Instinct Status
Shows all learned instincts with their confidence scores, grouped by domain.
Implementation
Run the instinct CLI from your local skills directory:
bash
python3 ~/.claude/skills/continuous-learning-v2/scripts/instinct-cli.py status
Usage
code
/instinct-status /instinct-status --domain code-style /instinct-status --low-confidence
What to Do
- •Read all instinct files from
~/.claude/homunculus/instincts/personal/ - •Read inherited instincts from
~/.claude/homunculus/instincts/inherited/ - •Display them grouped by domain with confidence bars
Output Format
code
Instinct Status ================== ## Code Style (4 instincts) ### prefer-functional-style Trigger: when writing new functions Action: Use functional patterns over classes Confidence: xxxxxxxx-- 80% Source: session-observation | Last updated: 2025-01-22 ### use-path-aliases Trigger: when importing modules Action: Use @/ path aliases instead of relative imports Confidence: xxxxxx---- 60% Source: repo-analysis (github.com/acme/webapp) ## Testing (2 instincts) ### test-first-workflow Trigger: when adding new functionality Action: Write test first, then implementation Confidence: xxxxxxxxx- 90% Source: session-observation ## Workflow (3 instincts) ### grep-before-edit Trigger: when modifying code Action: Search with Grep, confirm with Read, then Edit Confidence: xxxxxxx--- 70% Source: session-observation --- Total: 9 instincts (4 personal, 5 inherited) Observer: Running (last analysis: 5 min ago)
Flags
- •
--domain <name>: Filter by domain (code-style, testing, git, etc.) - •
--low-confidence: Show only instincts with confidence < 0.5 - •
--high-confidence: Show only instincts with confidence >= 0.7 - •
--source <type>: Filter by source (session-observation, repo-analysis, inherited) - •
--json: Output as JSON for programmatic use