Cloud Vulnerability Triage & Contextualization

SkillSecurity

Use when triaging cloud security posture vulnerabilities and contextualizing

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Cloud Vulnerability Triage & Contextualization skill

What this skill tells your AI

The instructions your AI receives, as published by dandye/adk_runbooks in skills/triage/cloud-vulnerability-triage/SKILL.md and read by ahel’s review.

Objective: Triage top critical/high SCC vulnerability findings for a given project (${PROJECT_ID}). Enrich the CVEs with GTI, check for related exploitation activity in SIEM, and summarize findings for remediation prioritization, potentially adding context to a SOAR case.

Uses Tools:

  • scc-mcp.top_vulnerability_findings
  • scc-mcp.get_finding_remediation
  • gti-mcp_search_vulnerabilities (or get_threat_intel for CVE summary)
  • secops-mcp_search_security_events
  • secops-mcp_lookup_entity (for affected resource)
  • soar-mcp_post_case_comment (optional)
  • You may ask follow up question (optional)

ADK Graph-Based Workflow Diagram

graph TD
    START(["START"]) --> extract_vuln_node["1. extract_vuln_node<br/><i>(Extract SCC Finding Payload)</i>"]
    extract_vuln_node --> query_scc_findings_node["2. query_scc_findings_node<br/><i>(SCC Findings & CVE Exploitability)</i>"]
    query_scc_findings_node --> vuln_severity_router{"3. vuln_severity_router<br/><i>(Event.actions.route)</i>"}

    vuln_severity_router -- "IMMEDIATE_PATCH" --> handle_immediate_patch_branch["4a. handle_immediate_patch_branch<br/><i>(Emergency Patch & Isolation)</i>"]
    vuln_severity_router -- "STANDARD_REMEDIATION" --> handle_standard_remediation_branch["4b. handle_standard_remediation_branch<br/><i>(Standard Patch Schedule)</i>"]

    handle_immediate_patch_branch --> document_vuln_report_node["5. document_vuln_report_node<br/><i>(SOAR Comment & Report Summary)</i>"]
    handle_standard_remediation_branch --> document_vuln_report_node

Sequence Diagram

sequenceDiagram
    participant User
    participant AutomatedAgent as Automated Agent (MCP Client)
    participant SCC as scc-mcp
    participant GTI as gti-mcp
    participant SIEM as secops-mcp
    participant SOAR as secops-soar %% Underlying tool for documentation
    participant ConfirmAction as skills/common/confirm-action/SKILL.md
    participant DocumentInSOAR as skills/common/document-in-soar/SKILL.md

    User->>AutomatedAgent: Triage top vulnerabilities for project `${PROJECT_ID}`
    AutomatedAgent->>SCC: top_vulnerability_findings(project_id=`${PROJECT_ID}`, max_findings=5)
    SCC-->>AutomatedAgent: List of Top Findings (F1, F2... with CVE, Resource, Score)

    Note over AutomatedAgent: Initialize triage_report
    loop For each Finding Fi
        Note over AutomatedAgent: Extract CVE Ci and Resource Ri from Finding Fi
        AutomatedAgent->>SCC: get_finding_remediation(finding_id=Fi_ID)
        SCC-->>AutomatedAgent: Remediation Steps for Fi
        Note over AutomatedAgent: Add remediation to triage_report

        AutomatedAgent->>GTI: search_vulnerabilities(query=Ci)
        GTI-->>AutomatedAgent: GTI details for CVE Ci (Exploitation status, related threats)
        Note over AutomatedAgent: Add GTI context to triage_report

        AutomatedAgent->>SIEM: lookup_entity(entity_value=Ri, hours_back=168) %% Check resource activity (e.g., IP/hostname) for 7 days
        SIEM-->>AutomatedAgent: SIEM Summary for Resource Ri
        Note over AutomatedAgent: Add resource activity summary to triage_report

        AutomatedAgent->>SIEM: search_security_events(text="Events related to CVE Ci or exploitation attempts on Ri", hours_back=168)
        SIEM-->>AutomatedAgent: Potential exploitation events
        Note over AutomatedAgent: Add relevant event findings to triage_report
    end

    Note over AutomatedAgent: Synthesize triage_report with findings, context, and prioritization based on Score/GTI/SIEM data

    %% Optional: Confirm SOAR Update
    AutomatedAgent->>ConfirmAction: Execute(Input: QUESTION_TEXT="Triage complete...", RESPONSE_OPTIONS=...)
    ConfirmAction-->>AutomatedAgent: Results: USER_RESPONSE

    %% Optional: Document in SOAR
    alt USER_RESPONSE contains "Yes" %% Assumes format "Yes, Case [ID]"
        Note over AutomatedAgent: Extract CASE_ID from USER_RESPONSE
        Note over AutomatedAgent: Prepare COMMENT_TEXT for SOAR
        AutomatedAgent->>DocumentInSOAR: Execute(Input: CASE_ID, COMMENT_TEXT="SCC Vuln Triage Summary...")
        DocumentInSOAR-->>AutomatedAgent: Results: COMMENT_POST_STATUS
    end

    AutomatedAgent->>AutomatedAgent: attempt_completion(result="Cloud vulnerability triage for project `${PROJECT_ID}` complete. Findings synthesized. SOAR case potentially updated.")

## Rubrics

The following rubric is used to evaluate the execution of this **Triage/Response** runbook by an LLM agent.

### Grading Scale (0-100 Points)

| Criteria | Points | Description |
| :--- | :--- | :--- |
| **Context & Enrichment** | 25 | Correctly extracted entities and enriched them with relevant context (GTI, SIEM). |
| **Analysis & Decision** | 25 | Analyzed the enriched data to make a sound decision (FP/TP, Escalate/Close). |
| **Action Execution** | 20 | Performed the required response actions (e.g., isolation, containment) correctly. |
| **Documentation** | 15 | Clearly documented findings and actions in the case/ticket. |
| **Operational Artifacts** | 15 | Produced required artifacts: Sequence diagram, execution metadata (date/cost), and summary. |

### Evaluation Criteria Details

#### 1. Context & Enrichment (25 Points)
- **10 pts**: Accurately extracted key entities (IPs, users, hashes) from the input.
- **15 pts**: Performed necessary enrichment (e.g., `enrich_ioc`) to gather reputation and history.

#### 2. Analysis & Decision (25 Points)
- **15 pts**: Interpreted the context correctly to determine the nature of the alert.
- **10 pts**: Reached a logical conclusion or next step (e.g., "Escalate to Tier 2" or "Isolate Host").

#### 3. Action Execution (20 Points)
- **10 pts**: Called the correct tools to perform response actions (if applicable) or investigative steps.
- **10 pts**: Verified the success of actions or handled errors appropriately.

#### 4. Documentation (15 Points)
- **15 pts**: Posted a comprehensive comment or update to the SOAR case summarizing the triage.

#### 5. Operational Artifacts (15 Points)
- **5 pts**: **Sequence Diagram**: Produced a Mermaid sequence diagram visualizing the steps taken.
- **5 pts**: **Execution Metadata**: Recorded the date, duration, and estimated token cost.
- **5 pts**: **Summary Report**: Generated a concise summary of the actions and outcomes.

Signals

GitHub stars
84
Forks
14
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
cloud-vulnerability-triage
Source
github.com/dandye/adk_runbooks