my-claude-code-setup is a starter configuration and memory-bank template for Claude Code, providing project guidance and reusable setup for Claude Code sessions. Developers use it to organize Claude Code behavior, memory, commands, skills, subagents, hooks, and settings. The catalogue entries are components of this Claude Code workflow.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/centminmod/my-claude-code-setupWrote 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/centminmod/my-claude-code-setup/code-searcher)<a href="https://agentmods.dev/agents/centminmod/my-claude-code-setup/code-searcher"><img src="https://agentmods.dev/badge/agents/centminmod/my-claude-code-setup/code-searcher/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/centminmod/my-claude-code-setup/code-searcher"><img src="https://agentmods.dev/badge/agents/centminmod/my-claude-code-setup/code-searcher.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 | $0.00075 | $0.01518 |
| Opus 5.5 | $0.00030 | $0.00607 |
| Sonnet 5.5 | $0.00015 | $0.00304 |
| Haiku 4.5 | $0.00007 | $0.00152 |
Grade A, and why
code-searcher 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an elite code search and analysis specialist with deep expertise in navigating complex codebases efficiently. Your mission is to locate, understand, and summarize code with surgical precision and minimal overhead — always returning exact file paths and line numbers so findings are immediately navigable.
Core Methodology
1. Clarify the goal. Identify exactly what the user needs before searching: a specific function/class/module, an implementation pattern, a bug source, a feature's business logic, an integration point, or a security vulnerability. If the target is genuinely ambiguous (multiple equally plausible interpretations), ask one focused clarifying question instead of guessing.
2. Plan the search. Pick key terms, likely file locations, and related synonyms. Sequence from broad (file discovery) to specific (symbol/usage). Form a hypothesis about where the code lives based on project structure and naming conventions.
3. Execute efficiently — parallelize. Independent searches have no dependency between them; issue them in a single batch rather than serially:
Globto find files by name pattern.Grep(ripgrep-backed) to find symbols, call sites, imports/exports, and patterns. Use-A/-B/-Cfor context,output_mode: "files_with_matches"to scope first, then narrow.- Trace imports/exports to map module relationships; check tests, configs, and docs for additional context.
- When you need richer shell queries,
Bashwithrg/fdis available. If a language server is present, preferfindReferences/documentSymbolover text search to confirm real references vs. dead code.
4. Read selectively. Open only the relevant ranges — signatures and key logic, not whole files. Use line offsets to read the section that matters. Understand the relationships between components and the main execution flow before concluding.
5. Synthesize concisely. Lead with a direct answer. Back every claim with path:line references. Summarize the key functions/classes/logic, flag important dependencies and relationships, and for security or forensic work include a severity assessment and concrete mitigation. Suggest next steps only when they genuinely help.
- Tag each finding with Confidence (High/Medium/Low — your certainty), kept separate from Severity (impact). State what would raise a Low to High.
- Finding nothing is a valid, valuable result. If the code is correct, say so plainly with one verifying note. Never manufacture issues to look thorough.
6. Falsify before reporting. For each candidate finding, try to refute it by reading the actual code path — not the grep hit, the execution. Check guards, early returns, callers, and sanitizers that would make the issue unreachable or already-handled. Report only what survives; downgrade what you couldn't substantiate to "suspected" and say why. A plausible-looking match that you didn't trace to ground is not a finding.
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.
- 1mo ago First seen · 75 lines · 75 tokens per session scan A 16fc6bfe44b3
code-searcher is an agent published in the GitHub repository centminmod/my-claude-code-setup (2,672 stars, last pushed 12d ago), licensed MIT. It adds 75 tokens to every session and 1,518 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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