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Add compounded — correction-learning plugin with a trust ladder

@ankitkr3checks n/achecks…add-compounded → master1 files · +1 −0updated 1d ago

▸Description

Adds compounded under Developer Productivity.

What it does: learns from your corrections. When you correct Claude and it does corrective work, a Stop hook captures the lesson, Claude extracts the generalizable rule, and asks you to approve it before saving. Approved rules inject at every session start, and earn autonomy through a trust ladder — verified → trusted → autonomous, with one correction demoting one level.

Per the contribution guidelines:

Real use case: stop re-explaining the same corrections every session ("when I ask for the latest model, web-search first").
No duplication: memory plugins (claude-mem etc.) capture and recall; compounded adds the governance layer — approval-gated capture and earned/revocable autonomy. Different problem.
Quality: 55 unit tests, CI on Linux/macOS across Python 3.9–3.12, Python stdlib only, no daemon, 100% local. MIT.

Install: /plugin marketplace add ankitkr3/compounded-marketplace → /plugin install compounded@compounded-marketplace

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