# Skill Scanner Backend Runtime Guide > **Document status:** This is a historical backend implementation note, updated with the > current Scanner 2.1.0 runtime and rollout constraints. It does not expand the supported > analyzer or deployment contract. ## Overview SkillHub now supports a backend-only security scanning chain around `skill-scanner`. The Scanner image pins `cisco-ai-skill-scanner==2.1.0` and uses a glibc-based Linux runtime. Published images support `linux/amd64` and `linux/arm64`. The publish flow changes are: 1. publish request enters `SkillPublishService` 2. if scanner is enabled, the version moves to `SCANNING` 3. the backend enqueues a `ScanTask` 4. `ScanTaskConsumer` calls `skill-scanner` 5. the scan result is stored in `security_audit` 6. the version moves to `PENDING_REVIEW`, or to `SCAN_FAILED` after final retry exhaustion 7. review still happens through the existing review workflow Frontend is intentionally out of scope here. The frontend should fetch audit details through the dedicated backend API instead of expecting scanner data inside existing review detail payloads. ## Runtime Modes Two runtime modes are supported: - `local` Use `POST /scan` and pass a filesystem path. SkillHub and `skill-scanner` must mount the same directory at the same path. The Scanner must also allow that root; for the standard path, set `SKILL_SCANNER_ALLOWED_ROOTS=/tmp/skillhub-scans`. - `upload` Use `POST /scan-upload` and upload the package archive. This is the mode used by the official Compose and Kubernetes deployments. Recommended usage: - local development with shared filesystem: `local` - official Compose, Kubernetes, or any split-service deployment: `upload` ## Backend Configuration Application properties: ```yaml skillhub: security: scanner: enabled: false base-url: http://localhost:8000 health-path: /health scan-path: /scan-upload mode: local connect-timeout-ms: 5000 read-timeout-ms: 900000 retry-max-attempts: 3 stream: key: skillhub:scan:requests group: skillhub-scanners reclaim-min-idle: PT16M max-unavailable-age: PT1H ``` Important environment variables: - `SKILLHUB_SECURITY_SCANNER_ENABLED` - `SKILLHUB_SECURITY_SCANNER_URL` - `SKILLHUB_SECURITY_SCANNER_MODE` - `SKILLHUB_SECURITY_SCANNER_READ_TIMEOUT` - `SKILLHUB_SCAN_STREAM_KEY` - `SKILLHUB_SCAN_STREAM_GROUP` - `SKILLHUB_SCAN_STREAM_RECLAIM_MIN_IDLE` - `SKILLHUB_SECURITY_STREAM_MAX_UNAVAILABLE_AGE` Scanner-side optional environment variables: - `SKILL_SCANNER_LLM_API_KEY` - `SKILL_SCANNER_LLM_BASE_URL` - `SKILL_SCANNER_LLM_MODEL` - `SKILLHUB_SCANNER_MAX_CONCURRENT_SCANS` (default `1`) - `SKILLHUB_SCANNER_HARD_TIMEOUT_SECONDS` (default `930`) - `SKILLHUB_SCANNER_MAX_UPLOAD_SIZE_BYTES` (default `110100480`, or 105 MiB) If the LLM variables are absent, the scanner should still run with non-LLM analyzers. The default timeout ordering is server read timeout (900 seconds), scanner hard timeout (930 seconds), then pending-message reclaim (960 seconds). A hard timeout exits the scanner process with status `124`; Compose or Kubernetes restarts it and the Redis pending task is retried. ## Kubernetes Notes Current repository manifests assume **separate** `skillhub-server` and `skillhub-scanner` deployments. Because these deployments do not share a writable package directory, Kubernetes should use: ```text SKILLHUB_SECURITY_SCANNER_MODE=upload SKILLHUB_SECURITY_SCANNER_URL=http://skillhub-scanner:8000 ``` Relevant manifests: - `deploy/k8s/scanner-deployment.yaml` - `deploy/k8s/services.yaml` - `deploy/k8s/backend-deployment.yaml` - `deploy/k8s/configmap.yaml` The scanner service is internal-only by default and is consumed by the backend through cluster DNS. ## Rolling Upgrade to Scanner 2.1.0 The Server and Scanner HTTP contracts must be upgraded in this order: 1. deploy the compatibility Server release while the old Scanner is still running 2. drain and remove every old Server instance, including in-flight scan requests 3. upgrade the Scanner to 2.1.0 4. verify `/health` and an upload-mode scan before restoring normal traffic Do not run an old Server against Scanner 2.1.0. During a mixed-version rollout in either scan mode, keep AI Defense disabled (`SKILLHUB_SCANNER_USE_AI_DEFENSE=false`, the default). If AI Defense must remain enabled before the old Scanner is retired, configure its credential directly in the old Scanner environment using the variable supported by that Scanner version. Never place an AI Defense key in URL query parameters or request bodies. ## Verification Verify the scanner service itself: ```bash sh scripts/verify-scanner.sh http://localhost:8000 sh scripts/verify-scanner.sh http://localhost:8000 /path/to/skill.zip ``` Recommended backend checks after enabling the feature: 1. publish a test package 2. confirm the version status becomes `SCANNING` 3. confirm a `security_audit` row is created 4. confirm the version eventually moves to `PENDING_REVIEW` or `SCAN_FAILED` 5. call `GET /api/v1/skills/{skillId}/versions/{versionId}/security-audit` ## Audit Query API Backend audit data is available from: ```text GET /api/v1/skills/{skillId}/versions/{versionId}/security-audit ``` Response fields include: - `scanId` - `scannerType` - `verdict` - `isSafe` - `maxSeverity` - `findingsCount` - `findings` - `scanDurationSeconds` - `scannedAt` - `createdAt` `isSafe: true` means the scan found no high-risk issue. It does not mean that the scan produced no findings: lower-severity findings may still be present and `findingsCount` may be non-zero. The UI therefore renders this state as **No high-risk findings**, not as an unconditional safety guarantee. ## Failure Semantics - scan task retries are handled by `AbstractStreamConsumer` - scanner connection failures, HTTP 429, and HTTP 5xx remain pending for automatic recovery - unavailable tasks older than `max-unavailable-age` are marked `SCAN_FAILED`, acknowledged, and removed from the Redis Stream - the timeout is evaluated during pending reclaim; terminal handling can occur roughly one `reclaim-min-idle` plus one `reclaim-interval` after the configured age - terminal failures retain a failure reason in the security audit response for operators and authorized users - other final failures mark the version as `SCAN_FAILED` after retry exhaustion - even after scan failure, a review task is still created so the package does not get stuck forever This keeps the existing human review path intact while making scanner failures visible.