Mgrep Code Search

What it does

When your agent uses it

• Tasks that involve Codebase onboarding

Example prompts

• “/mgrep-code-search”

Requirements

• Node.js

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

1. 1Start watcher (once per session or when files change significantly)
2. 2Search semantically
3. 3Refine as needed using path constraints or options

What it can do on your machine

Read from SKILL.md and the folder at commit 9b0e00a. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  Shell commands in SKILL.md call:

  • bunx

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  No URLs in SKILL.md. Its commands use bunx, which can reach the network depending on how they are called.

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names no API keys, tokens, secrets or passwords.

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Mgrep Code Search loads about 871 tokens when it runs. Until then it costs about 97 tokens; SKILL.md has 257 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~97

When it runs · the whole SKILL.md, loaded when a task matches

~871

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from intellectronica/agent-skills at commit 9b0e00a, republished under its CC0-1.0 licence (© intellectronica). 257 words, ~871 tokens.

name

mgrep-code-search

description

Semantic code search using mgrep for efficient codebase exploration. This skill should be used when searching or exploring codebases with more than 30 non-gitignored files and/or nested directory structures. It provides natural language semantic search that complements traditional grep/ripgrep for finding features, understanding intent, and exploring unfamiliar code.

bunx @mixedbread/mgrep watch

bunx @mixedbread/mgrep "your natural language query" [path]

bunx @mixedbread/mgrep "where is authentication configured?"
bunx @mixedbread/mgrep "how do we handle errors in API calls?" src/
bunx @mixedbread/mgrep "database connection setup" src/lib

# Get more results
bunx @mixedbread/mgrep -m 25 "user authentication flow"

# Show full content of matches
bunx @mixedbread/mgrep -c "error handling patterns"

# Get an AI-synthesised answer
bunx @mixedbread/mgrep -a "how does the caching layer work?"

# Sync index before searching
bunx @mixedbread/mgrep -s "payment processing" src/services

© intellectronica, CC0-1.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/mgrep-code-search of intellectronica/agent-skills.

Open the folder on GitHubat commit 9b0e00a

Used in 1 other repository

We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in intellectronica/agent-skills, which our catalogue first saw on October 7, 2026.

• tmcfarlane/oh-my-cursorskills/mgrep-code-search