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.
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
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
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
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
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.