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Claude Code

Autoharness: a self-learning skill layer for Claude Code

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Tigerless Labs released autoharness, a plug-in for Claude Code that learns skills directly from your active sessions. Each episode converts into a skill without manual data collection, and similar scenarios merge into one to prevent the accumulation of near-duplicates.

On the CORE-Bench (HAL) benchmark, the same model with autoharness scores 78% compared to 42% without it. A skill remains in the active layer if it is used in subsequent turns and is archived if it stops being called. The plug-in only modifies skills it created itself.

autoharness is written in Python with no external dependencies and runs without a resident daemon. Install it via /plugin marketplace add tigerless-labs/autoharness. It is licensed under MIT.

Anthropic

Researcher identifies hidden tracking in Claude Code

Claude Code version 2.1.91 includes a hidden check for Chinese proxies. It flags users via steganography in the system prompt, toggling date formats and Unicode apostrophes based on time zones or proxy domains. The logic is XOR-obfuscated with key 91 and absent from release notes, likely to track model distillation and unauthorized reselling.

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