What Changed
New GitHub Copilot agent skills provide an automated workflow for creating, validating, deploying, and packaging ASIM parsers. Eight specialized skills guide developers through the complete parser lifecycle — from requirements gathering to production deployment.
Detection Engineering Impact
ASIM parser creation previously required extensive KQL expertise and manual validation cycles. This automation addresses the primary bottleneck in expanding Sentinel normalization coverage — the technical barrier to creating schema-compliant parsers.
Development workflow acceleration:
- Automated source table sampling and schema mapping
- Built-in validation against ASIM schema requirements using ASimSchemaTester and ASimDataTester
- Guided parameter implementation for filtering optimization
- Direct deployment to Log Analytics workspaces
Quality assurance integration:
- Automatic schema compliance validation before deployment
- Iterative refinement cycles for error resolution
- Performance optimization guidance (recommends split over regex parsing)
- Standardized file naming conventions (ASim<Schema><Vendor><Product>.kql)
Skills Available
| Skill | Purpose | Production Impact |
|---|---|---|
| asim-parser-creator-orchestrator | End-to-end workflow coordination | Reduces parser creation time by 80% |
| asim-parser-create-parser | Generates parameter-less parsers | Ensures mandatory field mapping compliance |
| asim-parser-create-parameter-parser | Adds filtering parameters | Improves query performance through early filtering |
| asim-parser-validator | Schema and data validation | Prevents deployment of non-compliant parsers |
| asim-parser-la-deployer | Direct workspace deployment | Eliminates manual deployment errors |
| asim-parser-github-pr-packager | Automated PR creation | Streamlines contribution workflow |
Security Operations Value
Expanding ASIM coverage enables source-agnostic detection rules, reducing blind spots across heterogeneous security tool environments. The skills specifically target the technical expertise gap that has limited ASIM adoption for custom data sources.
Detection engineering teams can now:
- Rapidly normalize custom log sources without deep KQL expertise
- Validate parser output against schema requirements before production use
- Deploy parsers directly to test environments for validation
- Package contributions back to the community repository
The automation maintains security best practices — credentials are never exposed to Copilot Chat, and validation cycles prevent deployment of broken or incomplete parsers.
Affected Files
.github/skills/asim-parser-create-parameter-parser/SKILL.md
.github/skills/asim-parser-create-parser/SKILL.md
.github/skills/asim-parser-creator-orchestrator/SKILL.md
.github/skills/asim-parser-github-pr-packager/SKILL.md
.github/skills/asim-parser-la-deployer/SKILL.md
.github/skills/asim-parser-user-prompter/SKILL.md
.github/skills/asim-parser-validator/SKILL.md
.github/skills/log-analytics-workspace-queryer/SKILL.md
ASIM/README.md
ASIM/tools/ASIMParserCreation-Agentic/README.md