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Aleph Skill v1.1.0

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@d-init-d d-init-d released this 01 Jul 19:17

Aleph Skill v1.1.0

This release hardens causal simulation quality and makes human-node separation auditable.

Highlights

  • Schema 1.1 with cross-artifact ID integrity.
  • Mandatory distinct Human Research and Human Roleplay subagents when the runtime exposes subagent tooling.
  • Auditable human-track ledger with timestamps, agent references, knowledge cutoffs, and normalized hypotheses.
  • Quick, standard, and deep execution profiles with immutable source and repair-loop budgets.
  • Direct-source, source-tier, contradiction, confidence, and search-snippet quality gates.
  • Strict final report validation and a 100-point quality evaluator.
  • Ten validator regression tests covering common failure and gaming modes.

Forward-test evidence

Baseline workflows were exercised with DeepSeek V4 Flash, GLM 5.2, Kimi K2.7 Code, and MiniMax M3 through Ollama Cloud, plus Qwen 3.7 Max through Cline Pass. The final upgraded DeepSeek regression produced separate research/roleplay subagents, passed independent validation with zero errors and warnings, and scored 98.75/100. Later provider calls for several models stalled or queued after initialization; those runs are treated as provider limitations rather than successful regressions.