full-stack-skills: Instructions file for Codex

AGENTS.md

full-stack-skills AGENTS.md is an instructions file for Codex, OpenCode from partme-ai/full-stack-skills. It costs 1,031 tokens per session, scanned A, original, Apache-2.0.

Project instructions for working in the full-stack-skills code repository. They describe its files, layout, naming rules, and how to add a new skill.

In plain words
What is it for?
Use them when inspecting this repository, creating skills, or deciding where files belong and how they should be named.
Why use it?
They give coding agents the project-specific rules they need, reducing guesswork and inconsistent changes.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: reads .claude/ paths; mentions Claude Code; mentions AGENTS.md.

This is partme-ai/full-stack-skills's own configuration. It tells Codex and OpenCode how to work on full-stack-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 full-stack-skills configures →

Reuse

Borrowing it

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

Made for: Codex, OpenCode.

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Per session 1,031 This file is loaded in full into every session.
When invoked 1,031 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 $0.01031 $0.01031
Opus 5.5 $0.00412 $0.00412
Sonnet 5.5 $0.00206 $0.00206
Haiku 4.5 $0.00103 $0.00103

Measured 1mo ago against content hash abd11461befe, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

full-stack-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 · 117 lines

How it starts

The opening of the file, as written. The whole thing — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

本文档为 AI 编码智能体(Claude Code、Cursor、Copilot 等)在本仓库中工作时提供指导。

仓库概览

面向 Claude.ai 与 Claude Code 的一组技能集合,用于处理与 Vercel 部署相关的工作。技能是经过打包的说明与脚本,用于扩展 Claude 的能力。

本仓库为全链路阶段映射与基础技能的主入口;关联 t2ui-skills、stitch-skills、pencil-skills、tauri-skills 等。阶段与技能映射见 docs/pipeline-stage-to-skills.md,生态总览见 docs/skills-ecosystem.md。已整合 Spec Kit(speckit-*)技能,见 docs/speckit-agent-skills.md。

创建新技能

目录结构

本仓库技能路径为 skills/<组目录>/<技能名>/(例如 skills/vue-skills/vue3/、skills/threejs-skills/threejs-animation/),与 marketplace.json 中 skills[] 路径一致。

skills/
  <group>-skills/         # 组目录,如 vue-skills、tauri-skills、document-skills
    {skill-name}/         # kebab-case,与 SKILL.md frontmatter name 一致
      SKILL.md            # 必需
      examples/           # 可选
      references/         # 可选
      scripts/            # 可选

命名规范

  • 技能目录:kebab-case(例如 vercel-deploy、log-monitor)
  • SKILL.md:始终使用全大写,且文件名必须严格为 SKILL.md
  • 脚本:kebab-case.sh(例如 deploy.sh、fetch-logs.sh)
  • Zip 文件:必须与目录名严格一致:{skill-name}.zip

SKILL.md 格式

---
name: {skill-name}
description: {One sentence describing when to use this skill. Include trigger phrases like "Deploy my app", "Check logs", etc.}
---

# {Skill Title}

{Brief description of what the skill does.}

## How It Works

{Numbered list explaining the skill's workflow}

## Usage

```bash
bash /mnt/skills/user/{skill-name}/scripts/{script}.sh [args]

Arguments:

  • arg1 - Description (defaults to X)

Examples: {Show 2-3 common usage patterns}

Output

{Show example output users will see}

Present Results to User

{Template for how Claude should format results when presenting to users}

Troubleshooting

{Common issues and solutions, especially network/permissions errors}


### 上下文效率最佳实践

技能按需加载——启动时只加载技能名称与描述。只有当智能体判断某个技能相关时,完整的 `SKILL.md` 才会进入上下文。为减少上下文占用:

- **将 SKILL.md 控制在 500 行以内**——详细参考资料放在单独文件中
- **描述写得具体**——帮助智能体准确判断何时激活技能
- **渐进式披露**——引用支撑文件,仅在需要时再读取
- **优先用脚本而不是内联代码**——执行脚本不会占用上下文(只有输出会占用)
- **文件引用只支持一层深度**——从 SKILL.md 直接链接到支撑文件

Read the full file on GitHub · 117 lines

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 · 117 lines · 1,031 tokens per session scan A abd11461befe

Subscribe to this mod's changes

full-stack-skills AGENTS.md is an instructions file published in the GitHub repository partme-ai/full-stack-skills (715 stars, last pushed 22d ago), licensed Apache-2.0. It adds 1,031 tokens to every session, about $0.0041 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.

Related

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