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Map identified threats to appropriate security controls and mitigations. Use when prioritizing security investments, creating remediation plans, or validating control effectiveness.
--- name: threat-mitigation-mapping-a84fc2da28e3 description: "Map identified threats to appropriate security controls and mitigations. Use when prioritizing security investments, creating remediation plans, or validating control effectiveness." risk: unknown source: community date_added: "2026-02-27" --- # Threat Mitigation Mapping Connect threats to controls for effective security planning. ## Use this skill when - Prioritizing security investments - Creating remediation roadmaps - Validating control coverage - Designing defense-in-depth - Security architecture review - Risk treatment planning ## Do not use this skill when - The task is unrelated to threat mitigation mapping - You need a different domain or tool outside this scope ## Instructions - Clarify goals, constraints, and required inputs. - Apply relevant best practices and validate outcomes. - Provide actionable steps and verification. - If detailed examples are required, open `resources/implementation-playbook.md`. ## Resources - `resources/implementation-playbook.md` for detailed patterns and examples. --- <!-- AGI-INTEGRATION-START --> ## AGI Framework Integration > **Adapted for [@techwavedev/agi-agent-kit](https://www.npmjs.com/package/@techwavedev/agi-agent-kit)** > Original source: [antigravity-awesome-skills](https://github.com/sickn33/antigravity-awesome-skills) ### Memory-First Protocol Cache compliance check results to avoid re-running expensive AWS API calls. Retrieve prior audit findings to track remediation progress across sessions. ```bash # Check for prior security context before starting python3 execution/memory_manager.py auto --query "prior security audit results for Threat Mitigation Mapping" ``` ### Storing Results After completing work, store security decisions for future sessions: ```bash python3 execution/memory_manager.py store \ --content "Audit findings: 3 critical IAM misconfigurations found and remediated" \ --type technical --project <project> \ --tags threat-mitigation-mapping security ``` ### Multi-Agent Collaboration Share security findings with other agents so they avoid introducing vulnerabilities in their code changes. ```bash python3 execution/cross_agent_context.py store \ --agent "<your-agent>" \ --action "Completed security audit — 3 critical findings fixed, compliance score 94%" \ --project <project> ``` ### Signed Audit Trail All security findings are cryptographically signed with the agent's Ed25519 identity, providing tamper-proof audit logs for compliance reporting. ### Semantic Cache for Compliance Cache compliance check results (`semantic_cache.py`) to avoid redundant AWS API calls. Cache hit at similarity >0.92 returns prior results instantly. <!-- AGI-INTEGRATION-END -->--- name: threat-mitigation-mapping-a84fc2da28e3 description: "Map identified threats to appropriate security controls and mitigations. Use when prioritizing security investments, creating remediation plans, or validating control effectiveness." risk: unknown source: community date_added: "2026-02-27" --- # Threat Mitigation Mapping Connect threats to controls for effective security planning. ## Use this skill when - Prioritizing security investments - Creating remediation roadmaps - Validating control coverage - Designing defense-in-depth - Security architecture review - Risk treatment planning ## Do not use this skill when - The task is unrelated to threat mitigation mapping - You need a different domain or tool outside this scope ## Instructions - Clarify goals, constraints, and required inputs. - Apply relevant best practices and validate outcomes. - Provide actionable steps and verification. - If detailed examples are required, open `resources/implementation-playbook.md`. ## Resources - `resources/implementation-playbook.md` for detailed patterns and examples. --- <!-- AGI-INTEGRATION-START --> ## AGI Framework Integration > **Adapted for [@techwavedev/agi-agent-kit](https://www.npmjs.com/package/@techwavedev/agi-agent-kit)** > Original source: [antigravity-awesome-skills](https://github.com/sickn33/antigravity-awesome-skills) ### Memory-First Protocol Cache compliance check results to avoid re-running expensive AWS API calls. Retrieve prior audit findings to track remediation progress across sessions. ```bash # Check for prior security context before starting python3 execution/memory_manager.py auto --query "prior security audit results for Threat Mitigation Mapping" ``` ### Storing Results After completing work, store security decisions for future sessions: ```bash python3 execution/memory_manager.py store \ --content "Audit findings: 3 critical IAM misconfigurations found and remediated" \ --type technical --project <project> \ --tags threat-mitigation-mapping security ``` ### Multi-Agent Collaboration Share security findings with other agents so they avoid introducing vulnerabilities in their code changes. ```bash python3 execution/cross_agent_context.py store \ --agent "<your-agent>" \ --action "Completed security audit — 3 critical findings fixed, compliance score 94%" \ --project <project> ``` ### Signed Audit Trail All security findings are cryptographically signed with the agent's Ed25519 identity, providing tamper-proof audit logs for compliance reporting. ### Semantic Cache for Compliance Cache compliance check results (`semantic_cache.py`) to avoid redundant AWS API calls. Cache hit at similarity >0.92 returns prior results instantly. <!-- AGI-INTEGRATION-END -->
Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.