awesome-prompts-skill: Instructions file for Codex

AGENTS.md

awesome-prompts-skill AGENTS.md is an instructions file for Codex, OpenCode from YUANGEGE1234/awesome-prompts-skill. It costs 365 tokens per session, scanned B, original, MIT.

A collection of reusable instructions for an AI coding agent, covering prompt selection, prompt improvement, writing help, roleplay, and other prompt categories.

In plain words
What is it for?
It helps the agent find and use prompts from a repository, fill in missing placeholders, follow prompt workflows, and choose full, medium, or lightweight prompt-enhancement versions.
Why use it?
It removes the need to search manually for a suitable prompt or decide how to apply multi-step prompt instructions.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions Codex.

This is YUANGEGE1234/awesome-prompts-skill's own configuration. It tells Codex and OpenCode how to work on awesome-prompts-skill itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything awesome-prompts-skill configures →

Reuse

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.

Copy the file
curl -O https://raw.githubusercontent.com/YUANGEGE1234/awesome-prompts-skill/master/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/YUANGEGE1234/awesome-prompts-skill

Made for: Codex, OpenCode.

Wrote 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.

agentmods badge for awesome-prompts-skill AGENTS.md

README.md
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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.

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<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>
Per session 365 This file is loaded in full into every session.
When invoked 365 The same file — it is already loaded in full.
Security scan B 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00365 $0.00365
Opus 5 $0.00182 $0.00182
Sonnet 5 $0.00073 $0.00073
Haiku 4.5 $0.00036 $0.00036

Measured 12d ago against content hash 4f9e36d9d92e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

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 12d 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
AGENTS.md · 38 lines

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

  1. When the user asks for help, check if a relevant prompt exists in prompts/
  2. Read the prompt file and apply its instructions
  3. If the prompt has placeholders (e.g., {{original_prompt}}), ask the user to provide values
  4. For multi-step workflows (like prompts/实用工具/项目优化与施工/step1.md through step3.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
Changes

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.

  1. 12d ago First seen · 38 lines · 365 tokens per session scan B 4f9e36d9d92e

Subscribe to this mod's changes

awesome-prompts-skill AGENTS.md is an instructions file published in the GitHub repository YUANGEGE1234/awesome-prompts-skill (11 stars, last pushed 4mo ago), licensed MIT. It adds 365 tokens to every session, about $0.0018 per session on Opus 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.

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