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Dragan Spiridonov
a454889099
- Backup-verified cleanup of .agentic-qe/memory.db: 200/200 degenerate mincut_snapshots rows, 501/501 degenerate mincut_history rows, 530/530 test-fixture execution_results rows, 705/705 test-fixture executed_steps rows (all confirmed 100% junk before deleting); corrected 72 dream_insights.applied rows corrupted by the now-fixed counter bug back to the correct boolean value. Full backup + before/after row counts + integrity check per data-protection policy. - Fixed 4 unused-vars lint errors in goap-planner.ts/goap-execute.ts (2 pre-existing + 1 that surfaced after removing the first + 1 in goap-execute.ts). Left two genuinely unimplemented stub params (updateActionStats duration tracking, findSimilarPlan fuzzy matching) honestly marked rather than scope-expanded. - Filed proffesor-for-testing/agentic-qe#554 to track everything from the system-integrity remediation that's deliberately deferred, so it isn't silently dropped. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Implementation Plans
This directory contains GOAP-style implementation plans for major AQE features.
Active Plans
Skill Validation: Trust But Verify
Status: Planning Priority: High Estimated Effort: 214 hours across 5 phases
Implements a 4-layer validation system for AQE skills:
Level 3: Evaluation Suite (measure behavior)
Level 2: Executable Validator (verify output)
Level 1: JSON Schema (structure output)
Level 0: SKILL.md Instructions (guide intent)
Key Deliverables:
- Trust tier frontmatter extension for SKILL.md
- JSON output schemas for all P0 skills
- Executable validators with graceful degradation
- YAML-based evaluation test suites
- CI/CD workflow for multi-model validation
- ReasoningBank integration for learning
Related Resources:
- Schemas:
/docs/schemas/ - Templates:
/docs/templates/ - Exemplars:
.claude/skills/testability-scoring/,.claude/skills/brutal-honesty-review/
Plan Structure
Each plan follows the SPARC-GOAP methodology:
- Specification: Define goal state and success criteria
- Pseudocode: Plan action sequences and state transitions
- Architecture: Structure solution components
- Refinement: TDD implementation with iteration
- Completion: Integration, validation, deployment
Milestone Template
Milestone X.Y: Name
Description: What this milestone achieves
Complexity: Low/Medium/High
Estimated Hours: N
Agent Assignment: qe-agent-name
Dependencies: [milestone IDs]
Parallel Opportunity: Yes/No
Deliverables:
- path/to/deliverable
Success Criteria:
- [ ] Measurable outcome
Memory Namespaces
Plans define memory namespaces for pattern learning:
aqe/{feature}/
├── patterns/ - Learned patterns
├── outcomes/ - Execution outcomes
├── metrics/ - Performance metrics
└── trends/ - Historical trends
Creating New Plans
- Copy the structure from an existing plan
- Define clear goal state vs current state
- Break into SPARC phases with milestones
- Assign agents and estimate complexity
- Map dependencies and parallel opportunities
- Define success criteria for each milestone
- Add to this README