Token导航 LogoToken导航TokenDH.com
研究检索执行命令clawhub未标认证来源可访问clear审计通过

simple-code简单的代码

Agent Skill

simple-code 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

8,720

周安装

367

GitHub Stars

1

下载量

3,053
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:simple-code(简单的代码)
来源仓库:https://github.com/hyharry/simple-code
安装命令:
openclaw skills install simple-code
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install simple-code

简介

simple-code 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词快速定位候选结果时使用。

  • 适用于规划小型编码项目,支持开始、继续和审查三种可靠模式。
  • 通过 openclaw skills install 命令从 ClawHub 安装,需确认权限范围。
  • 建议在使用前检查维护状态及是否会触发命令执行或文件读写。
  • 适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。

SKILL.md

name
simple-code
description
Plan and build small, readable coding projects in three reliable modes: start, continue, and review. Think first, make a short plan, then delegate implementation/review/testing/bug-fixing/documentation/step-tracking to a coding sub-agent. Prefer the model openai-codex/gpt-5.3-codex by default. Use when the user asks for simple code, a small project, a self-contained utility, straightforward feature work, or a practical code review that should stay easy to read and easy to manage.

Simple Code

Overview

Use this skill for small coding work where readability, simplicity, and reliable progress matter more than cleverness.

This skill supports three explicit modes:

  • start — create a minimal new project and get the first working version running
  • continue — continue an existing project with new functionality, changed behavior, fixes, or focused improvements
  • review — review the current codebase, a current commit, or current changes, then optionally make targeted follow-up improvements

For all three modes, the default expectation is the same:

  • think first
  • make a short plan
  • do the real work in the project folder
  • test and verify what is feasible
  • add or update minimal documentation when needed
  • record the work in .steps/
  • report clearly what changed and what was verified

Reliable Triggering

When the user wants to invoke this skill explicitly, they should be able to do it reliably by appending a mode option and a concrete request.

Preferred explicit trigger patterns:

  • simple-code start: <request>
  • simple-code continue: <request>
  • simple-code review: <request>

Also accept slash-command style requests with appended options/details, for example:

  • /simple-code start build a tiny local markdown preview tool
  • /simple-code continue add CSV export and improve error handling
  • /simple-code review review current project and fix obvious structural issues
  • /simple-code review current commit only
  • /simple-code review working tree changes and patch if needed

When the mode is explicit, follow it.

When the mode is not explicit, infer it from the task:

  • new project / bootstrap / create / build from scratch → start
  • add / change / improve / extend / continue existing project → continue
  • review / inspect / audit / check current code / check current diff → review

If the user includes extra scope details, use them. For example:

  • target project path
  • desired feature
  • constraints
  • files/modules to focus on
  • whether to patch after review
  • whether to limit review to current commit or working tree

If the request is still ambiguous after that, ask one short clarifying question.

Common Workflow

  1. Read the request carefully and determine whether the mode is start, continue, or review.
  2. If the task is project-like, work inside agent_code/<project-name> unless the user explicitly points to another project path.
  3. Ensure the project has a .steps/ folder.
  4. Initialize or update .gitignore if needed so .steps/ and everything under it are ignored.
  5. Think through the task before coding.
  6. Make a short plan and state the chosen approach briefly.
  7. Spawn a coding sub-agent and prefer the model openai-codex/gpt-5.3-codex by default unless the user asks for something else.
  8. Do the execution work inside the project folder: implementation, review, testing, bug-fixing, documentation, and .steps/ tracking.
  9. Keep changes simple, readable, and proportionate to the request.
  10. Before finishing, verify what you reasonably can, document what changed, and state any remaining limitations honestly.

Mode: Start

Use start when creating a new project or bootstrap implementation.

Goals:

  • create the project cleanly
  • get to a minimal working version quickly
  • avoid overbuilding architecture before the first useful version exists

Workflow for start:

  1. Create a properly named project folder under agent_code/<project-name>.
  2. Create .steps/ inside it.
  3. Add .gitignore early and ignore .steps/ from the start.
  4. Set up the smallest sensible project structure.
  5. Build the first working vertical slice.
  6. Add the most important tests that validate the initial core behavior.
  7. Add minimal documentation so the project can be understood and run.
  8. Verify that the initial version works as far as feasible.

Mode: Continue

Use continue when extending or improving an existing project.

Goals:

  • preserve project continuity
  • add or change behavior cleanly
  • avoid unnecessary rewrites

Workflow for continue:

  1. Read the relevant existing project before changing it.
  2. Understand the current structure, conventions, and behavior.
  3. Add the requested functionality or behavior change with the smallest practical edit set.
  4. Prefer focused refactors only when they directly support the requested change or clearly improve readability/maintainability.
  5. Update tests to cover the changed behavior.
  6. Update minimal documentation when behavior, usage, or setup changed.
  7. Verify that the changed behavior works as far as feasible.

Mode: Review

Use review when the task is to inspect, critique, validate, or audit code, commits, or changes.

Possible review scopes include:

  • the whole current project
  • a specific module or file set
  • the latest commit
  • the current branch diff
  • the working tree / uncommitted changes

If the user specifies a scope, use it. If not, choose the most sensible current scope and state it clearly.

Goals:

  • identify meaningful issues or improvement opportunities
  • keep findings practical and concrete
  • optionally make targeted follow-up changes when they are clearly useful and within scope

Workflow for review:

  1. Read the review target completely enough to understand the relevant structure and behavior.
  2. Identify issues in readability, structure, naming, logic, behavior, safety, maintainability, or test coverage.
  3. Summarize the most important findings concretely.
  4. If the user asked for fixes, or if small targeted improvements are obviously beneficial and within scope, apply those changes.
  5. Verify any changes you made as far as feasible.
  6. Update minimal documentation if the resulting behavior or usage changed.

Verification Rules

For any mode, before finishing:

  1. Run the relevant test, build, lint, or smoke-check commands if they are available and reasonable.
  2. Verify the main requested behavior as directly as feasible.
  3. If something cannot be verified, say exactly what was blocked and why.
  4. Do not pretend a project works if it was not actually checked.

Documentation Rules

  • Add or update documentation proportionate to the size of the change.
  • For very small projects or changes, a short README or usage note is enough.
  • Do not create bloated docs for tiny utilities.
  • If behavior, setup, or constraints changed, reflect that in documentation.

Coding Rules

  • Prefer clear names over compact tricks.
  • Prefer fewer files and a smaller API when possible.
  • Prefer standard tools for the language ecosystem.
  • Avoid unnecessary dependencies.
  • Handle invalid input and obvious failure cases clearly.
  • Keep the implementation easy to read and easy to modify.
  • Do not leave the code unverified if a local check is available.

Project Layout Rules

For project-like requests, create or use this structure by default:

  • agent_code/<project-name>/
  • agent_code/<project-name>/.steps/
  • source files in that folder root unless there is a good reason to add subdirectories
  • tests in the same folder if the project is very small
  • add a simple build file when appropriate, such as CMakeLists.txt for C++
  • add or update .gitignore early so .steps/ is ignored before commits start

.steps Notes

Use .steps/ to leave concise tracking notes.

When work results in a commit, create a note named:

  • .steps/<YYYYMMDD-HHMM>-<abbr>-<commit-hash>.md

When work ends without a commit, create a note named:

  • .steps/<YYYYMMDD-HHMM>-<abbr>.md

Each .steps note should stay short and include only:

  • request summary
  • short plan
  • execution outcome

For review tasks, mention the review scope in the outcome.

Git Rules

  • Use git inside the project folder, not at the whole-workspace level, unless the user explicitly wants workspace-level git.
  • Initialize git in the project folder if needed.
  • Add .steps/ to .gitignore before the first commit in a new project when possible.
  • Commit meaningful milestones after verification.
  • If the workspace root has temporary bootstrap git history and the user asks to remove it, remove only that root-level history.
  • Do not rewrite git history unless the user explicitly asks.

Response Style

When reporting back after work completion:

  • start with a short ping that the code or review is ready
  • state which mode was used: start, continue, or review
  • briefly state what was built, changed, or reviewed
  • include where it lives
  • mention verification status honestly
  • mention whether documentation was updated
  • include the latest relevant commit hash if git was used
  • for review tasks, include the review scope and whether follow-up patches were applied

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

85.12%
按下载量换算2,599

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 openclaw skills install simple-code 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills