MR
Mayur Rathi
@github
⭐ 34.1k GitHub stars

JFrog Security Agent

JFrog Security Agent是一款security方向的AI技能,核心价值是The dedicated Application Security agent for automated security remediation,可用于解决开发者在security领域的实际问题,帮助用户提升效率、自动化重复任务或优化工作流。

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: 2026-05-30
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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