feat: Phase 2 CWE-78 Incident Remediation - Operational Capabilities#20
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…ration and review
Add agent interview protocol for standardized capability discovery: - 8 standardized questions for comprehensive agent documentation - Interview response template for consistent formatting - Sample security agent interview demonstrating the format - Phase 2 implementation plan for all related issues This establishes the foundation for maintaining accurate agent capabilities and enabling accurate orchestrator routing. Closes #6 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Add explicit routing algorithm for task-to-agent assignment: - Task classification guide with type/complexity/risk dimensions - Orchestrator routing algorithm with pseudocode implementation - Visual routing flowchart for quick reference - Updated orchestrator agents on all 3 platforms with routing references The algorithm validates against the CWE-78 incident scenario and would have correctly routed the task through security + devops agents. Closes #5 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Add comprehensive security audit capabilities: - Capability 1: Static analysis checklist with CWE patterns - Capability 2: Secret detection patterns for credentials/tokens - Capability 3: Code quality security guide for complexity metrics - Capability 4: Architecture security audit template - Capability 5: Security best practices enforcement guide Updated security agent on all 3 platforms (Claude, VS Code, Copilot CLI) with references to new capability documentation. Closes #10 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Add comprehensive governance framework for agent system evolution: - ADR template with agent-specific fields for proposals - Steering committee charter with roles and decision processes - Agent design principles (6 core principles) - Agent consolidation process with triggers and procedures - Public governance overview documentation This establishes formal processes for adding, modifying, and consolidating agents to maintain system health. Closes #8 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Add infrastructure file detection and security review triggers: - Infrastructure file patterns documentation with 10 categories - Security detection utility (PowerShell and Python versions) - Pre-commit hook integration (non-blocking warning) - PR template with security review checklist When infrastructure or security-critical files are changed, developers see a warning recommending security agent review. Closes #9 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Fixes #7 Implement the 8 key metrics for measuring agent system health: - Metric 1: Invocation Rate by Agent - Metric 2: Agent Coverage - Metric 3: Shift-Left Effectiveness (baseline documented) - Metric 4: Infrastructure Code Review Rate - Metric 5: Usage Distribution by Agent - Metric 6: Agent Review Turnaround Time (baseline documented) - Metric 7: Vulnerability Discovery Timeline (baseline documented) - Metric 8: Compliance with Agent Policies (baseline documented) Artifacts created: - docs/agent-metrics.md: Metric definitions and measurement methods - .agents/metrics/baseline-report.md: Pre-Phase 2 baseline measurements - .agents/metrics/dashboard-template.md: Monthly reporting template - .agents/utilities/metrics/collect_metrics.py: Python collection script - .agents/utilities/metrics/collect-metrics.ps1: PowerShell collection script - .agents/utilities/metrics/SKILL.md: Usage documentation - .github/workflows/agent-metrics.yml: Weekly automated collection 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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Pull request overview
This PR implements Phase 2 of the CWE-78 Incident Remediation effort, building operational capabilities on top of Phase 1's foundation work. The implementation addresses 6 issues (#5-#10) to enhance the multi-agent system's security, routing, governance, and observability capabilities. The changes are well-structured, comprehensive, and demonstrate a systematic approach to preventing future security incidents like the CWE-78 shell injection that motivated this work.
Key changes:
- Enhanced security agent with 5 comprehensive capabilities spanning vulnerability scanning, secret detection, code quality auditing, architecture security, and best practices enforcement
- Introduced explicit orchestrator routing algorithm with task classification, complexity assessment, and risk-level determination
- Established governance framework including ADR templates, steering committee charter, agent design principles, and consolidation processes
- Implemented automated security detection for infrastructure changes with pre-commit hook integration and PR template updates
- Created metrics collection system tracking 8 key metrics for agent system health and effectiveness
- Developed agent interview protocol with standardized questions for capability discovery
Reviewed changes
Copilot reviewed 37 out of 37 changed files in this pull request and generated 2 comments.
Show a summary per file
| File | Description |
|---|---|
vs-code-agents/security.agent.md |
Expanded security agent with 5 capabilities replacing simple responsibilities list |
claude/security.md |
Identical security agent expansion for Claude platform |
copilot-cli/security.agent.md |
Security agent expansion for Copilot CLI (consistency across platforms) |
vs-code-agents/orchestrator.agent.md |
Added routing algorithm references, quick classification table, and mandatory routing rules |
claude/orchestrator.md |
Orchestrator updates matching VS Code version |
copilot-cli/orchestrator.agent.md |
Orchestrator updates for Copilot CLI platform |
docs/task-classification-guide.md |
Comprehensive guide for classifying tasks by type, complexity, and risk level |
docs/orchestrator-routing-algorithm.md |
Detailed routing algorithm with pseudocode and decision logic |
docs/diagrams/routing-flowchart.md |
Visual flowcharts for routing decisions and classification |
docs/agent-metrics.md |
Definition of 8 key metrics for agent system observability |
docs/agent-governance.md |
Public overview of governance framework and processes |
.github/workflows/agent-metrics.yml |
CI workflow for automated weekly metrics collection |
.github/PULL_REQUEST_TEMPLATE.md |
PR template with security review checkboxes |
.githooks/pre-commit |
Integration of security detection warning (non-blocking) |
.agents/utilities/security-detection/detect_infrastructure.py |
Python script for detecting security-critical file changes |
.agents/utilities/security-detection/detect-infrastructure.ps1 |
PowerShell equivalent of detection script |
.agents/utilities/security-detection/SKILL.md |
Documentation for security detection utility |
.agents/utilities/metrics/collect_metrics.py |
Python script for collecting agent metrics from git history |
.agents/utilities/metrics/collect-metrics.ps1 |
PowerShell equivalent of metrics collection |
.agents/utilities/metrics/SKILL.md |
Documentation for metrics collection utility |
.agents/security/*.md (5 files) |
Detailed security capability documentation (static analysis, secrets, code quality, architecture, best practices) |
.agents/security/infrastructure-file-patterns.md |
Pattern definitions for infrastructure file detection |
.agents/metrics/dashboard-template.md |
Template for monthly metrics dashboards |
.agents/metrics/baseline-report.md |
Baseline measurements establishing pre-Phase 2 state |
.agents/governance/*.md (6 files) |
Governance framework documents including ADR template, charter, principles, consolidation process, interview protocol |
.agents/planning/phase-2-implementation-plan.md |
Comprehensive implementation plan for Phase 2 |
CLAUDE.md |
Updated with note about using codebase-context tools |
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Note Other AI code review bot(s) detectedCodeRabbit has detected other AI code review bot(s) in this pull request and will avoid duplicating their findings in the review comments. This may lead to a less comprehensive review. 📝 WalkthroughWalkthroughAdds a non-blocking security-detection step to the pre-commit hook, a new PR template, a weekly/manual agent-metrics GitHub Actions workflow, a markdownlint exclusion, and extensive documentation for agent governance, routing, metrics, classification, and security-agent capabilities. Only executable changes: the pre-commit hook and the workflow. Changes
Sequence Diagram(s)mermaid mermaid Estimated code review effort🎯 3 (Moderate) | ⏱️ ~25 minutes
Possibly related issues
Pre-merge checks and finishing touches✅ Passed checks (5 passed)
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🧰 Additional context used🔍 Remote MCP DeepWikiSummary of additional repository context most relevant to reviewing this PR
Quick reviewer actions to reduce drift/risk
Sources used
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.githooks/pre-commit(1 hunks).github/PULL_REQUEST_TEMPLATE.md(1 hunks).github/workflows/agent-metrics.yml(1 hunks)CLAUDE.md(1 hunks)claude/orchestrator.md(2 hunks)claude/security.md(1 hunks)copilot-cli/orchestrator.agent.md(2 hunks)copilot-cli/security.agent.md(1 hunks)docs/agent-governance.md(1 hunks)docs/agent-metrics.md(1 hunks)docs/diagrams/routing-flowchart.md(1 hunks)docs/orchestrator-routing-algorithm.md(1 hunks)docs/task-classification-guide.md(1 hunks)vs-code-agents/orchestrator.agent.md(2 hunks)vs-code-agents/security.agent.md(1 hunks)
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docs/orchestrator-routing-algorithm.md
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docs/task-classification-guide.md
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claude/orchestrator.md
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.github/PULL_REQUEST_TEMPLATE.md
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copilot-cli/orchestrator.agent.md
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vs-code-agents/orchestrator.agent.md
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🔇 Additional comments (16)
CLAUDE.md (1)
165-166: LGTM - Clear guideline addition.The new guideline to check team patterns using codebase-context tools before code generation/review is practical and well-placed in the utilities section.
.github/PULL_REQUEST_TEMPLATE.md (1)
1-69: LGTM - Comprehensive PR template with strong security focus.The template effectively integrates security review requirements with clear checkboxes and file listing prompts. The structure supports the PR's objective to ensure infrastructure and auth changes receive security review.
docs/diagrams/routing-flowchart.md (1)
368-408: LGTM - Excellent practical example.The CWE-78 routing example effectively demonstrates the four-phase routing process with concrete agent selections and handoffs, making the abstract flowcharts actionable.
claude/orchestrator.md (2)
115-138: LGTM - Clear routing guidance with actionable rules.The new routing algorithm section with quick classification table and mandatory agent rules provides concrete decision-making criteria. The requirement for security agent on
**/Auth/**and.githooks/*files directly supports the CWE-78 remediation objectives.
111-113: Security, devops, and explainer agent descriptions align well.The updated capability matrix entries clearly define each agent's primary function and best-use cases, supporting improved routing decisions.
claude/security.md (1)
28-66: LGTM - Consistent capability structure across platforms.The security agent capabilities are consistently defined across Claude and Copilot platforms, ensuring uniform security coverage. The five capabilities (static analysis, secret detection, code quality, architecture audit, best practices) comprehensively address security concerns.
Note: The same documentation file references should be verified as mentioned in the review of
copilot-cli/security.agent.md.docs/agent-governance.md (3)
17-26: LGTM - Clear and measurable design principles.The six design principles provide specific, actionable criteria for agent design. The 20% overlap threshold and 30-second entry criteria are concrete and testable, supporting effective governance.
39-47: LGTM - Specific consolidation thresholds.The consolidation triggers use measurable thresholds (>20% overlap, <5% invocations, >3 misroutes/month) that enable objective decision-making about agent lifecycle management.
9-15: Verify governance artifact files exist.The governance artifacts table references several foundational documents. Ensure these files are created as part of this PR or are tracked in related issues.
docs/agent-metrics.md (1)
1-300: Well-structured metrics documentation with clear definitions and measurement strategies.The 8 metrics are clearly defined with formulas, collection methods, targets, and baselines. Cross-references to related documentation and CI workflow are consistent and actionable. Once you address the markdown linting (missing language identifiers), this file is ready.
docs/task-classification-guide.md (1)
1-374: Comprehensive and actionable task classification framework aligned with PR objectives.The three-dimension classification (Type, Complexity, Risk) is clear, the examples are concrete (including the CWE-78 incident), and the decision flowchart makes routing explicit. The framework directly supports the orchestrator routing algorithm and agent selection documented elsewhere in the PR.
vs-code-agents/security.agent.md (1)
18-56: Well-structured capability model for security agent.Restructuring responsibilities into five explicit, documented capabilities (Static Analysis, Secret Detection, Code Quality, Architecture Audit, Best Practices) makes agent routing more precise and measurable. Each capability has a clear scope and supporting documentation reference.
copilot-cli/orchestrator.agent.md (1)
100-127: Routing algorithm documentation properly integrated into orchestrator agent guide.New agent descriptions (security, devops, explainer), Quick Classification table, Mandatory Agent Rules, and extended routing heuristics align with the detailed routing algorithm and task classification guides. Consistent cross-referencing supports users in understanding when to route to each agent.
Also applies to: 140-141
vs-code-agents/orchestrator.agent.md (1)
100-127: Consistent routing guidance across VS Code and Copilot CLI platforms.The orchestrator agent documentation is synchronized: new agent capabilities, Quick Classification table, Mandatory Agent Rules, and routing heuristics match the Copilot CLI version, ensuring users on either platform see the same routing logic.
Also applies to: 140-141
docs/orchestrator-routing-algorithm.md (2)
1-100: Comprehensive four-phase routing algorithm with clear classification and agent selection logic.The algorithm provides explicit pseudocode for task type classification, complexity assessment, risk determination, and agent sequencing. The use of wildcards in agent sequence matching (lines 164–178) allows flexible routing while mandatory agent rules enforce critical constraints (lines 187–203).
208-336: Execution strategy and conflict resolution are well-reasoned and safety-first.Serial execution of dependent agents (analyst → implementer, architect → implementer) prevents race conditions. Conflict resolution prioritizes security concerns, making explicit tradeoff decisions where agents disagree. The CWE-78 validation example confirms the routing algorithm would have caught the triggering incident.
Document fallback pattern when cloudmcp-manager memory tools fail: - memory-add_observations, memory-create_entities, etc. can fall back to - write_memory, read_memory, list_memories, delete_memory, edit_memory This provides a resilience mechanism for memory operations during tool failures or when cloudmcp-manager is unavailable. Fixes: Serena memory migration task
- Remove unused `import os` from collect_metrics.py (addresses Copilot comment) - Add symlink validation (MEDIUM-002) to security detection block for consistency with markdown linting section (addresses CodeRabbit nitpick) 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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@rjmurillo I've opened a new pull request, #21, to work on those changes. Once the pull request is ready, I'll request review from you. |
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@rjmurillo I've opened a new pull request, #22, to work on those changes. Once the pull request is ready, I'll request review from you. |
Initialize Serena MCP onboarding with comprehensive project knowledge: Onboarding memories (shared across team): - project-overview.md: Project purpose, features, tech stack, agent catalog - codebase-structure.md: Directory layout, artifact locations, key files - code-style-conventions.md: Markdown standards, commit format, agent conventions - suggested-commands.md: Windows/git/linting commands, installation scripts - task-completion-checklist.md: Pre-commit checks, commit standards, artifact locations Skills migration from .agents/skills/: - skills-linting.md: 9 linting skills + 2 anti-patterns (99.8% violation reduction) - skills-documentation.md: 11 documentation skills + 2 anti-patterns - skills-workflow.md: 10 workflow skills + 3 anti-patterns - skills-utilities.md: 2 utility automation skills Total: 32 skills + 7 anti-patterns at 85-95% atomicity Configuration: - .serena/project.yml: Serena MCP project settings - .serena/.gitignore: Cache exclusion (memories intentionally tracked for team knowledge) This provides persistent cross-session memory for all agents and learnings from Phase 1 development cycle. Memories are team-shared artifacts, not user-specific cache.
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@coderabbitai This is a false positive. All five security documentation files do exist in this PR: These files were created as part of Issue #10 (Security Agent Enhancement). The analysis appears to have run before the commit was fully processed. Reference commit: |
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@coderabbitai All code blocks in
No changes needed - the file passes markdownlint validation. |
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@coderabbitai All fenced code blocks in |
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Tip For best results, initiate chat on the files or code changes. 🧩 Analysis chain🏁 Script executed: Length of output: 745 🏁 Script executed: Length of output: 1786 🏁 Script executed: Length of output: 1177 🏁 Script executed: Length of output: 2454 🏁 Script executed: Length of output: 956 @rjmurillo You're absolutely correct—this is indeed a false positive, and I apologize for the error. All five security documentation files do exist in the PR commits: Root cause: The repository uses sparse checkout with the pattern The files were properly added in commit |
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@coderabbitai These are separate bullet points in a list of indicators, not a single joined concept: **Indicators**:
- Production code changes with test coverage
- Feature flag protected changes
- Internal tooling modificationsEach bullet is an independent indicator for Medium Risk classification. No grammar fix needed - the structure is intentional. |
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Tip For best results, initiate chat on the files or code changes. 🧩 Analysis chain🏁 Script executed: Length of output: 837 @rjmurillo You're correct. I verified the file and all code blocks in |
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Tip For best results, initiate chat on the files or code changes. @rjmurillo You're correct—I misread the structure. Each bullet point is an independent indicator, not part of a compound sentence requiring conjunctions. The formatting is correct as-is. No changes needed. |
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Tip For best results, initiate chat on the files or code changes. 🧩 Analysis chain🏁 Script executed: Length of output: 156 @rjmurillo: Confirmed. All 8 code blocks have the |
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Actionable comments posted: 2
♻️ Duplicate comments (1)
.githooks/pre-commit (1)
193-214: Consider warning when Python is unavailable.The security detection block correctly handles the symlink check and non-blocking execution. However, if the script exists but neither
python3norpythonis available, the block silently skips with no user feedback. The markdown linting section warns when its tool is missing (lines 118-120); this section should do the same for consistency.Apply this diff to add a missing-dependency warning:
elif [ -f "$SECURITY_DETECTION_SCRIPT" ]; then if command -v python3 &> /dev/null; then echo_info "Checking for security-critical file changes..." python3 "$SECURITY_DETECTION_SCRIPT" --git-staged || true elif command -v python &> /dev/null; then echo_info "Checking for security-critical file changes..." python "$SECURITY_DETECTION_SCRIPT" --git-staged || true + else + echo_info "Python not available. Skipping security detection." fi fi
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**/*.md
⚙️ CodeRabbit configuration file
**/*.md: Writing Quality: - Grade 9 reading level - Active voice, direct address - Short sentences (under 15 words ideal) - No fluff, filler, or marketing language - Replace adjectives with data where possible - Every sentence must pass the "so what" test
Flag These: - Passive voice - Vague language (nearly, some, almost, very) - Jargon without definitions - Outdated information conflicting with code changes in same PR - Missing context for new features or APIs
Ignore: - Minor style preferences - Heading level choices - Link formatting variations
Files:
CLAUDE.md
🔍 Remote MCP DeepWiki
Based on my comprehensive search of the vs-code-agents repository, here's the additional context gathered to help with reviewing this pull request:
Repository Overview The repository maintains a multi-agent system with 18 specialized agents deployed across three platforms:
- VS Code (GitHub Copilot Chat) - agents in
vs-code-agents/directory - GitHub Copilot CLI - agents in
copilot-cli/directory - Claude Code CLI - agents in
claude/directory
Each platform has identical agent behavior enforced through 1:1 parity requirements, with platform-specific syntax adaptations only for frontmatter, tool references, and invocation syntax.
Agent System Architecture The system consists of 18 specialized agents organized into functional layers:
Core Workflow Agents
- orchestrator: Routes complex tasks to appropriate specialist agents
- analyst: Pre-implementation research and root cause analysis
- architect: Design governance and ADR creation
- planner: Work breakdown and milestone definition
- critic: Plan validation (mandatory quality gate)
- implementer: Production code execution following Software Hierarchy of Needs
- qa: Test strategy design and verification
- security: Vulnerability assessment and threat modeling
Supporting Agents
- memory: Cross-session persistence via
cloudmcp-manager - skillbook: Learned strategy management with atomicity scoring
- retrospective: Post-implementation learning extraction
- devops, roadmap, explainer, task-generator, pr-comment-responder, independent-thinker, high-level-advisor
Key Governance & Consistency Requirements The repository enforces strict consistency across platforms while allowing platform-specific syntax:
Must Be Consistent Across All Three Platforms:
- Core agent identity and mission statement
- Key responsibilities (numbered list)
- Handoff protocol targets and conditions
- Memory entity naming conventions (
Feature-[Name],ADR-[Number],Skill-[Category]-[Number]) - Output directory structure (
.agents/subdirectories) - Constraints and "DO NOT" rules
- Skill citation protocol format
- Atomicity scoring thresholds (for skillbook/retrospective agents)
Platform-Specific Variations (Expected & Acceptable):
- Frontmatter fields: VS Code/Copilot CLI use full YAML; Claude uses minimal YAML
- Tool names:
execute(VS Code),shell(Copilot CLI),Bash(Claude) - Invocation syntax:
@agent-name(VS Code),copilot --agent(Copilot CLI),Task()(Claude) - File extensions:
.agent.md(VS Code/Copilot CLI) vs.md(Claude)
Agent Output Structure
All agents save artifacts to a standardized .agents/ directory with subdirectories:
.agents/analysis/- Research findings (by analyst).agents/architecture/- ADRs (by architect).agents/planning/- Implementation plans (by planner).agents/critique/- Plan validations (by critic).agents/qa/- Test reports (by qa).agents/retrospective/- Learning extractions (by retrospective)
File naming conventions:
- ADRs:
ADR-NNN-[decision-title].md - Plans:
NNN-[feature-name]-plan.md - Analyses:
NNN-[topic]-analysis.md - Retrospectives:
YYYY-MM-DD-[topic].md
Drift Detection Protocol The repository uses .github/copilot-code-review.md as the authoritative drift detection guide. When agents are modified, code reviewers verify consistency against nine key elements, with clear guidance on acceptable platform-specific differences versus required behavioral consistency.
The context gathered from DeepWiki provides comprehensive understanding of the agent system's architecture, governance requirements, and consistency enforcement mechanisms—all crucial for effectively reviewing a PR that implements Phase 2 of the CWE-78 Incident Remediation with new operational capabilities for the 18-agent system.
🔇 Additional comments (1)
.markdownlint-cli2.yaml (1)
56-56: LGTM.The exclusion pattern is correct and consistent with the existing glob patterns.
…ise reduction research documentation
Summary
Complete implementation of Phase 2 for CWE-78 Incident Remediation (Issue #4). This PR implements all 6 operational capability issues that build on Phase 1's foundation work.
Changes
Issue #6: Agent Interview Protocol
.agents/governance/agent-interview-protocol.mdwith 8 standardized questionsIssue #5: Orchestrator Routing Logic
docs/task-classification-guide.mdfor task type/complexity/risk classificationdocs/orchestrator-routing-algorithm.mdwith explicit routing pseudocodedocs/diagrams/routing-flowchart.mdIssue #10: Security Agent Enhancement
Issue #8: Governance Framework
Issue #9: Auto-trigger Security Agent
Issue #7: Agent Invocation Metrics
docs/agent-metrics.mdType of Change
Testing
Agent Review
Security Review
.agents/security/)Files requiring security review:
.github/workflows/agent-metrics.yml.githooks/pre-commit.agents/utilities/security-detection/detect_infrastructure.pyOther Agent Reviews
Checklist
Related Issues
Fixes #4 (Phase 2)
Fixes #5
Fixes #6
Fixes #7
Fixes #8
Fixes #9
Fixes #10
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