GPT-Prompt-Hub is a community repository that collects and refines structured prompts for large language models such as Claude, GPT, and Gemini. It is for engineers, founders, researchers, students, marketers, and other people using AI for coding, writing, planning, and analysis. The catalogue instruction is one example of the repository’s prompt resources.
Borrowing it
Nothing to install: this file belongs to LichAmnesia/GPT-Prompt-Hub. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/LichAmnesia/GPT-Prompt-Hub/main/CLAUDE.mdgit clone --depth 1 https://github.com/LichAmnesia/GPT-Prompt-HubWrote 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/instructions/lichamnesia/gpt-prompt-hub/claude-md)<a href="https://agentmods.dev/instructions/lichamnesia/gpt-prompt-hub/claude-md"><img src="https://agentmods.dev/badge/instructions/lichamnesia/gpt-prompt-hub/claude-md/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/instructions/lichamnesia/gpt-prompt-hub/claude-md"><img src="https://agentmods.dev/badge/instructions/lichamnesia/gpt-prompt-hub/claude-md.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 | $0.01312 | $0.01312 |
| Opus 5.5 | $0.00525 | $0.00525 |
| Sonnet 5.5 | $0.00262 | $0.00262 |
| Haiku 4.5 | $0.00131 | $0.00131 |
Grade A, and why
GPT-Prompt-Hub CLAUDE.md 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 2mo 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 — 173 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Repository Structure
This repo is a curated hub of 222 prompts for Claude/GPT/Gemini, organized under prompts/ by category:
prompts/business/(25) — strategy, PRDs, venture plans, unit economicsprompts/career/(15) — resume, cover letter, ATS, interview prepprompts/creative/(25) — music, visual, games, multimediaprompts/engineering/(25) — code review, architecture, simulatorsprompts/health-life/(7) — CBT, clinical reasoning, wellness (non-diagnostic)prompts/learning/(25) — tutoring, language coaching, mock interviewsprompts/marketing-seo/(25) — paid media, SEO, landing pages, brandprompts/productivity/(25) — PRDs, planning, PR review, app specsprompts/research/(25) — literature review, market analysis, paper readingprompts/writing/(25) — editing, translation, long-form, screenplayprompts/legacy/(4) — original 2024 custom GPTs, kept for historical record
Each prompt file uses frontmatter (title, category, tags, model, use_case) and a structured body (Role / Objective / Inputs / Output / Constraints / Example). Do not edit prompts without updating frontmatter. Root README.md is the source of truth for the full catalog; each category has its own README.md as a per-folder TOC.
_analysis/popular-patterns.md holds the strategy analysis behind the 222-prompt curation — read before adding new prompts.
Development Guidelines
Philosophy
Core Beliefs
- Incremental progress over big bangs - Small changes that compile and pass tests
- Learning from existing code - Study and plan before implementing
- Pragmatic over dogmatic - Adapt to project reality
- Clear intent over clever code - Be boring and obvious
Simplicity Means
- Single responsibility per function/class
- Avoid premature abstractions
- No clever tricks - choose the boring solution
- If you need to explain it, it's too complex
Process
1. Planning & Staging
Break complex work into 3-5 stages. Document in IMPLEMENTATION_PLAN.md:
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.
- 2mo ago First seen · 173 lines · 1,312 tokens per session scan A ceccf7d623a3
GPT-Prompt-Hub CLAUDE.md is an instructions file published in the GitHub repository LichAmnesia/GPT-Prompt-Hub (2,391 stars, last pushed 6mo ago), licensed MIT. It adds 1,312 tokens to every session, about $0.0052 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.
GPT-Prompt-Hub CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| GPT-Prompt-Hub CLAUDE.mdLichAmnesia/GPT-Prompt-Hub | Instructions file | 2.4k | 6mo ago | MIT | A | 1,312 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |