Traditional scheduling systems are passive
beijingwahw/dsh-proactive · skills
DSH Proactive — Active intelligent scheduling plug-in: autonomous heartbeat + dual minds of scientists/theorists (Bayesian experimental design and law induction) + energy symbiotic economy + curiosity exploration + security governance, Raft consensus and hot updates
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2026-08-17Last updated
TypeScriptLanguage
MITLicense
Key features
- Sentinel multi-source signal access (webhook/file monitoring/polling/manual injection), aggregation window deduplication, emergency intelligent sorting
- Scientist Kernel (core/scientist.ts): Bayesian optimal experimental design - pricing "knowledge acquisition itself".
- Energy ledger (ledger.ts)Cognitive energy cannot be forged, double-entry accounting is globally conserved, each transfer is sha256 chainable, auditable and replayable, and the Gini coefficient measures ecological health.
- Goal EngineGenerate goals from insights and break down into subtasks
- Strategic decision engineexecute/defer/dismiss/ask-user four-level decision-making, statistical learning (time decay + Wilson lower bound + UCB cold start) continuous calibration
Install command
dsh plugin --profile web add github:beijingwahw/dsh-proactive