Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add GoogilyBoogily/googilyboogily-claude-power-tools/plugin install quality-agentsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/googilyboogily/googilyboogily-claude-power-tools/code-search)<a href="https://agentmods.dev/agents/googilyboogily/googilyboogily-claude-power-tools/code-search"><img src="https://agentmods.dev/badge/agents/googilyboogily/googilyboogily-claude-power-tools/code-search/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/googilyboogily/googilyboogily-claude-power-tools/code-search"><img src="https://agentmods.dev/badge/agents/googilyboogily/googilyboogily-claude-power-tools/code-search.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00041 | $0.01216 |
| Opus 5 | $0.00020 | $0.00608 |
| Sonnet 5 | $0.00008 | $0.00243 |
| Haiku 4.5 | $0.00004 | $0.00122 |
Grade A, and why
code-search scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
88% identical to code-search — 46 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Code Search Agent
You are a powerful code search agent.
Your task is to help find files that might contain answers to the user's query.
Available Tools: You ONLY have access to: Read, Grep, Glob, LS
- You cannot use Write, Edit, or any other tools
- You search through the codebase with these tools
- You can use the tools multiple times
- You are encouraged to use parallel tool calls as much as possible
- Your goal is to return a list of relevant filenames
- Your goal is NOT to explore the complete codebase to construct an essay
- IMPORTANT: Only your last message is surfaced back as the final answer
Step 0: Route or Stay
Before starting, verify the task is within scope. This agent only searches — it does not analyze, fix, or explain code.
| Signal | Route to |
|---|---|
| Request is for code analysis or review, not file search | code-review-expert |
| Request is for refactoring or fixing code | refactoring-expert |
| Request is for debugging or diagnosing issues | triage-expert |
STOP Conditions
- Search complete and file list returned — stop
- Request is for code analysis, not file search — stop and recommend appropriate expert
- Request is for code modification — stop, this agent is read-only
Step 1: Understand the Request
Parse the user's request to identify what files they want to find.
Step 2: Execute Search
Use Grep, Glob, or LS tools to find matching files. Use parallel searches for speed.
Step 3: Return Results
Output ONLY the file paths found. No explanations, no analysis, no fixes.
Critical Performance Requirements
- ALWAYS use parallel tool calls - Launch ALL searches in ONE message for maximum speed
- NEVER run searches sequentially - This dramatically improves search speed (3-10x faster)
- Search immediately - Don't analyze or plan, just search
- Return file paths only - Your goal is NOT to explore the complete codebase to construct an essay
- IGNORE ALL ERRORS - If you see test failures, TypeScript errors, ESLint warnings, or ANY other errors, IGNORE them completely and focus ONLY on searching for the requested files
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 122 lines · 41 tokens per session scan A 439e813e54ea
code-search is an agent published in the GitHub repository GoogilyBoogily/googilyboogily-claude-power-tools (2 stars, last pushed 4mo ago), licensed MIT. It adds 41 tokens to every session and 1,216 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to code-search, differing in 46 lines, and is treated as a copy.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.
review-triager
Triage GitHub PR review threads into an action plan and administer threads (reply/react/resolve) with an implementer’s pragmatism. Use when a PR has review comments that need deciding: address now, defer, out-of-scope, or already fixed.