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Agent Skill · 开发

collaborating-with-claude(collaborating with Claude 命令行)

collaborating-with-claude 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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。

collaborating-with-claude 是开发类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为执行命令;许可证信息还不明确,第三方扫描已通过,按安装量在开发类的 21,746 个 Skill 里排第 15,262。

总安装 615周安装 25GitHub Stars 公开资料未说明下载 46核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:collaborating-with-claude(collaborating with Claude 命令行)
来源仓库:https://github.com/starforall/ai-coding-toolkit
仓库路径:skills/collaborating-with-claude
安装命令:
npx skills add https://github.com/starforall/ai-coding-toolkit --skill collaborating-with-claude
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/starforall/ai-coding-toolkit --skill collaborating-with-claude

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

collaborating-with-claude 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中围绕仓库状态、代码变更或协作事项进行整理。

适用于需要 Claude Code CLI 提供第二意见、边缘案例审查或多轮对话支持的复杂开发任务。通过结构化 JSON 返回建议差异和操作消息,支持 SESSION_ID 维持会话连续性。不建议用于简单任务,且需确保 Claude Code 已正确安装并配置认证信息。

适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/collaborating-with-claude

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/starforall/ai-coding-toolkit --skill collabora…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要执行命令,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

collaborating-with-claude 怎么安装?

在终端执行 npx skills add https://github.com/starforall/ai-coding-toolkit --skill collaborating-with-…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

collaborating-with-claude 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

collaborating-with-claude 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 npx skills add https://github.com/starforall/ai-coding-toolkit --skill collaborating-with-claude 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。

collaborating-with-claude 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

collaborating-with-claude 用的人多吗?

公开数据是累计安装 615 次,近一周安装 25 次,下载 46 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

collaborating-with-claude 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理开发类任务、又不想每次都手写提示词的人。

不太适合

  • 不能接受 Skill 在你机器上执行命令的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
collaborating-with-claude

collaborating with Claude 命令行 · 本页

615—执行命令未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Collaborating with Claude Code (Codex)

Use Claude Code CLI as a collaborator while keeping Codex as the primary implementer.

This skill provides a lightweight bridge script (scripts/claude_bridge.py) that returns structured JSON and supports multi-turn sessions via SESSION_ID.

When to use

  • You want a second opinion (design tradeoffs, edge cases, missing tests).
  • You want Claude to propose or review a unified diff (Claude does not edit files).
  • You want multi-turn back-and-forth while you implement locally.

When not to use

  • The task is trivial or one-shot (do it directly in Codex).
  • You need authoritative facts that require browsing/citations (Claude may guess).
  • You might paste sensitive data (secrets, private keys, prod logs).

Core rules

  • Claude is a collaborator; you own the final result and must verify changes locally.
  • Do not invoke claude directly; always use the bridge script (scripts/claude_bridge.py) so output/session handling stays consistent.
  • Prefer file/line references over pasting snippets. Run the bridge with --cd set to the repo root (it sets the claude process working directory); use --add-dir when Claude needs access to additional directories.
  • For code changes, request Unified Diff Patch ONLY and forbid direct file modification.
  • Always run the bridge script with --help first if you are unsure of parameters.
  • Always capture SESSION_ID and reuse it for follow-ups to keep the collaboration conversation-aware.
  • For automation, prefer --SESSION_ID (resume). Session selectors are mutually exclusive: choose one of --SESSION_ID, --continue, or --session-id.
  • Keep a short Collaboration State Capsule updated while this skill is active.
  • Default timeout: when invoking via the Codex command runner, set timeout_ms to 600000 (10 minutes) unless a shorter/longer timeout is explicitly required.
  • Default model: prefer sonnet for routine work; use opus only for complex tasks or when explicitly requested.
  • Ensure Claude Code is logged in before running headless commands (run claude and /login once if needed).
  • Streamed JSON requires --verbose; the bridge enables this automatically.

Model selection

Claude Code supports model aliases, so you can use --model sonnet / --model opus instead of hard-coding versioned model IDs.

  • If you omit --model, Claude Code uses its configured default (typically from ~/.claude/settings.json, optionally overridden by .claude/settings.json and .claude/settings.local.json).
  • If you need strict reproducibility, pass a full model name via --model <full-name>.

Quick start (shell-safe)

⚠️ If your prompt contains Markdown backticks (` like/this ), do **not** pass it directly via --PROMPT "..." (your shell may treat backticks as command substitution). Use a heredoc instead; see references/shell-quoting.md`.

PROMPT="$(cat <<'EOF'
Review src/auth.py around login() and propose fixes.
OUTPUT: Unified Diff Patch ONLY.
EOF
)"
python3 .codex/skills/collaborating-with-claude/scripts/claude_bridge.py --cd "." --model sonnet --PROMPT "$PROMPT" --output-format stream-json

Output: JSON with success, SESSION_ID, agent_messages, and optional error / all_messages.

Multi-turn sessions

# Start a session
PROMPT="$(cat <<'EOF'
Analyze the bug in foo(). Keep it short.
EOF
)"
python3 .codex/skills/collaborating-with-claude/scripts/claude_bridge.py --cd "." --PROMPT "$PROMPT" --output-format stream-json

# Continue the same session
PROMPT="$(cat <<'EOF'
Now propose a minimal fix as Unified Diff Patch ONLY.
EOF
)"
python3 .codex/skills/collaborating-with-claude/scripts/claude_bridge.py --cd "." --SESSION_ID "<SESSION_ID>" --PROMPT "$PROMPT" --output-format stream-json

Prompting patterns (token efficient)

Use assets/prompt-template.md as a starter when crafting --PROMPT.

1) Ask Claude to open files itself

Provide:

  • Entry file(s) and approximate line numbers
  • Objective and constraints
  • Output format (diff vs analysis)

Avoid:

  • Pasting large code blocks
  • Multiple competing objectives in one request

2) Enforce safe output for code changes

Append this to prompts when requesting code:

  • OUTPUT: Unified Diff Patch ONLY. Strictly prohibit any actual modifications.

3) Use Claude for what it’s good at

  • Alternative solution paths and edge cases
  • UI/UX and readability feedback
  • Review of a proposed patch (risk spotting, missing tests)

Verification

  • Smoke-test the bridge: python3.codex/skills/collaborating-with-claude/scripts/claude_bridge.py --help.
  • If you need a session: run one prompt with --output-format stream-json and confirm the JSON contains success: true and a SESSION_ID.
  • Note: --output-format text won’t include a newly generated session id; use stream-json/json to capture it. If you resume with --SESSION_ID in text mode, the bridge echoes that SESSION_ID in its JSON output.

Safety & guardrails

  • Never paste secrets (private keys, API keys, seed phrases) into prompts.
  • For code changes, request Unified Diff Patch ONLY and apply changes yourself.
  • Treat Claude output as suggestions; verify locally (tests, lint, build) before merging.

Collaboration State Capsule

Keep this short block updated near the end of your reply while collaborating:

[Claude Collaboration Capsule]
Goal:
Claude SESSION_ID:
Files/lines handed off:
Last ask:
Claude summary:
Next ask:

References

  • assets/prompt-template.md (prompt patterns)
  • references/shell-quoting.md (shell quoting/backticks)

平台分布

Codex

33.81%
按下载量换算16

Claude

30.95%
按下载量换算14

Cursor

19.5%
按下载量换算9

Gemini CLI

9.4%
按下载量换算4

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

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 npx skills add https://github.com/starforall/ai-coding-toolkit --skill collaborating-with-claude 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。目前只有一个公开来源,建议同时核对源仓库。

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