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openclaw-contributorOpenClaw contributor 搜索

Agent Skill

openclaw-contributor 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

8,427

周安装

362

GitHub Stars

公开资料未说明

下载量

2,954
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:openclaw-contributor(OpenClaw contributor 搜索)
来源仓库:https://github.com/manjaroblack/openclaw-contributor
安装命令:
openclaw skills install openclaw-contributor
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 openclaw-contributor

简介

依据 CONTRIBUTING.md 规范指导 OpenClaw 核心仓库贡献流程。

  • 适用于问题分类、提交准备和社区协作指引。openclaw-contributor 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 安装后可在 OpenClaw 中规范开发参与行为。
  • 使用前需确认本地 Git 环境和分支策略理解。
  • 建议阅读官方贡献指南后再使用此技能辅助。

SKILL.md

name
openclaw-contributor
description
Contribute to the OpenClaw core repository using the repo's own CONTRIBUTING.md rules. Use when working in openclaw/openclaw or a fork to triage issues, plan a focused fix, choose the right validation commands, prepare AI-assisted PRs, route changes to the right subsystem maintainers, or avoid breaking OpenClaw contribution norms.

OpenClaw contributor

Contribute to OpenClaw the way the repo expects.

Start by reading the repo-root CONTRIBUTING.md in the target checkout. Treat it as the source of truth over generic PR habits.

Workflow

  1. Confirm scope.

- Small bugfixes and focused docs fixes can go straight to a PR. - New features, large refactors, or architecture changes should start with a GitHub Discussion or Discord conversation first.

  1. Inspect the changed area before editing.

- Read nearby implementation and tests. - Look for existing branch/work in upstream/* before duplicating effort.

  1. Generate a validation plan.

- Run scripts/recommend_checks.py --repo <openclaw-repo>. - Use its output to choose validation commands and maintainer routing hints.

  1. Keep the patch tight.

- One logical change per PR. - Add or update regression tests with the fix when possible. - Avoid mixing runtime fixes, refactors, docs, and feature work in one branch.

  1. Validate before opening the PR.

- Default expectation from OpenClaw is: - pnpm build - pnpm check - pnpm test - For docs-only or subsystem-specific work, use the slimmer commands recommended by scripts/recommend_checks.py.

  1. Prepare the PR for maintainers.

- Explain what changed and why. - Mark AI-assisted work in the PR title or description. - State testing level clearly. - Include screenshots for UI or visual changes. - Optionally generate a draft with scripts/generate_pr_body.py.

Non-negotiables

  • Follow CONTRIBUTING.md, not generic habits.
  • Keep PRs focused.
  • Prefer source-level fixes over patching built artifacts.
  • Add tests for regressions when practical.
  • Be transparent about AI assistance.
  • For UI changes, preserve Control UI legacy decorator style unless the build tooling is intentionally being changed too.

Use bundled resources

  • references/contributing-checklist.md

- Read when you need the distilled OpenClaw-specific PR checklist, maintainer hints, or validation command matrix.

  • references/pr-template.md

- Read when you need a maintainer-friendly OpenClaw PR structure with AI-assistance disclosure and validation sections.

  • scripts/recommend_checks.py

- Run in an OpenClaw checkout to derive recommended validation commands and maintainer hints from the actual diff. - Example: - python3 skills/openclaw-contributor/scripts/recommend_checks.py --repo /path/to/openclaw - python3 skills/openclaw-contributor/scripts/recommend_checks.py --repo /path/to/openclaw --base upstream/main --json

  • scripts/generate_pr_body.py

- Generate a PR-body draft using the diff-aware recommendations. - Example: - python3 skills/openclaw-contributor/scripts/generate_pr_body.py --repo /path/to/openclaw --title "fix(web-search): honor OpenRouter-backed Perplexity runtime path" --summary "Honor OpenRouter-backed Perplexity config in runtime web_search path" --why "Current runtime ignores configured baseUrl and sends OpenRouter keys to Perplexity direct"

Related skills

If they are available locally, use them alongside this skill:

  • github for GH CLI operations
  • Pull Request before opening the PR
  • code-review before final submission or while addressing review comments

Output standard

When asked to contribute upstream, finish with:

  • branch name
  • files changed
  • validation run (or what remains and why)
  • PR/discussion recommendation
  • any maintainer/subsystem routing hints

适合场景

01

调用多模型

02

代码和文本生成

03

Agent 推理流程

04

OpenRouter 模型接入

能力概览

能力 1

统一调用多种 LLM

能力 2

支持 Claude、Gemini、Kimi 等模型

能力 3

适合聊天、代码和推理任务

能力 4

可作为 Agent 模型调用入口

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

77.92%
按下载量换算2,302

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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

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