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memory-search

An AI agent skill from XiaomiMiMo/MiMo-Code, scored 58 out of 100 by code.

58/ 100C

Code score by group

  • Spec20/20
  • Description12/20
  • Procedure0/15
  • Done criteria4/15
  • Resources10/10
  • Scripts2/8
  • Safety7/7
  • Upkeep3/5

It loses the most points in Procedure (15), the group that checks whether the steps are numbered, read the context first and say what to do when something fails.

What the author says it does

Query the raw trajectory SQLite database directly when the built-in memory and history tools are insufficient. Use when you need structured analysis across sessions: finding repeated errors, grouping tool calls by pattern, verifying what was actually executed, or locating specific past commands/decisions that text search cannot surface. Provides the database schema, ready-to-use SQL query templates, and per-goal strategies.

This is the description in the skill's own SKILL.md, written by its author, not by SkillCheatSheet.

Repository
XiaomiMiMo/MiMo-Code
Folder
packages/cli/src/skill/builtin/.bundle/memory-search
License
MIT
GitHub stars
13,781
SKILL.md lines
166
Other files
0

Add memory-search to your agent

npx skills add XiaomiMiMo/MiMo-Code --skill memory-search

The command uses the open skills CLI. A skill is instructions and scripts your agent will follow, so read it first: open the folder on GitHub at the commit that was scored.

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All skills in XiaomiMiMo/MiMo-Code

Scores come from a snapshot of 300 public GitHub repositories taken on 12 November 2026. Every score is the result of fixed checks run by code; no AI is involved. How scoring works.