Research Phase Sequence
Date: 2025-04-23
Research Context
This document defines the structured sequence of research phases that will guide the systematic investigation of cybersecurity threats and AI governance risks throughout Operation Foresight.
Task ID: phase_001
Objective
Define a structured sequence of research phases based on MCP logic primitives to guide the systematic investigation of cybersecurity threats and AI governance risks.
Logic Process Framework
This phase sequence applies the Strategic Planning (Define → Infer → Synthesize) primitive chain for high-level organization, while embedding specific primitive combinations within each phase.
Phase 0: Initialization & Planning
Purpose
Create the context, structure the plan, and define mission scope.
Primary Logic Primitives
- •
define
→ Establish project parameters and boundaries - •
sequence
→ Create temporal and logical phase mapping - •
reflect
→ Identify potential blindspots before beginning
Key Tasks
define_project_scope
→ Establish boundaries and expectations ✓define_threat_typologies
→ Create taxonomic framework for threats ✓sequence_research_phases
→ Map the investigation flow ✓reflect_on_known_blindspots
→ Preemptively identify gaps
Transition Criteria
- • Scope document approved
- • Threat typology framework defined
- • Research phases sequence established
- • Initial boomerang state established
Output Artifacts
- • scope-definition.html ✓
- • threat-typologies.html ✓
- • research-phases.html ✓
- •
.roo/boomerang-state.json
update
Phase 1: Observation & Signal Filtering
Purpose
Collect raw intelligence, web signals, and primary data about emerging threats and governance issues.
Primary Logic Primitives
- •
observe
→ Gather raw intelligence without distortion - •
distinguish
→ Separate signal from noise using criteria - •
reflect
→ Consider potential blindspots in observation
Key Tasks
observe_recent_ai_threats
→ Raw data collection on new vulnerabilities, attack vectors, LLM exploitsobserve_governance_failures
→ Capture governance events, legal shifts, policy reversalsdistinguish_critical_events
→ Filter observations based on significance criteriareflect_on_observation_gaps
→ Identify potential observation blindspots
Process Combinations
- • Initial Curiosity (Observe)
- • Information Filtering (Observe → Reflect → Define)
- • Anomaly Detection (Observe → Reflect → Infer)
Transition Criteria
- • Minimum threshold of observations collected
- • Critical signals identified and filtered
- • Observation matrix populated with raw data
- • Initial SCM triggers documented
Output Artifacts
Phase 2: Definition & Classification
Purpose
Build structured definitions and typologies from raw observations.
Primary Logic Primitives
- •
define
→ Establish precise boundaries and characteristics - •
distinguish
→ Identify categorical differences - •
compare
→ Evaluate similarities and differences
Key Tasks
define_threat_vector_profiles
→ Assign scope, actors, means, motivesdefine_governance_models
→ Map regulatory forms (centralized, distributed, absent)compare_state_responses
→ Evaluate geopolitical governance divergencesdistinguish_public_vs_private
→ Identify control asymmetries
Process Combinations
- • Conceptual Mapping (Define → Synthesize → Reflect)
- • Comparative Analysis (Observe → Define → Reflect → Infer → Synthesize)
- • Contextual Understanding (Observe → Reflect → Define)
Transition Criteria
- • Complete set of threat vector profiles
- • Governance model taxonomy defined
- • Comparative analysis of regulatory approaches complete
- • Classification system validated
Output Artifacts
Phase 3: Inference & Reflection
Purpose
Generate predictions, identify patterns, and evaluate second-order effects.
Primary Logic Primitives
- •
infer
→ Draw conclusions and predictions from evidence - •
reflect
→ Evaluate the quality and completeness of inferences - •
ask
→ Identify areas where additional information is needed
Key Tasks
infer_second_order_effects
→ Predict cascading impacts of threatsinfer_regulation_effectiveness
→ Assess likely outcomes of governance approachesreflect_on_framework_gaps
→ Identify weaknesses in current modelsinfer_interaction_patterns
→ Predict how threats and governance interact
Process Combinations
- • Future Projection (Define → Infer → Reflect → Infer → Synthesize)
- • Hypothesis Testing (Define → Observe → Infer → Reflect)
- • Risk Evaluation (Define → Reflect → Infer)
Transition Criteria
- • Second-order effects mapped
- • Governance effectiveness predictions documented
- • Framework gap analysis complete
- • Interaction pattern matrix populated
Output Artifacts
Phase 4: Synthesis & Output Generation
Purpose
Integrate all findings into coherent narrative and decision-grade artifacts.
Primary Logic Primitives
- •
synthesize
→ Merge multiple findings into coherent whole - •
decide
→ Make determinations about priorities and recommendations - •
sequence
→ Order findings and recommendations logically
Key Tasks
synthesize_report_outline
→ Organize into introduction, threat chapters, governance reviewgenerate_threat_matrix
→ Create crosswalk of threats vs. governance gapscreate_visual_maps
→ Develop actor networks, timelines, etc.sequence_recommendations
→ Order recommendations by priority and dependency
Process Combinations
- • Synthesizing Complexity (Observe → Define → Infer → Reflect → Synthesize)
- • Prioritization (Observe → Define → Reflect → Synthesize)
- • Narrative Construction (Define → Infer → Synthesize)
Transition Criteria
- • Complete draft report generated
- • Threat matrix visualization created
- • Visual maps and diagrams produced
- • Recommendations sequenced and prioritized
Output Artifacts
Phase 5: Adaptation & Finalization
Purpose
Review, revise, and refine report based on feedback and new information.
Primary Logic Primitives
- •
adapt
→ Modify output based on new information or feedback - •
reflect
→ Consider the completeness and quality of final outputs - •
decide
→ Make final determinations about report content
Key Tasks
reflect_on_report_completeness
→ Assess coverage and logical integrityadapt_based_on_scm_insights
→ Incorporate Strategic Curiosity Mode findingsdecide_output_format
→ Determine final presentation formatsadapt_for_audience
→ Tailor language and detail level for target audience
Process Combinations
- • Strategic Adjustment (Reflect → Observe → Define → Infer → Synthesize)
- • Critical Review (Observe → Reflect → Synthesize)
- • Decision Validation (Infer → Reflect → Observe)
Transition Criteria
- • Comprehensive review completed
- • SCM insights integrated
- • Output formats finalized
- • Audience adaptation complete
Output Artifacts
Strategic Curiosity Mode (SCM)
Trigger
During any phase when gaps, anomalies, or overlooked patterns appear.
Primary Logic Primitives
- •
ask
→ Formulate questions about unexplored angles - •
observe
→ Gather additional data on anomalous patterns - •
infer
→ Generate hypotheses about unexplained phenomena - •
synthesize
→ Create speculative models or explanations
Key SCM Tasks
identify_scm_trigger
→ Document what caused SCM activationexplore_speculative_vector
→ Investigate anomaly or gapsynthesize_scm_insight
→ Create hypothesis or explanationdecide_integration_approach
→ Determine how to incorporate insight
Process Combinations
- • Anomaly Detection (Observe → Reflect → Infer)
- • Creative Ideation (Infer → Synthesize → Reflect)
- • Hypothesis Refinement (Infer → Reflect → Define)
SCM Output Artifacts
Recursive Refinement
Throughout all phases, we maintain the possibility of recursion. Any phase may trigger a return to an earlier phase if:
- New information challenges previous definitions or classifications
- Inferences reveal gaps in our observational data
- Synthesis highlights definitional inconsistencies
- SCM insights suggest entirely new vectors for investigation
Each recursive loop must be documented with:
- • Trigger rationale
- • Loop trajectory (which phases are revisited)
- • New artifacts generated
- • Resolution criteria
Phase Transition Management
At each phase boundary:
- Boomerang Return: All completed tasks return structured JSON payload to orchestrator
- Manifest Update: Task status updated in
.roo/boomerang-state.json
- Dependency Check: Verify all required inputs for next phase are available
- Mode Assignment: Delegate next phase tasks to appropriate modes
Next Actions
- Update boomerang state with initialization completion →
state_001
- Begin observation phase task delegation →
delegate_001
- Establish monitoring for SCM triggers →
scm_001
- Create directory structure for upcoming phase outputs →
structure_001