developer security user risk: medium
GHAS Vulnerability Triage and Upgrade Recommender
Analyzes GHAS alerts across repositories to identify dependency vs base image root causes, detect repeated vulnerability patterns, and prioritize remediation based on severity and…
- Policy sensitive
- Human review
PROMPT
Intelligent Vulnerability Triage Analyze GHAS alerts across repositories Identify dependency vs base image root causes Detect repeated vulnerability patterns Prioritize remediation based on severity and exposure Safe Upgrade Recommendations AI helped evaluate: Compatible dependency versions Breaking change risks Runtime impact across services Required code adjustments after upgrades This significantly reduced trial-and-error upgrades.
REQUIRED CONTEXT
- GHAS alerts
- repositories
OPTIONAL CONTEXT
- services
- runtime impact
ROLES & RULES
- Analyze GHAS alerts across repositories
- Identify dependency vs base image root causes
- Detect repeated vulnerability patterns
- Prioritize remediation based on severity and exposure
EXPECTED OUTPUT
- Format
- structured_report
- Constraints
-
- bullet_list
SUCCESS CRITERIA
- Identify dependency vs base image root causes
- Detect repeated vulnerability patterns
- Prioritize remediation based on severity and exposure
- Evaluate compatible dependency versions
- Evaluate breaking change risks
- Evaluate runtime impact across services
- Evaluate required code adjustments after upgrades
FAILURE MODES
- Lacks specific methods for analysis
- No output structure defined
- Narrow focus on dependencies and base images may miss other issues
- Requires undefined data sources
CAVEATS
- Dependencies
-
- GHAS alerts
- Repositories
- Services for runtime impact
- Missing context
-
- Input format (e.g., sample GHAS alerts or repositories data)
- Output format (e.g., report structure, prioritization table)
- Target audience or use case
- Success criteria for triage and recommendations
- Ambiguities
-
- Unclear purpose: appears to be a feature list or summary rather than actionable instructions for an AI.
- No explicit task, role, or call to action defined.
- Ambiguous whether this is input data, a prompt, or descriptive text.
QUALITY
- OVERALL
- 0.20
- CLARITY
- 0.50
- SPECIFICITY
- 0.20
- REUSABILITY
- 0.10
- COMPLETENESS
- 0.10
IMPROVEMENT SUGGESTIONS
- Prefix with a clear role and task: 'You are an Intelligent Vulnerability Triage expert. Analyze the following GHAS alerts [INPUT] by...'
- Structure as numbered steps with placeholders for inputs like {GHAS_ALERTS}.
- Add constraints like 'Base recommendations only on official sources' and output schema (e.g., JSON with priority scores).
- Define metrics for prioritization (e.g., CVSS score thresholds, exposure calculation).
USAGE
Copy the prompt above and paste it into your AI of choice — Claude, ChatGPT, Gemini, or anywhere else you're working. Replace any placeholder sections with your own context, then ask for the output.
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