shuohao-skills: Instructions file for Codex

AGENTS.md

shuohao-skills AGENTS.md is an instructions file for Codex, OpenCode from eternityspring/shuohao-skills. It costs 397 tokens per session, scanned A, original, Apache-2.0.

A set of repository instructions for coding agents working on shuohao-skills. It defines writing rules, self-contained skills, sample-data practices, and which generated files stay out of version control.

In plain words
What is it for?
It is for guiding edits to skills, Chinese wording, sample data, rendered reports, and failure-tracking files in this repository.
Why use it?
It gives an agent project-specific rules that may not be obvious from the code alone. This helps keep changes consistent and avoids copying invalid examples or generated output into the repository.

Instructions file for CodexOpenCode

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

This is eternityspring/shuohao-skills's own configuration. It tells Codex and OpenCode how to work on shuohao-skills 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 shuohao-skills configures →

About the project

shuohao-skills is a collection of agent skills for turning a novel into production materials for an AI short-drama pipeline, including character profiles, outlines, art references, scripts, and storyboards. It is for creators using Claude Code or Codex to plan and prepare AI-generated short videos. The catalogue add-ons implement the separate stages of this workflow and can also assemble their reports.

eternityspring/shuohao-skills · 5,046 stars · on GitHub · studio.reelbenchai.com

Reuse

Borrowing it

Nothing to install: this file belongs to eternityspring/shuohao-skills. 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/eternityspring/shuohao-skills/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/eternityspring/shuohao-skills

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 shuohao-skills AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/eternityspring/shuohao-skills/agents-md/github.svg)](https://agentmods.dev/instructions/eternityspring/shuohao-skills/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/eternityspring/shuohao-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/eternityspring/shuohao-skills/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.

agentmods 80×15 button for shuohao-skills AGENTS.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/eternityspring/shuohao-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/eternityspring/shuohao-skills/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 397 This file is loaded in full into every session.
When invoked 397 The same file — it is already loaded in full.
Security scan A 0 findings. 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 $0.00397 $0.00397
Opus 5.5 $0.00159 $0.00159
Sonnet 5.5 $0.00079 $0.00079
Haiku 4.5 $0.00040 $0.00040

Measured 1mo ago against content hash 508c9d4b622d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

shuohao-skills AGENTS.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 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.

AGENTS.md · 11 lines

What it actually says

AGENTS.md

行为规则

  • 中文文案(README、SKILL.md、报告界面标签)不用单字词:「保留/砍掉/合并」不写成「保/砍/合」,「安装」不写成「装」,「使用」不写成「用」。章节标题同样适用。
  • skill 必须自包含、可单独拷走:不依赖任何第三方 skill(包括官方 skill)。外部方法论学习后内化成本仓库自己的 references 文档,注明学习来源。
  • 样例数据先定故事,再定分镜。 反过来做会把自己焊死:画面一旦写实(「桌上摆着一封信,父亲按着不给」),之后每次「换故事」都只是给同一个动作换一个动机,三版听起来是同一版。故事没定之前不要写分镜、更不要出图。
  • 每个 skill 的样例数据必须是它自己的,不借用兄弟 skill 的样例。借来的样例既是断链(skill 要能整个拷走),也只能展示别人那一种题材。
  • 渲染产物(gallery.html、*-report.html)不进版本控制,它们每次 render 都能重新生成。
  • 门失败累积(.gates.jsonl + stats)目前只在 novel-storyboard 上。 这是有意的:先在真实项目里用一段时间,确认 stats 出来的东西真的指向了该改的规则,再决定要不要推广到其余五个。如果长期没人打开它,说明这个功能不该做,推广只会把错误复制五份。 不要主动再提推广。
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. 1mo ago First seen · 11 lines · 397 tokens per session scan A 508c9d4b622d

Subscribe to this mod's changes

shuohao-skills AGENTS.md is an instructions file published in the GitHub repository eternityspring/shuohao-skills (5,046 stars, last pushed yesterday), licensed Apache-2.0. It adds 397 tokens to every session, about $0.0016 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 2026-09-25.

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