rg-budget-search

SkillSearch

In large or many-file projects, prefer cxs over raw rg/grep to reduce context waste.

Use rg-budget-search in Claude, ChatGPT or Ahel Desktop

Free. Sign in, add rg-budget-search and connect your AI. About a minute.

Also: Claude Code · Cursor · Codex

Then ask your AI: use the rg-budget-search skill

Details

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

rg-budget-searchStart free

What this skill tells your AI

The instructions your AI receives, as published by hashgraph-online/awesome-codex-plugins in plugins/Rycen7822/codex-rg-guard/skills/rg-budget-search/SKILL.md and read by ahel’s review.

In large or many-file projects, use MCP cxs(op,args) or CLI cxs before raw rg/grep.

Default flow: find(files_only:true) to identify candidate files, find(paths=[...]) to locate bounded line hits, then use Codex-native reads for the exact file or span.

Use --path or paths for concrete files/directories. Use --scope or scopes only for presets: docs, src, tests, config, analysis, runs, vendor, all.

For small projects, known files, or narrow checks, normal file reads/direct shell tools are fine. If output is truncated, refine query/scope/path or continue files-only pagination with next_page.offset.

Signals

GitHub stars
1k
Forks
316
Last commit
Oct 2026
Advanced
Item type
skill
Key
rg-budget-search
Source
github.com/hashgraph-online/awesome-codex-plugins
rg-budget-search skill for Claude, ChatGPT and Ahel Desktop