quick-ai CLAUDE.md

quick-ai CLAUDE.md is an instructions file for coding agents from wangjs-jacky/quick-ai. It costs 1,380 tokens per session, scanned A, original, MIT.

Project instructions for developing and releasing a VS Code extension that connects users to terminal and coding assistants.

In plain words
What is it for?
Use them when preparing a release, updating the change log, increasing the package version, or deploying the extension.
Why use it?
They define the release checklist and keep version numbers, change logs, and deployment steps consistent.

Instructions file

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add instructions/wangjs-jacky/quick-ai/claude-md
Clone the repo
git clone --depth 1 https://github.com/wangjs-jacky/quick-ai

Wrote this? Show the measurements

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README.md
[![agentmods](https://agentmods.dev/badge/instructions/wangjs-jacky/quick-ai/claude-md.svg)](https://agentmods.dev/instructions/wangjs-jacky/quick-ai/claude-md)
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Per session 1,380 This file is loaded in full into every session.
When invoked 1,380 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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 $0.01380 $0.01380
Opus 5 $0.00690 $0.00690
Sonnet 5 $0.00276 $0.00276
Haiku 4.5 $0.00138 $0.00138

Measured 4d ago against content hash 603ed66bb06d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

quick-ai 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 4d 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.

CLAUDE.md · 158 lines

How it starts

The opening of the file, as written. The whole thing — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md - Quick AI 项目

VS Code 扩展项目,提供快速访问 Warp 终端、Claude CLI 和 Opencode CLI 的功能。

发布流程

发布前必须完成

  1. 更新 CHANGELOG.md

    • 每次发布新版本前,必须更新 CHANGELOG.md
    • 通过 git log --oneline 查看自上次发布以来的提交记录
    • 按照以下格式添加新版本的变更日志:
    ## [版本号] - YYYY-MM-DD
    
    ### Added / Changed / Fixed / Removed
    
    - 变更描述
    
  2. 版本号管理

    • 在 package.json 中更新版本号
    • CHANGELOG.md 中的版本号与 package.json 保持一致
    • 在 CHANGELOG.md 底部添加版本对比链接

发布命令

# 1. 更新 package.json 版本号
# 2. 更新 CHANGELOG.md
# 3. 构建并发布
pnpm run deploy

OpenSpec 学习

以下内容用于学习 OpenSpec 理念。请 Claude 在协助时遵循渐进式引导原则。

项目背景

OpenSpec 是一种规范驱动的工作流方法,通过"先定义,后实现"的理念来提高软件开发的可预测性和质量。

核心理念

  1. Spec-Driven(规范驱动): 所有的变更都从编写规范开始
  2. Artifact Workflow(制品工作流): 通过一系列明确的制品(Proposal、Plan、Delta Spec 等)来推进变更
  3. Verification(验证): 实现完成后进行验证,确保与规范一致

项目结构

openspec/
├── config.yaml       # OpenSpec 配置文件
├── specs/            # 主规范目录(存放系统级别的规范)
├── changes/          # 变更目录(存放进行中的变更)
│   └── archive/      # 已归档的变更

学习路径(渐进式)

第一阶段:理解概念(当前阶段)

你当前处于这个阶段,目标是理解 OpenSpec 的核心概念:

已了解的概念:

  • ✅ OpenSpec 是规范驱动的工作流
  • ✅ 项目使用 spec-driven schema

下一步学习:

  • 📝 理解 OpenSpec 的核心术语
  • 📝 了解制品工作流的具体步骤
  • 📝 掌握如何创建第一个变更

第二阶段:创建第一个变更

学习使用 OpenSpec 技能来创建和管理变更:

  • 使用 /opsx:new/opsx:explore 开始探索
  • 创建 Proposal(提案)
  • 创建 Plan(计划)
  • 创建 Delta Spec(增量规范)

第三阶段:实施与验证

  • 使用 /opsx:apply 实施变更
  • 使用 /opsx:verify 验证实现
  • 使用 /opsx:archive 归档完成的变更

第四阶段:高级用法

  • 学习 /opsx:sync 同步规范
  • 批量归档变更
  • 自定义配置和规则

给 Claude 的指令

引导原则

  1. 渐进式学习: 不要一次性灌输所有概念,根据用户当前的学习阶段提供适量的信息
  2. 实践优先: 鼓励用户通过实际操作来学习,而不是只阅读理论
  3. 提问确认: 在进行下一步之前,确认用户已经理解当前概念
  4. 提供示例: 使用具体的示例来说明抽象概念

交互模式

当用户提出问题时:

  • 首先判断问题所属的学习阶段
  • 提供适合该阶段深度的解释
  • 询问是否需要更深入的说明或实践建议

当用户想要执行操作时:

  • 简要说明将要执行的操作及其目的
  • 执行操作后,解释结果和下一步选项
  • 询问用户是否理解或有其他问题

OpenSpec 核心术语速查

术语 说明
Change(变更) 一个功能、修复或改进的完整工作单元
Artifact(制品) 变更过程中产生的文档,如 Proposal、Plan、Spec
Proposal(提案) 描述"为什么"要做这个变更
Plan(计划) 描述"如何"实施这个变更的任务分解
Delta Spec(增量规范) 描述"做了什么"变更的详细规范
Spec(规范) 系统的完整规范文档
Archive(归档) 完成后保存变更记录

Read the full file on GitHub · 158 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. 4d ago First seen · 158 lines · 1,380 tokens per session scan A 603ed66bb06d

Subscribe to this mod's changes

quick-ai CLAUDE.md is an instructions file published in the GitHub repository wangjs-jacky/quick-ai (5 stars, last pushed 5mo ago), licensed MIT. It adds 1,380 tokens to every session, about $0.0069 per session on Opus 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 2026-08-31.