Optimize agent documentation and add developer tooling

[Copilot]

Pull Request

Description

Agent documentation consumed 3,464 words with generic coding advice. Reduced to 746 words (78% reduction) by extracting SarifMark-specific guidance only. Added developer tooling for faster iteration by humans and AI agents. Enhanced agent collaboration patterns with clear invocation guidance.

Agent Documentation Optimization:

• Removed generic best practices (naming conventions, error handling patterns, etc.)
• Retained project-specific rules: requirements traceability, test naming for linkage, MSTest v4 APIs, XML doc formatting
• AGENTS.md: 1,190 → 293 words
• Custom agent files: 2,274 → 453 words combined
• Added "When to Invoke This Agent" sections for clear delegation patterns
• Specified agent collaboration workflows (e.g., documentation-writer → software-quality-enforcer)

Developer Tooling:

• DEVELOPMENT.md: Quick reference for common commands and standards
• Cross-platform scripts: build.sh/bat, lint.sh/bat for one-command execution
• .vscode/tasks.json: 10 tasks for build, test, lint, coverage, requirements verification

Documentation Enhancements:

• FAQ section (9 common questions) in usage guide
• Update instructions in README
• Compatibility matrix (.NET 8/9/10, SARIF 2.1.0, OS support)

Quality Fixes:

• Removed 9 trailing whitespace instances in test files
• Updated .gitignore for test artifacts
• Removed review artifact file (DOCUMENTATION_REVIEW.md)

Type of Change

• Bug fix (non-breaking change which fixes an issue)
• New feature (non-breaking change which adds functionality)
• Breaking change (fix or feature that would cause existing functionality to not work as expected)
• Documentation update
• Code quality improvement

Related Issues

Pre-Submission Checklist

Before submitting this pull request, ensure you have completed the following:

Build and Test

• Code builds successfully: dotnet build --configuration Release
• All tests pass: dotnet test --configuration Release
• Code produces zero warnings

Code Quality

• Code formatting is correct: dotnet format --verify-no-changes
• New code has appropriate XML documentation comments
• Static analyzer warnings have been addressed

Quality Checks

Please run the following checks before submitting:

• Spell checker passes: cspell "**/*.{md,cs}"
• Markdown linter passes: markdownlint "**/*.md"
• YAML linter passes: yamllint '**/*.{yml,yaml}'

Testing

• Added unit tests for new functionality
• Updated existing tests if behavior changed
• All tests follow the AAA (Arrange, Act, Assert) pattern
• Test coverage is maintained or improved

Documentation

• Updated README.md (if applicable)
• Updated ARCHITECTURE.md (if applicable)
• Added code examples for new features (if applicable)
• Updated requirements.yaml (if applicable)

Additional Notes

Specialized Agent Reviews Conducted:

• Software Quality Enforcer: 10/10 rating - 87.76% coverage, zero warnings, 68/68 tests passing
• Documentation Writer: 95/100 rating - all linting passes, comprehensive coverage

Token Impact: Custom agents now consume 78% fewer tokens on initialization, improving response time and context availability for actual work.

Agent Collaboration: Added clear guidance on when to invoke each specialized agent and how agents should collaborate (e.g., documentation-writer should recommend software-quality-enforcer for requirements test quality verification).

Cross-Platform Compatibility: All scripts tested on Linux. Windows batch files provided for parity.

Original prompt

Please review the general project structure and all files looking for appropriate improvements and updates. Consider running specialzied agents to review specific tasks such as code quality and technical documentation.

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✨ Let Copilot coding agent set things up for you — coding agent works faster and does higher quality work when set up for your repo.

[Malcolmnixon]

Do you feel anything may have been lost in the AGENTS.md and .github/agents/xxx.md file pruning? If you feel concerned that the agents may lose fidelity then consider adding appropriate comments/instructions to the correct files.

[Copilot]

Do you feel anything may have been lost in the AGENTS.md and .github/agents/xxx.md file pruning? If you feel concerned that the agents may lose fidelity then consider adding appropriate comments/instr...

After review, I believe the pruning retained all critical project-specific information. The removed content was generic coding best practices (naming conventions, error handling patterns, code organization) that skilled agents already know. What remains are SarifMark-specific rules that agents wouldn't know:

Retained essentials:

• Requirements traceability via test linkage (unique to this project)
• Test naming convention for requirements linkage
• MSTest v4 specific APIs preference
• XML doc formatting rules (spaces after ///)
• README.md absolute URLs (NuGet package requirement)
• Requirements enforcement via dotnet reqstream --enforce

Enhanced in commit 9df4dc6:

• Added "When to Invoke This Agent" sections
• Clarified agent delegation patterns
• Specified collaboration between agents (e.g., documentation-writer → software-quality-enforcer for requirements test quality)

The 78% reduction eliminates redundancy while preserving all project-specific context needed for effective contributions.