retrieval-stinger

retrieval-stinger is a Memory stores & recall skill for AI agents, published by legioncodeinc in the that-git-life repository on GitHub. Skillspace rates retrieval-stinger B (80/100) and it passed the safety scan; the rating is based on static analysis only.

The retrieval and codify pipeline for Hivemind - hybrid lexical+semantic recall over the Deep Lake `memory` and `sessions` tables, the skillify loop that turns sessions into SKILL.md provenance rows, and skill propagation across the team. Covers the `grep-core.ts` UNION ALL recall query, the `<#>` cosine path vs the BM25/ILIKE silent fallback, hybrid weighting (`deeplake_hybrid_record`), the `grep-direct.ts` fast path, the Haiku KEEP/MERGE/SKIP skillify gate, skill-writer provenance, pull/auto-pull propagation, the tree-sitter codebase graph, and recall/skillify quality evaluation. Use when the user says "tune recall", "why did this query miss", "semantic vs lexical here", "audit the skillify gate", "a bad skill got mined", "fix propagation", "recall is noisy", "score retrieval quality", or when `retrieval-worker-bee` is invoked. Do NOT use for the embedding daemon/model itself (embeddings-runtime-worker-bee), the Deep Lake table schema/DDL (deeplake-dataset-worker-bee),…

Grade

B

Quality

80 / 100

Safety

Passed

GitHub stars

72

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