code-implementation

A coding workflow for implementing an existing feature or bug fix from a written plan, then adding unit tests and running integration tests.

In plain words
What is it for?
Use it to apply a planned feature or fix on a clean non-main Git branch, write unit tests, run integration tests, and record the result.
Why use it?
It keeps implementation tied to an agreed change and checks that the code works at both the small-component and combined-system levels.

Skill for Claude CodeCodex

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 skills/w693847022/memory_service/code-implementation
Any agent
npx skills add w693847022/memory_service --skill code-implementation
Clone the repo
git clone --depth 1 https://github.com/w693847022/memory_service

Made for: Claude Code, Codex.

Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,812 The whole file, excluding the scripts and references it only reads on demand.
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 $0.00032 $0.02812
Opus 5 $0.00016 $0.01406
Sonnet 5 $0.00006 $0.00562
Haiku 4.5 $0.00003 $0.00281

Measured yesterday against content hash 42c08637f58c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

code-implementation 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 yesterday.

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.

examples/skills/code-implementation/SKILL.md · 380 lines

How it starts

The opening of the file, as written. The whole thing — 380 lines — stays where its author put it; the contents beside it link to each section on GitHub.

代码实现与测试技能

参数规范

参数 说明 要求
item_id 已存在的 feature 或 fix ID 必需
--plan 直接提供完整修改方案(可选) 可选,不提供则从 memory_mcp 查询

参数规则:

  • 无参数时:拒绝执行
  • 仅提供 item_id:从 item_id 记录的 content 和关联 item 中获取完整修改方案
  • 提供 --plan:使用用户提供的方案,跳过 memory_mcp 查询

前置条件

必需前置条件

  • item_id 必须存在(features 或 fixes 分组)
  • 必须存在以下之一:
    • 方式1(推荐): item_id 记录的 content 或关联 item 中包含完整修改方案
    • 方式2: 用户通过 --plan 参数或交互式输入提供完整修改方案

Git 分支要求

  • 当前分支不能是 mainmaster
  • 分支必须是干净的(无未提交的更改)
  • 如果不满足,技能将拒绝执行并提示用户

完整修改方案格式要求

# <item_id> 实现方案

## 需求/问题描述
[完整的需求或 bug 描述]

## 代码修改计划
### 修改的文件列表
- `path/to/file1.ts`: 修改说明
- `path/to/file2.ts`: 修改说明

### 具体修改内容
[详细的代码修改方案,包括函数签名、逻辑变更等]

## 测试计划
### 单元测试
- [ ] 测试场景1: 描述
- [ ] 测试场景2: 描述

### 整合测试
- [ ] 测试场景1: 描述

⚠️ 重要指令

DO NOT ENTER PLAN MODE - 此技能要求直接执行实现方案,不进入计划模式

使用子代理处理 memory_mcp 和文件操作 - 以下操作通过 Agent 工具执行,减少主窗口上下文污染:

  • 所有 mcp__memory_mcp__* 工具调用
  • 所有文件操作:ReadEditWriteGlobGrep

循环计数 - 所有循环重试最多3次,超限后暂停并请求用户介入

提醒用户使用 auto 模式 - 技能开始时提醒用户可使用 auto 模式提高效率


初始化阶段

步骤 1: 参数验证与方案获取

  1. 验证 item_id 并获取记录

    • 使用子代理查询 memory_mcp,获取 item_id 的完整记录(features 或 fixes 分组)
    • 如果不存在,拒绝执行并提示
  2. 获取完整修改方案(按优先级尝试)

    方式1: 从 item_id 记录的 content 中获取

    • 检查 item_id 的 content 字段是否包含完整的修改方案
    • 如果包含,验证方案格式是否完整(包含代码修改计划和测试计划)

    方式2: 从关联 item 中获取

    • 如果 content 中没有完整方案,检查 related 字段
    • 遍历关联的 item_id,查询其 content
    • 查找包含完整修改方案的关联 item
    • 如果找到,使用该方案

    方式3: 使用用户提供的方案

    • 如果以上方式均未找到,检查是否提供了 --plan 参数
    • 使用用户提供的方案,验证格式完整性
  3. 方案获取失败处理

    • 如果所有方式都无法获取完整修改方案,拒绝执行并提示:
      错误: 无法获取完整修改方案
      请确保以下之一:
        1. item_id 的 content 包含完整修改方案
        2. 关联 item 的 content 包含完整修改方案
        3. 使用 --plan 参数提供方案
      

步骤 2: Git 分支检查

  1. 检查当前分支
    git branch --show-current
    
    • 如果是 mainmaster,拒绝执行并提示:
      错误: 当前在 main/master 分支上
      请先创建并切换到开发分支,例如:
        git checkout -b feature/<item_id>
        git checkout -b fix/<item_id>
      

Read the full file on GitHub · 380 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. yesterday First seen · 380 lines · 32 tokens per session scan A 42c08637f58c

Subscribe to this mod's changes

code-implementation is a skill published in the GitHub repository w693847022/memory_service (1 stars, last pushed 3mo ago), licensed MIT. It adds 32 tokens to every session and 2,812 once invoked, about $0.0002 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.

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