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@orqenix/self-learning-detection

v0.10.0

Published

Apache-2.0 basic instinct detection for Orqenix. Sequence + frequency + outcome correlation G�� candidates.

Vulnerabilities

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Links

Git

Maintainers

milosaysyolomilosaysyolo

Keywords

orqenixself-learningdetectionapache-2.0

Readme

@orqenix/self-learning-detection

Apache-2.0 basic instinct detection for Orqenix. Phase 8 (D8.γ). Charter gate G67 (Observer + Detection, 14 sub-criteria).

Mission

Scans observation events to detect recurring workflow patterns worth promoting to reusable skills. This is the BASIC (OSS) detection. Advanced algorithms (semantic clustering, A/B comparison, time-savings) ship in @orqenix-pro/self-learning-advanced (Pro).

Algorithms (basic OSS)

| Algorithm | Description | | ------------------- | -------------------------------------------- | | Sequence detection | Identifies recurring N-action sequences | | Frequency threshold | Minimum 5 occurrences (configurable) | | Outcome correlation | Filters by success rate (≥80%, configurable) |

Promotion thresholds (configurable per CR v8.0)

  • min_occurrences: 5
  • min_success_rate: 0.80
  • cooldown_hours: 24 (avoid re-surfacing same pattern)

Impact score

impact_score = frequency × success_rate × estimated_time_saved

Candidates are ranked by impact score in the Promoter UI.

Output

instinct_candidates table rows (status='detected') ready for human review.

License

Apache-2.0 , see ./LICENSE