mandate-2-4-4-runtime-evidence-intake-and-guidance
Collect natural-language system context and generate supporting evidence guidance for Mandate 2.4.4 Secure Inter-Agent Communication, including mTLS, certificate lifecycle, and network policy proof.
Best use case
mandate-2-4-4-runtime-evidence-intake-and-guidance is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Collect natural-language system context and generate supporting evidence guidance for Mandate 2.4.4 Secure Inter-Agent Communication, including mTLS, certificate lifecycle, and network policy proof.
Teams using mandate-2-4-4-runtime-evidence-intake-and-guidance should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/mandate-2-4-4-runtime-evidence-intake-and-guidance/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How mandate-2-4-4-runtime-evidence-intake-and-guidance Compares
| Feature / Agent | mandate-2-4-4-runtime-evidence-intake-and-guidance | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Collect natural-language system context and generate supporting evidence guidance for Mandate 2.4.4 Secure Inter-Agent Communication, including mTLS, certificate lifecycle, and network policy proof.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Mandate 2.4.4 Runtime Evidence Intake and Guidance Skill ## Mandate - ID: 2.4.4 - Title: Secure Inter-Agent Communication ## Mitigates - ASI07 Insecure Inter-Agent Communication ## Objective Gather communication topology context and produce a complete evidence plan proving encryption, mutual authentication, and channel integrity across agent interactions. ## Natural-Language Intake Workflow 1. Ask which agents/services communicate and over which protocols. 2. Ask whether service mesh or custom TLS is used. 3. Ask how certificates are issued, rotated, and revoked. 4. Ask how trust anchors/CA chains are managed. 5. Ask how unauthorized endpoints are blocked. 6. Ask how replay/spoofing/eavesdropping risks are tested. ## Context Normalization Schema Capture and normalize answers into: - `comm_topology`: agent pairs, protocols, ports, transport paths. - `crypto_posture`: TLS versions, cipher policies, mTLS requirements. - `identity_trust_chain`: CA, cert issuance workflow, SAN validation. - `cert_lifecycle`: rotation cadence, revocation process, expiration handling. - `network_enforcement`: firewall/network policy/service mesh authz rules. - `integrity_controls`: signatures/MAC/nonces/replay defense controls. - `security_validation`: penetration tests and abuse simulations. ## Supporting Documents to Request 1. Service mesh or communication architecture diagrams. 2. TLS/mTLS configuration and certificate authority details. 3. Certificate lifecycle logs (issuance, rotation, revocation). 4. Inter-service firewall/network policy exports. 5. Security test reports for spoofing/eavesdropping/replay. ## Guidance to Generate Supporting Evidence 1. Generate communication topology evidence. - Export service maps, endpoint inventories, and traffic policy maps. 2. Generate TLS/mTLS posture evidence. - Export active TLS and peer-authentication policies. 3. Generate certificate lifecycle evidence. - Export CA inventory and cert issuance/rotation/revocation logs. 4. Generate network policy evidence. - Export inter-service allow/deny rules proving least-connectivity. 5. Generate security validation evidence. - Export test reports showing resistance to spoofing/replay/eavesdropping. ## System Command Templates (Adapt to Environment) - Kubernetes service and policy map: - `kubectl get svc -A -o wide > services_export.txt` - `kubectl get networkpolicy -A -o yaml > network_policies.yaml` - Istio/mesh security policies (if applicable): - `kubectl get peerauthentication -A -o yaml > peerauthentication.yaml` - `kubectl get destinationrule -A -o yaml > destinationrules.yaml` - `istioctl authn tls-check <pod>.<namespace>` - TLS certificate inspection: - `openssl s_client -connect <host>:<port> -showcerts </dev/null > tls_chain_<host>_<port>.txt` - AWS certificate inventory (if applicable): - `aws acm list-certificates > acm_certificates.json` - `aws acm describe-certificate --certificate-arn <arn> > acm_certificate_detail.json` - GCP certificate inventory (if applicable): - `gcloud certificate-manager certificates list --format=json > gcp_certificates.json` ## Evidence Completeness Rules - Require at least one artifact per control domain: encryption, mutual auth, cert lifecycle, network restriction, testing. - Reject artifacts that do not map to specific agent communication paths. - Mark artifacts stale if they do not reflect current deployment. ## Final Assessment Readiness - Ready only when all agent communication paths have matching cryptographic, identity, and network control evidence. - Not ready if any path is undocumented or lacks proof of control enforcement. ## Output Contract Return: - `context_profile` - `communication_control_matrix` - `required_artifacts_checklist` - `artifact_generation_steps` - `command_templates` - `evidence_status_matrix` - `assessment_readiness` - `remaining_gaps` ## Guardrails - Keep evidence collection non-invasive and read-only by default. - Request explicit environment scoping before generating commands. - Flag unmanaged communication channels immediately as high risk.
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