deepsearch

deepsearch is a Codebase mapping & onboarding skill for AI agents, published by MeroZemory in the oh-my-droid repository on GitHub. Skillspace rates deepsearch D (68/100) and it passed the safety scan; the rating is based on static analysis only.

Exhaustive multi-strategy codebase search using grep, ripgrep, find, and AST-aware tracing to locate implementations, references, dependencies, and usage patterns for a given symbol, pattern, or concept. Use when you need to find every occurrence of a function, type, config key, or concept across a project — especially when simple text search misses indirect references, re-exports, or dynamic usage.

Grade
D
Quality
68 / 100
Safety
Passed
GitHub stars
25

Unproven: rated by static analysis only, not yet compared head-to-head.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

Our review

Architecture
100 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections

Not checked yet

  • Category is a classifier prediction; no model has read this skill yet
  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.