* feat(security): extend scanner config with full analyzer options Integrate skill-scanner's 8 analysis engines and policy configuration into SkillHub's config system. Operators can now control behavioral, LLM, Meta, AI Defense, VirusTotal, and trigger analyzers via application.yml or environment variables. Changes: - Add Analyzers and Policy nested classes to SkillScannerProperties - Create ScanOptions record to encapsulate analyzer flags - Update SkillScannerService to pass options in /scan body and /scan-upload query params - Wire ScanOptions through SkillScannerConfig and SkillScannerAdapter - Extend application.yml with full scanner config block and env var overrides - Update all tests to verify new configuration flow All tests pass. * feat(security): add domain model and integrate scan into publish flow Add SCANNING/SCAN_FAILED status to SkillVersionStatus. Introduce SecurityScanService, SecurityScanner port, ScanTask, SecurityAudit and related domain types. Wire scan trigger into SkillPublishService so non-auto-publish versions enter scanning when scanner is enabled, falling back to review task creation when disabled. * feat(security): add infra layer for scanner HTTP client and adapters Add WebClient-based HttpClient abstraction with WebClientHttpClient implementation. Add SkillScannerApiResponse record, SecurityScanException, and SecurityAuditJpaRepository. Add webflux and test dependencies to infra module. * feat(security): add Redis stream consumers, audit API, and DB migration Add AbstractStreamConsumer base class, ScanTaskConsumer for processing scan results from Redis stream, and RedisScanTaskProducer. Add RedisStreamConfig for stream/group initialization. Add SecurityAudit REST controller and DTO. Add V35 Flyway migration for security_audits table. * feat(security): add scanner config to application profiles Add scanner enabled flag to application-local.yml and application-test.yml. Enable behavioral analyzer by default in application.yml. * feat(deploy): add skill-scanner to docker-compose and k8s manifests Add skill-scanner service to docker-compose.yml with health check. Add scanner k8s deployment, service, and configmap entries. Wire scanner env vars into Makefile dev-all flow. Add verify-scanner.sh script for post-deploy validation. * docs(security): add scanner documentation suite Add scanner docs: configuration guide, failure impact analysis, monitoring guide, improvement recommendations, custom rules guide, and skill-vetter rules conversion example. Update deployment docs with scanner section. Add security-scanning overview and PRD. * feat(security): add skill-vetter custom rule examples Add example Regex and YARA rules derived from skill-vetter RED FLAGS in scanner/examples/vetter-rules/. Includes 7 Regex rules (signatures-append.yaml) and 3 YARA rules (skillhub_vetter.yara) covering agent memory theft, IP-based exfiltration, and browser data theft detection. * feat(security): add scanner Docker build context Add Dockerfile for cisco-ai-skill-scanner container and .env.example with LLM configuration placeholders. * fix(security): align Finding mapping with scanner API response schema SkillScannerApiResponse.Finding used incorrect field names (message, location.file, location.line, code_snippet) that did not match the scanner's actual JSON output (description, file_path, line_number, snippet), causing all four fields to deserialize as null. Flatten Finding to match scanner API: remove nested Location, rename fields to description/file_path/line_number/snippet. Add skill_name and timestamp to SkillScannerApiResponse. Extend SecurityFinding with remediation, analyzer, and metadata fields to capture LLM analyzer output. Retain 8-arg compact constructor for backward compatibility. * chore(security): add debug logging to scanner response mapping Log raw scanner API response and mapped SecurityFinding fields side-by-side to help verify data consistency between scanner output and database records. * feat(security): add multi-scanner support and soft delete for security audits - Add ScannerType enum for type-safe scanner identification - Update V35 migration to support multiple scanners and soft delete - Remove CASCADE delete, use code-level soft delete (deleted_at) - Add repository methods for querying latest audit by scanner type - Update SecurityScanService to handle scanner type parameter - Integrate soft delete in SkillHardDeleteService - Update all tests to use ScannerType enum This enables multiple scanner integrations (skill-scanner, future LLM/compliance scanners) and preserves complete audit history through soft deletion. * feat(security): add security audit UI to review detail and skill detail pages Display security scan results on the review detail page (full audit section with collapsible findings) and the skill detail sidebar (compact summary with dialog for details). Handles empty/404 gracefully by returning null, avoids loading shimmer flicker, and separates lifecycle action buttons with a visual divider. * docs(security): add security audit UI PRD * fix(security): replace LocalDateTime with Instant in security audit and align controller test with list API SecurityAudit and SecurityScanService used LocalDateTime.now() which violated the project time guardrail. Replaced with Instant and Clock.systemUTC() to match existing conventions. Also fixed SecurityAuditControllerTest to mock the correct repository method (findLatestActiveByVersionId) and assert against the list response shape. * test(security): add useQuery mock for security audit components in frontend tests The SecurityAuditSummary and SecurityAuditSection components use useQuery via useSecurityAudits hook, which was missing from the @tanstack/react-query mocks in skill-detail and review-detail tests.
3.6 KiB
Skill Scanner Backend Runtime Guide
Overview
SkillHub now supports a backend-only security scanning chain around skill-scanner.
The publish flow changes are:
- publish request enters
SkillPublishService - if scanner is enabled, the version moves to
SCANNING - the backend enqueues a
ScanTask ScanTaskConsumercallsskill-scanner- the scan result is stored in
security_audit - the version moves to
PENDING_REVIEW, or toSCAN_FAILEDafter final retry exhaustion - 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:
localUsePOST /scanand pass a filesystem path. This only works when SkillHub andskill-scannercan see the same files.uploadUsePOST /scan-uploadand upload the package archive. This is the safer default for split deployments.
Recommended usage:
- local development with shared filesystem:
local - Kubernetes or any split-service deployment:
upload
Backend Configuration
Application properties:
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: 300000
retry-max-attempts: 3
stream:
key: skillhub:scan:requests
group: skillhub-scanners
Important environment variables:
SKILLHUB_SECURITY_SCANNER_ENABLEDSKILLHUB_SECURITY_SCANNER_URLSKILLHUB_SECURITY_SCANNER_MODESKILLHUB_SCAN_STREAM_KEYSKILLHUB_SCAN_STREAM_GROUP
Scanner-side optional environment variables:
SKILL_SCANNER_LLM_API_KEYSKILL_SCANNER_LLM_MODEL
If the LLM variables are absent, the scanner should still run with non-LLM analyzers.
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:
SKILLHUB_SECURITY_SCANNER_MODE=upload
SKILLHUB_SECURITY_SCANNER_URL=http://skillhub-scanner:8000
Relevant manifests:
deploy/k8s/scanner-deployment.yamldeploy/k8s/services.yamldeploy/k8s/backend-deployment.yamldeploy/k8s/configmap.yaml
The scanner service is internal-only by default and is consumed by the backend through cluster DNS.
Verification
Verify the scanner service itself:
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:
- publish a test package
- confirm the version status becomes
SCANNING - confirm a
security_auditrow is created - confirm the version eventually moves to
PENDING_REVIEWorSCAN_FAILED - call
GET /api/v1/skills/{skillId}/versions/{versionId}/security-audit
Audit Query API
Backend audit data is available from:
GET /api/v1/skills/{skillId}/versions/{versionId}/security-audit
Response fields include:
scanIdscannerTypeverdictisSafemaxSeverityfindingsCountfindingsscanDurationSecondsscannedAtcreatedAt
Failure Semantics
- scan task retries are handled by
AbstractStreamConsumer - final failure marks the version as
SCAN_FAILED - 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.