Cloud Vulnerability Triage & Contextualization
SkillSecurityUse when triaging cloud security posture vulnerabilities and contextualizing
Available today. Use it from your connected AI after setup.
No other account needed.
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 (${PROJECT_ID}). Enrich the CVEs with GTI, check for related exploitation activity in SIEM, and summarize findings for remediation prioritization, potentially adding context to a SOAR case.
Uses Tools:
scc-mcp.top_vulnerability_findingsscc-mcp.get_finding_remediationgti-mcp_search_vulnerabilities(orget_threat_intelfor CVE summary)secops-mcp_search_security_eventssecops-mcp_lookup_entity(for affected resource)soar-mcp_post_case_comment(optional)- You may ask follow up question (optional)
ADK Graph-Based Workflow Diagram
graph TD
START(["START"]) --> extract_vuln_node["1. extract_vuln_node<br/><i>(Extract SCC Finding Payload)</i>"]
extract_vuln_node --> query_scc_findings_node["2. query_scc_findings_node<br/><i>(SCC Findings & CVE Exploitability)</i>"]
query_scc_findings_node --> vuln_severity_router{"3. vuln_severity_router<br/><i>(Event.actions.route)</i>"}
vuln_severity_router -- "IMMEDIATE_PATCH" --> handle_immediate_patch_branch["4a. handle_immediate_patch_branch<br/><i>(Emergency Patch & Isolation)</i>"]
vuln_severity_router -- "STANDARD_REMEDIATION" --> handle_standard_remediation_branch["4b. handle_standard_remediation_branch<br/><i>(Standard Patch Schedule)</i>"]
handle_immediate_patch_branch --> document_vuln_report_node["5. document_vuln_report_node<br/><i>(SOAR Comment & Report Summary)</i>"]
handle_standard_remediation_branch --> document_vuln_report_node
Sequence Diagram
sequenceDiagram
participant User
participant AutomatedAgent as Automated Agent (MCP Client)
participant SCC as scc-mcp
participant GTI as gti-mcp
participant SIEM as secops-mcp
participant SOAR as secops-soar %% Underlying tool for documentation
participant ConfirmAction as skills/common/confirm-action/SKILL.md
participant DocumentInSOAR as skills/common/document-in-soar/SKILL.md
User->>AutomatedAgent: Triage top vulnerabilities for project `${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