents, quality gates that catch AI-generated failure modes in code, tests, and docs
No outside reports on file
Guard-skills reduces AI coding risks by catching common mistakes, but it's not foolproof—it should be part of a multi-layer approach, not your only safety net.
Based on public adoption and transparency signals as of Oct 22, 2026. Our opinion, not a code audit or security guarantee.
What it can access
- Local filesNo local folder access notedLOW
- Command executionNo shell command runner notedLOW
- Network reachLocal or standard API callsLOW
- CredentialsNo API token requiredLOW
- Package sourceGitHub (amElnagdy/guard-skills)PUBLIC
Inferred from this listing’s public package details and description. Check the project’s source before installing.
Install
No npm or PyPI package is listed. Install from source: github.com/amElnagdy/guard-skills ↗
Everything known
We found nothing about this project in the sources we read (last checked 2026-10-30). That does not mean it has no problems.
0 incidents · 0 advisories · 0 news articles · 0 community threads · checked 2026-10-30
Popularity grade: C (from public signals such as stars and downloads, not a code review). Graded 2026-10-22.
Sources we read: OSV, GitHub Advisory Database, CISA Known Exploited Vulnerabilities, 44 security news feeds and our incident library. Last checked 2026-10-30.
About Guard Skills
Guard-skills provides quality checks for AI coding agents to catch common problems in generated code, tests, and documentation. It acts as a safety layer that filters out broken or dangerous outputs before they're used or deployed.
Who it’s for
Developers using AI agents to write code who want extra guardrails against mistakes. Teams building automation that needs AI-generated work to meet basic quality standards.
Alternatives
- Semgrep: Static analysis tool that catches code patterns and security issues.
- CodeQL: GitHub's query engine for finding vulnerabilities in code.
- SonarQube: Continuous code quality and security scanning platform.
- Bandit: Python-specific tool for finding common security problems in generated code.
Setup
Check these steps against the project’s own instructions before running anything.
Follow the project's README for installation and integration steps with your coding agent setup.
Why this grade
Signal-based grade (3/7 points): well starred on GitHub, public source code. This reflects adoption and transparency, not a code review.
Popularity and upkeep
- GitHub stars
- 1.3k
- Listing last refreshed
- 2026-10-30
These are public popularity signals, not a maintenance check. Look at the repository’s commit history and open issues.
Risks to watch for
- AI output interception: This tool reads code and docs generated by AI agents, so it sees whatever the AI created—including accidental secrets or malicious patterns.
- False negatives: Quality gates may miss real problems while the AI thinks code is safe, creating false confidence.
- Configuration bypass: If an attacker controls the agent's prompts or training, they could craft outputs that slip past these checks.
- Dependency chain: The tool itself depends on other packages; vulnerabilities in those could affect code validation.
- Resource usage: Running extra validation on every output could slow down your agent or consume significant compute.
How to lower the risk
Least-privilege permissions
- Run the guard checks in isolated processes without access to production systems.
- Don't let the tool approve code automatically; always have humans review critical changes.
Network isolation
- Keep the validation running locally; avoid cloud-based quality gates for sensitive codebases.
- Ensure the tool can't fetch or call external services without explicit allowlist.
Monitoring
- Log all outputs the tool flags as "safe" and audit them regularly for patterns.
- Track how often checks fail or get overridden; sudden drops may signal misconfiguration.
Red flags to watch for
- Outputs approved with no feedback or very generic pass messages—may indicate a rule was disabled.
- Validation becoming much faster suddenly; could mean checks were silently skipped.
Questions
How do I install Guard Skills?
Guard Skills does not publish a standalone npm or PyPI package. Clone or follow the setup instructions in its source repository at github.com/amElnagdy/guard-skills.
Are there security reports about Guard Skills?
No reports found for this package in our research (last checked 2026-10-30). Guard Skills currently holds Grade C (Moderate risk signals) based on public adoption and transparency signals. Key risk areas to watch include ai output interception, false negatives, configuration bypass.
Is Guard Skills actively maintained?
Guard Skills has 1.3k GitHub stars. Our directory data was last refreshed on 2026-10-30. Check recent commit activity, release tags, and open issues at github.com/amElnagdy/guard-skills before pinning it in production.
What are alternatives to Guard Skills?
Notable alternatives to Guard Skills include Semgrep (Static analysis tool that catches code patterns and security issues), CodeQL (GitHub's query engine for finding vulnerabilities in code), SonarQube (Continuous code quality and security review platform), Bandit (Python-specific tool for finding common security problems in generated code). You can also compare Guard Skills side by side with other skills in the Related tools section on this page.
README badge and team notes
Maintain or use Guard Skills? Show its live grade in your GitHub README, docs site, or run a check from the terminal before you install.
GitHub README Markdown:
[](https://agentarmorhq.com/skills/amelnagdy-guard-skills)HTML embed:
<a href="https://agentarmorhq.com/skills/amelnagdy-guard-skills"><img src="https://agentarmorhq.com/api/badge/amelnagdy-guard-skills" alt="AgentArmorHQ Risk Grade for Guard Skills" height="20" /></a>Terminal check:
curl -fsSL https://agentarmorhq.com/api/cli | node --input-type=module - check "amelnagdy-guard-skills"Share with your security lead
Need sign-off to use guard-skills? Copy this note for Slack, a ticket or a pull request.
### AgentArmorHQ Security Review Memo: guard-skills
- **Listing URL:** https://agentarmorhq.com/skills/amelnagdy-guard-skills
- **Type:** AI agent skill
- **Risk Grade:** Grade C (Moderate risk signals)
- **Outside Security Advisories on File:** 0
- **Public Adoption:** 1.3k GitHub stars
#### Permission & Blast-Radius Signals
- **Local files:** No local folder access noted
- **Command execution:** No shell command runner noted
- **Network reach:** Local or standard API calls
- **Credentials:** No API token required
- **Package source:** GitHub (amElnagdy/guard-skills)
#### Recommended Hardened Setup
- **Source Repo:** https://github.com/amElnagdy/guard-skills
- **Controls:** Pin an exact version in `.mcp.json`, scope access to a single workspace folder, and use a least-privilege read-only token where supported.
_Based on public adoption and transparency signals as of Oct 22, 2026. Our opinion, not a code audit or security guarantee._Key facts
- Type
- AI agent skill
- Publisher
- amElnagdy
- Source code
- github.com/amElnagdy/guard-skills
- Est. context load
- ~54 tokens idle · ~450 tokens when active (on-demand skill)
- Popularity
- 1.3k GitHub stars
- Last updated
- 2026-10-30
- Last graded
- 2026-10-22
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