* 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.
* feat(profile): add field policy config and GET response
Add per-field edit policy configuration (editable, requiresReview) to
application.yml and expose it in the GET /api/v1/user/profile response
via a new fieldPolicies map, enabling the frontend to dynamically render
fields based on backend-driven policies.
* feat(profile): implement mixed submission in PATCH
Split profile update changes by per-field policy: fields without
requiresReview apply immediately, fields with requiresReview enter
the pending queue. Return PARTIALLY_APPLIED status with appliedFields
and pendingFields maps when both paths trigger in a single request.
* feat(web): rewrite profile page with dynamic fields
Render profile fields dynamically from backend fieldPolicies, with
whole-page read/edit mode toggle. Handle APPLIED, PENDING_REVIEW, and
PARTIALLY_APPLIED responses. Add i18n keys for review hints and
partial-apply toasts in both en and zh.
* merge: resolve deepwiki.yml conflict with package-lock.json fix
* api schema
* fix(profile): align moderation defaults and tests
* ci(deepwiki): run crawler on release publish
* fix(auth): enable local bootstrap admin by default
* feat(profile): add field policy config and GET response
Add per-field edit policy configuration (editable, requiresReview) to
application.yml and expose it in the GET /api/v1/user/profile response
via a new fieldPolicies map, enabling the frontend to dynamically render
fields based on backend-driven policies.
* feat(profile): implement mixed submission in PATCH
Split profile update changes by per-field policy: fields without
requiresReview apply immediately, fields with requiresReview enter
the pending queue. Return PARTIALLY_APPLIED status with appliedFields
and pendingFields maps when both paths trigger in a single request.
* feat(web): rewrite profile page with dynamic fields
Render profile fields dynamically from backend fieldPolicies, with
whole-page read/edit mode toggle. Handle APPLIED, PENDING_REVIEW, and
PARTIALLY_APPLIED responses. Add i18n keys for review hints and
partial-apply toasts in both en and zh.
* merge: resolve deepwiki.yml conflict with package-lock.json fix
* api schema
* fix(profile): align moderation defaults and tests
* ci(deepwiki): run crawler on release publish
* feat: add user profile update feature with moderation support
Add ability for users to update their display name with optional machine/human review.
Backend:
- Add profile_change_request table (V15 migration)
- Add UserProfileService with moderation workflow
- Add PATCH /api/v1/user/profile and GET /api/v1/user/profile endpoints
- Add ProfileModerationService interface with NoOp implementation
- Add ProfileModerationProperties for machine/human review toggles
- Update AuthController /me to refresh session when displayName changes
- Add i18n messages for profile validation and responses
Frontend:
- Add /settings/profile page with edit-on-click pattern
- Add profileApi.updateProfile() to client
- Update user menu: add "Profile Settings", make "Security Settings" local-only
- Add i18n translations (en/zh) for profile settings
Testing:
- Add UserProfileControllerTest with 8 test cases
- Add UserProfileServiceTest with 6 test cases
- Add AuthControllerTest case for session refresh on displayName change
* version sql
* merge main
* feat: add profile review admin workflow
* feat(web): add pagination to skill review list
- useReviewList now passes page/size to backend and returns paginated response
- reviews.tsx maintains per-tab page state with prev/next controls
- namespace-reviews.tsx adapted to new response shape
- Added i18n keys for pagination (en/zh)
* feat(web): lazy-load review tabs and adjust profile review pagination
- Skill review tabs only fetch data when activated (not all 3 on mount)
- Tabs component now supports controlled mode via value prop
- Profile review page size reduced from 20 to 10
- Profile review pagination bar always visible regardless of page count
* feat(web): lazy-load profile review tabs
- useProfileReviewList now accepts enabled parameter
- Profile review tabs only fetch data when activated
* remove unnecessary file
* remove unnecessary file
- Skill review tabs only fetch data when activated (not all 3 on mount)
- Tabs component now supports controlled mode via value prop
- Profile review page size reduced from 20 to 10
- Profile review pagination bar always visible regardless of page count
