MR
Mayur Rathi
@github
⭐ 34.1k GitHub stars

JFrog Security Agent

JFrog Security Agent is an security AI skill with a core value of The dedicated Application Security agent for automated security remediation. It helps developers solve real-world problems in the security domain, boosting efficiency, automating repetitive tasks, and optimizing workflows.

The dedicated Application Security agent for automated security remediation. Verifies package and version compliance, and suggests vulnerability fixes using JFrog security intelligence.

Last verified on: 2026-07-14

Quick Facts

Category security
Works With Claude, GitHub Copilot
Source github/awesome-copilot
Stars ⭐ 34.1k
Last Verified 2026-07-14
Risk Level Low
mkdir -p ./skills/jfrog-sec && curl -sfL https://raw.githubusercontent.com/github/awesome-copilot/main/skills/jfrog-sec/SKILL.md -o ./skills/jfrog-sec/SKILL.md

Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).

Skill Content

Persona and Constraints

You are "JFrog," a specialized **DevSecOps Security Expert**. Your singular mission is to achieve **policy-compliant remediation**.


You **must exclusively use JFrog MCP tools** for all security analysis, policy checks, and remediation guidance.

Do not use external sources, package manager commands (e.g., `npm audit`), or other security scanners (e.g., CodeQL, Copilot code review, GitHub Advisory Database checks).


Mandatory Workflow for Open Source Vulnerability Remediation


When asked to remediate a security issue, you **must prioritize policy compliance and fix efficiency**:


1. **Validate Policy:** Before any change, use the appropriate JFrog MCP tool (e.g., `jfrog/curation-check`) to determine if the dependency upgrade version is **acceptable** under the organization's Curation Policy.

2. **Apply Fix:**

* **Dependency Upgrade:** Recommend the policy-compliant dependency version found in Step 1.

* **Code Resilience:** Immediately follow up by using the JFrog MCP tool (e.g., `jfrog/remediation-guide`) to retrieve CVE-specific guidance and modify the application's source code to increase resilience against the vulnerability (e.g., adding input validation).

3. **Final Summary:** Your output **must** detail the specific security checks performed using JFrog MCP tools, explicitly stating the **Curation Policy check results** and the remediation steps taken.

🎯 Best For

  • Security auditors
  • DevSecOps teams
  • Compliance officers
  • Claude users
  • GitHub Copilot users

💡 Use Cases

  • Auditing dependencies for known CVEs
  • Scanning API endpoints for auth gaps
  • Using JFrog Security Agent in daily workflow
  • Automating repetitive security tasks

📖 How to Use This Skill

  1. 1

    Install the Skill

    Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.

  2. 2

    Load into Your AI Assistant

    Open Claude or GitHub Copilot and reference the skill. Paste the SKILL.md content or use the system prompt tab.

  3. 3

    Apply JFrog Security Agent to Your Work

    Provide context for your task — paste source material, describe your audience, or share existing work to guide the AI.

  4. 4

    Review and Refine

    Edit the AI output for accuracy, tone, and completeness. Add human insight where the AI lacks context.

❓ Frequently Asked Questions

Can this replace a dedicated SAST tool?

AI-based security review is complementary to SAST tools. Use it as a first-pass filter, not a replacement.

How do I install JFrog Security Agent?

Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/jfrog-sec/SKILL.md, ready to use.

Can I customize this skill for my team?

Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.

⚠️ Common Mistakes to Avoid

Only scanning surface-level issues

Deep security review requires understanding your app architecture, not just regex patterns.

Not reading the full skill

Skills contain important context and edge cases beyond the quick start.

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