Token导航 LogoToken导航TokenDH.com
研究检索敏感数据clawhub未标认证来源可访问clear审计通过

buildwrightbuildwright 开发

Agent Skill

buildwright 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

15,741

周安装

643

GitHub Stars

1

下载量

5,041
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:buildwright(buildwright 开发)
来源仓库:https://github.com/raunakkathuria/buildwright
安装命令:
openclaw skills install buildwright
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 buildwright

简介

多代理协作式自主开发工作流引擎。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。

  • 支持单代理简化模式和复杂任务分解。
  • 将跨领域工作拆分为可并行子任务。
  • 需定义清晰的任务边界和交接规则。
  • 适用于模块化程度高的系统开发。buildwright 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
buildwright
description
Autonomous development workflow with multi-agent Claw Architecture. Single-agent mode for simple features; multi-agent mode decomposes cross-domain work into specialist claws (UI, API, DB). Includes TDD, security scan, code review, and quality gates. Works with Claude Code, OpenCode, OpenClaw, and Cursor.
license
MIT
compatibility
Requires git and gh (GitHub CLI). GITHUB_TOKEN with repo scope needed for push/PR. Optional tools for security scans (semgrep, gitleaks, trufflehog). Works with Claude Code, OpenCode, OpenClaw, Cursor, and Codex CLI.
metadata
homepage
https://github.com/raunakkathuria/buildwright
version
0.0.9
author
raunakkathuria
tags
openclaw
requires
bins
env
primaryEnv
GITHUB_TOKEN

Buildwright

Spec-driven autonomous development. Humans approve intent; agents handle everything else.

What this skill does

When activated, Buildwright directs the agent to:

  1. Read your codebase and steering documents
  2. Write a one-page spec (docs/specs/[feature]/spec.md)
  3. Stop for human approval — unless BUILDWRIGHT_AUTO_APPROVE=true
  4. Implement the feature with TDD
  5. Run quality gates: typecheck, lint, test, build
  6. Run optional security scans (if semgrep / gitleaks / trufflehog are installed)
  7. Run a Staff Engineer prompt-based code review
  8. Commit, push, and open a PR via gh

Requirements

Credentials (required)

CredentialPurposeScopeHow to provide
GITHUB_TOKENPush commits and open PRs via ghrepo scope (read/write)export GITHUB_TOKEN=ghp_... or configure in OpenClaw config under skills.entries.buildwright.apiKey

The token must have repo scope to push branches and create pull requests. For minimal privilege, use a fine-grained personal access token scoped to a single repository with "Contents: Read and write" and "Pull requests: Read and write" permissions.

Alternatively, if you use SSH for git push, the GITHUB_TOKEN is still needed for gh pr create. You can use gh auth login to authenticate the GitHub CLI separately.

Binaries (required)

BinaryPurpose
gitCommits and pushes
ghOpens PRs via GitHub CLI

Optional tools

BinaryPurpose
semgrepSAST security scan
gitleaks / trufflehogSecrets detection

Agent Personas (prompt-based, no binaries)

Staff Engineer and Security Engineer are prompt-engineering personas — instructions loaded from .buildwright/agents/ files in the workspace. They are not external tools or binaries. The agent adopts these personas to review specs and code using defined criteria and confidence thresholds. These files contain only prompt instructions and review checklists — no secrets or credentials.

Configuration

BUILDWRIGHT_AUTO_APPROVE (optional, not a credential)

This is an optional boolean flag that controls whether the agent waits for human approval at the spec stage. It is not a secret and not declared in requires.env because it is not required to run the skill.

ValueBehavior
Not setInteractive (default) — stops and waits for "approved" before building
falseInteractive — same as default
trueAutonomous — commits spec to git (audit trail) and proceeds without waiting

Recommendation for first use: Leave BUILDWRIGHT_AUTO_APPROVE unset until you have reviewed a few specs and are comfortable with the workflow. Start with interactive mode in a sandbox repository to observe behavior before enabling autonomous commits and PRs.

Commands

/bw-new-feature \<description\>

Full pipeline for new features. Auto-detects greenfield vs existing projects.

/bw-new-feature "Add OAuth2 login"

Flow: Detect (greenfield or existing?) → Research → Spec → Staff Engineer validates → Human approves → TDD build → Verify → Security scan → Code review → PR

Artifacts produced:

  • docs/specs/[feature]/research.md — what the agent found in your codebase
  • docs/specs/[feature]/spec.md — implementation plan with approaches considered

/bw-claw \<feature\>

Multi-agent pipeline using the Claw Architecture. Architect decomposes the feature into domain-specific claw tasks (UI, API, DB), defines interface contracts, and coordinates execution.

/bw-claw "Add profile photo upload for team members"

Flow: Architect analyzes → Decomposes into claw tasks → Defines interface contract → Claws execute per domain (TDD) → Architect integrates → Buildwright quality gates → PR

Best for: Features that cross domain boundaries (e.g., need DB schema + API endpoint + UI component).

Artifacts produced:

  • docs/specs/[feature]/claw-plan.md — decomposition plan with interface contracts
  • docs/specs/[feature]/claw-[domain].md — per-claw execution report

/bw-quick \<task\>

Fast path for bug fixes and small tasks (<2 hrs). No spec, no approval step. Runs security scan and code review on the changed diff before committing.

Flow: Understand → Research → TDD → Verify → Security scan → Code review → Commit

/bw-quick "Fix the login timeout bug"

/bw-ship \[message\]

Quality pipeline for existing work: verify → security → review → PR.

/bw-ship "feat(auth): add OAuth2 support"

/bw-verify

Quick checks only: typecheck → lint → test → build.


/bw-analyse

Analyse an existing codebase and write structured docs to .buildwright/codebase/. Creates docs from scratch if missing; auto-refreshes existing docs when BUILDWRIGHT_AUTO_APPROVE=true (only asks in interactive mode). Creates tech.md from template if it doesn't exist, then populates it with the discovered stack and commands. Run this first on any brownfield project to give every subsequent session real context.

/bw-analyse

Produces: STACK.md, ARCHITECTURE.md, CONVENTIONS.md, CONCERNS.md under .buildwright/codebase/.


/bw-plan \<question or task file\>

Research a question or topic and produce a written deliverable — no implementation, no commits. Use when someone asks a question or needs an analysis, plan, or report before (or instead of) writing code.

/bw-plan "what are the performance risks in this Flutter app?"
/bw-plan "plan a migration from monolith to microservices"
/bw-plan tasks/flutter-perf-review.md

Flow: Understand question/task → Clarify if needed → Research (read code + run read-only tools) → Synthesize findings → Write deliverable → Summarize

Accepts two invocation styles:

  • Inline question — describe the question or topic directly; the agent infers scope and writes to docs/plans/<slug>/<date>/plan.md
  • Task file — a structured .md file with Inputs, Rules, Research Areas, and Outputs blocks; the agent parses and executes it exactly

Use /bw-plan when you want: a performance review, architecture decision record, migration plan, technology evaluation, static analysis report, or any "research this and give me a written output" task.

Use /bw-new-feature instead when you want the plan executed (research + spec + implement + ship).

Artifacts produced: whatever the task specifies; at minimum plan.md in the output directory.

Hard constraints: never modifies source files, never commits or creates PRs, every finding must cite evidence.


/bw-help

Show all available commands.


Failure Behavior

If any gate fails after retries, the agent commits completed work, pushes, and opens a PR with a structured failure report. It does not leave orphaned branches or silent failures.

Retry Policy

GateRetriesRationale
Verify (typecheck, lint, test, build)2xFixable by the agent
Security scanNoneRequires human judgment
Code reviewNoneArchitectural decisions need humans

Security Considerations

This skill performs autonomous code changes, commits, and pull requests. Understand what it does before enabling it on repositories with sensitive or production code.

What the skill reads: Your repository source code, .buildwright/agents/ persona files (prompt instructions only, no secrets), and .buildwright/steering/ context files.

What the skill writes: Spec files under docs/specs/, source code changes, git commits on feature branches, and pull requests via gh.

What the skill does NOT do: It does not modify .env files, access secrets stores, run destructive git operations (force push, reset), or merge PRs. All changes go to feature branches with PRs for human review.

Recommended setup for first use:

  1. Start with a fork or sandbox repository, not production code
  2. Leave BUILDWRIGHT_AUTO_APPROVE unset (interactive mode) to review specs before builds
  3. Use a fine-grained GitHub token scoped to a single repository with minimal permissions
  4. Rotate tokens regularly and revoke when no longer needed
  5. Review generated PRs before merging — the skill creates PRs, it does not merge them

More Information

Full documentation, source code, and setup instructions: https://github.com/raunakkathuria/buildwright

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

77.9%
按下载量换算3,927

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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