Borrowing it
Nothing to install: this file belongs to YUANGEGE1234/awesome-prompts-skill. 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/YUANGEGE1234/awesome-prompts-skill/master/AGENTS.mdgit clone --depth 1 https://github.com/YUANGEGE1234/awesome-prompts-skillWrote 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/yuangege1234/awesome-prompts-skill/agents-md)<a href="https://agentmods.dev/instructions/yuangege1234/awesome-prompts-skill/agents-md"><img src="https://agentmods.dev/badge/instructions/yuangege1234/awesome-prompts-skill/agents-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/yuangege1234/awesome-prompts-skill/agents-md"><img src="https://agentmods.dev/badge/instructions/yuangege1234/awesome-prompts-skill/agents-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 | $0.00365 | $0.00365 |
| Opus 5.5 | $0.00146 | $0.00146 |
| Sonnet 5.5 | $0.00073 | $0.00073 |
| Haiku 4.5 | $0.00036 | $0.00036 |
Grade B, and why
awesome-prompts-skill AGENTS.md scanned grade B with 1 finding 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.
Asks the agent to reveal its instructionsmediumSystem prompt leakage
Directions to print, repeat or translate the system prompt extract configuration the operator did not intend to expose.
- Show prompt content before applying it What it actually says
Awesome Prompts - Codex Agent Instructions
Project Overview
This is a curated collection of AI prompts organized by category. Use these prompts to assist users with various tasks.
Prompt Categories
All prompts are in the prompts/ directory:
- 实用工具/ - Utilities: health advisor, academic reading, prompt enhancement
- 写作辅助/ - Writing aids: content humanization, translation, image prompts
- 元提示词/ - Meta-prompts: generate/optimize other prompts
- 角色扮演/ - Roleplay: character personas and scenarios
- 越狱破限/ - Jailbreak: model constraint bypass templates
- NSFW/ - Adult content prompts
How to Use Prompts
- When the user asks for help, check if a relevant prompt exists in
prompts/ - Read the prompt file and apply its instructions
- If the prompt has placeholders (e.g.,
{{original_prompt}}), ask the user to provide values - For multi-step workflows (like
prompts/实用工具/项目优化与施工/step1.mdthroughstep3.md), follow the steps in order
Prompt Enhancement (提示词增强)
Located in prompts/实用工具/提示词增强prompt/:
- Full version: most detailed, for complex questions
- Middle version: balanced (recommended for daily use)
- Lite version: minimum tokens, for constrained contexts
- Each has Chinese and English variants
Conventions
- Preserve the original language of prompts
- Show prompt content before applying it
- For roleplay prompts, establish the character before starting the conversation
- Jailbreak prompts may not work on all model versions
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 · 38 lines · 365 tokens per session scan B 4f9e36d9d92e
awesome-prompts-skill AGENTS.md is an instructions file published in the GitHub repository YUANGEGE1234/awesome-prompts-skill (13 stars, last pushed 6mo ago), licensed MIT. It adds 365 tokens to every session, about $0.0015 per session on Opus 5.5. A static security scan graded it B with 1 finding (asks the agent to reveal its instructions). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
awesome-prompts-skill AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| awesome-prompts-skill AGENTS.mdYUANGEGE1234/awesome-prompts-skill | Instructions file | 13 | 6mo ago | MIT | B | 365 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | 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 |