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Integration proposal: zhiyin-lite as runtime quality layer for generated Skills #1

@konghuihua

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@konghuihua

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Proposal: zhiyin-lite as the runtime quality layer for Agent Skills

First — great project. The 7-phase pipeline for auto-generating production-ready Skills is exactly what the AI Agent ecosystem needs.

The gap

SkillAnything makes Agents capable of doing more. Every Skill you generate expands what the Agent can accomplish.

But there's an unsolved problem: Agents degrade during long tasks. Context inflation → attention dilution → repeated errors → skipped checks → trial-and-error loops. The more Skills an Agent has, the more likely it runs into this.

What zhiyin-lite brings

I built zhiyin-lite — a lightweight runtime quality layer:

  • StateMachine — per-task-phase tool allowlists
  • DriftSentinel — scans for 3 decay patterns each turn
  • ToolConstraintChecker — intercepts every tool call

3 modules, MIT, 500 lines Python, zero deps.

Integration

When packaging a Skill (Phase 7), optionally generate a state machine config that defines safe tool boundaries. Agent loads both Skill + constraint — capable AND safe.

Results

Production 20+1 module system: flywheel health 0.733 → 0.983 (+34%), recovery 0 → 100%.

Happy to PR or co-write a blog. The two projects are perfectly complementary.

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