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Agent Skill · 开发

gh-agent-session(gh Agent 会话)

gh-agent-session 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。

gh-agent-session 是开发类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证信息还不明确,第三方扫描有提醒项,按安装量在开发类的 21,746 个 Skill 里排第 16,264。

总安装 517周安装 22GitHub Stars 4,377下载 181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:gh-agent-session(gh Agent 会话)
来源仓库:https://github.com/github/gh-aw
仓库路径:skills/gh-agent-session
安装命令:
npx skills add https://github.com/github/gh-aw --skill gh-agent-session
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/github/gh-aw --skill gh-agent-session

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。

gh-agent-session 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。适合在需要围绕仓库状态、代码变更或协作事项进行整理时使用。通过 npx skills add 命令安装,需确认权限范围和维护状态后再使用。使用前应检查是否会触发联网、命令执行或文件读写等高风险操作。

建议结合原始 README 和来源仓库进一步核验具体用法和功能边界。

来源仓库内路径:skills/gh-agent-session

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/github/gh-aw --skill gh-agent-session;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

    它需要接触敏感数据,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

gh-agent-session 怎么安装?

在终端执行 npx skills add https://github.com/github/gh-aw --skill gh-agent-session。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

gh-agent-session 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。

gh-agent-session 需要什么权限?

权限级别是接触敏感数据。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。

gh-agent-session 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。

gh-agent-session 用的人多吗?

公开数据是累计安装 517 次,近一周安装 22 次,下载 181 次,GitHub 4,377 星。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。

gh-agent-session 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。
  • 来源仓库有 4,377 星,维护活跃度相对可查。

先想清楚的地方

  • 需要接触敏感数据,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。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 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
gh-agent-session

gh Agent 会话 · 本页

5174,377接触敏感数据未明确有提醒

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

GitHub CLI Agent Session Extension

The gh agent-task CLI extension enables creating GitHub Copilot coding agent sessions through the command line. An agent session is a specialized GitHub issue that triggers GitHub Copilot to perform automated code changes based on natural language instructions.

Repository: https://github.com/github/agent-task (internal GitHub extension)

Overview

Agent sessions are GitHub issues that:

  • Contain natural language instructions for code changes
  • Trigger GitHub Copilot to autonomously execute the task
  • Create pull requests with the implemented changes
  • Provide a workflow for reviewing and merging automated code modifications

Installation

Install via GitHub CLI:

gh extension install github/agent-task

Note: This extension requires authentication with a Personal Access Token (PAT) that has appropriate permissions for creating issues and pull requests.

Core Commands

Create Agent Task

Create a new agent session from a description:

# Create task with inline description
gh agent-task create "Fix the bug in authentication flow"

# Create task from file
gh agent-task create --from-file task-description.md

# Specify base branch
gh agent-task create --base develop "Implement new feature"

# Create in different repository
gh agent-task create --repo owner/repo "Update documentation"

Command Parameters:

  • Description (positional): Natural language description of the task
  • --from-file <path>: Read task description from file
  • --base <branch>: Base branch for the pull request (default: repository default branch)
  • --repo <owner/repo>: Target repository (default: current repository)

Output Format: The command outputs the URL of the created agent session:

https://github.com/owner/repo/issues/123

List Agent Tasks

List agent sessions in a repository:

# List all agent sessions
gh agent-task list

# List with filters
gh agent-task list --state open
gh agent-task list --state closed
gh agent-task list --state all

View Agent Task

View details of a specific agent session:

# View by number
gh agent-task view 123

# View by URL
gh agent-task view https://github.com/owner/repo/issues/123

Update Agent Task

Update an existing agent session:

# Update description
gh agent-task update 123 "Updated task description"

# Update from file
gh agent-task update 123 --from-file updated-description.md

Task Description Format

Agent session descriptions should be clear, specific natural language instructions:

Good Example:

# Refactor User Authentication

Refactor the user authentication flow in `src/auth/login.js` to:
1. Use async/await instead of callbacks
2. Add proper error handling with specific error messages
3. Add input validation for email format
4. Update tests to cover the new implementation

Maintain backward compatibility with the existing API.

Poor Example:

Fix auth

Best Practices:

  • Be specific about what needs to change
  • Reference file paths when relevant
  • Include acceptance criteria
  • Specify any constraints or requirements
  • Mention testing expectations

Integration with GitHub Agentic Workflows

The gh agent-task extension is used by the create-agent-session safe output feature in GitHub Agentic Workflows (gh-aw).

Safe Output Configuration

safe-outputs:
  create-agent-session:
    base: main                       # Base branch for agent session PR
    target-repo: "owner/target-repo" # Cross-repository task creation

Workflow Example

on:
  issues:
    types: [labeled]
permissions:
  contents: read
  actions: read
engine: claude
safe-outputs:
  create-agent-session:
    base: main

# Code Task Delegator

When an issue is labeled with "code-task", analyze the requirements and create a GitHub Copilot coding agent session with detailed instructions for implementing the requested changes.

Implementation Details

The safe output processor:

  1. Reads agent output from the workflow execution
  2. Extracts create_agent_task items from the structured output
  3. Writes task descriptions to temporary files
  4. Executes gh agent-task create --from-file <file> --base <branch>
  5. Captures the created task URL and number
  6. Reports results in job summary

Environment Variables:

  • GITHUB_AW_AGENT_TASK_BASE: Base branch for the pull request
  • GITHUB_AW_TARGET_REPO: Target repository for cross-repo task creation
  • GITHUB_AW_SAFE_OUTPUTS_STAGED: Preview mode flag

Authentication Requirements

Agent session creation requires elevated permissions beyond the default GITHUB_TOKEN:

Required Permissions:

  • contents: write - To create branches and commits
  • issues: write - To create the agent session issue
  • pull-requests: write - To create pull requests

Token Precedence:

  1. COPILOT_GITHUB_TOKEN - Dedicated Copilot operations token (recommended)
  2. GH_AW_GITHUB_TOKEN - General override token (legacy)
  3. Custom token via github-token configuration field

Note: The default GITHUB_TOKEN is not supported as it lacks required permissions. The COPILOT_CLI_TOKEN and GH_AW_COPILOT_TOKEN secrets are no longer supported as of v0.26+.

Setting Up Authentication

Store your Personal Access Token in repository secrets:

# In your repository settings, add secret:
# Name: COPILOT_GITHUB_TOKEN (recommended)
# Value: ghp_YourPersonalAccessToken

:::note[Backward Compatibility] Legacy token name GH_AW_GITHUB_TOKEN is still supported for backward compatibility. The GH_AW_COPILOT_TOKEN token is no longer supported as of v0.26+.:::

Error Handling

Authentication Errors

Error: failed to create agent session
authentication required

Solution: Configure COPILOT_GITHUB_TOKEN or legacy GH_AW_GITHUB_TOKEN with a PAT.

Permission Errors

Error: 403 Forbidden
Resource not accessible by integration

Solution: Ensure the token has contents: write, issues: write, and pull-requests: write permissions.

Repository Not Found

Error: repository not found

Solution: Verify the target repository exists and the token has access to it.

Testing in Staged Mode

When safe-outputs.staged: true, agent sessions are previewed without creation:

safe-outputs:
  staged: true
  create-agent-session:

Staged Output:

## 🎭 Staged Mode: Create Agent Tasks Preview

The following agent sessions would be created if staged mode was disabled:

### Task 1

**Description:**
Refactor authentication to use async/await pattern

**Base Branch:** main

**Target Repository:** owner/repo

Common Patterns

Issue-Triggered Agent Tasks

on:
  issues:
    types: [labeled]
engine: claude
safe-outputs:
  create-agent-session:

When issue is labeled with "needs-implementation", create an agent session with implementation instructions.

Scheduled Code Improvements

on:
  schedule:
    - cron: "0 9 * * 1"  # Monday 9AM
engine: copilot
safe-outputs:
  create-agent-session:
    base: develop

Analyze codebase for improvement opportunities and create agent sessions for top 3 improvements.

Cross-Repository Task Delegation

on: workflow_dispatch
engine: claude
safe-outputs:
  create-agent-session:
    target-repo: "organization/backend-repo"
    base: main

Create agent session in backend repository to implement the API changes described in this issue.

Best Practices

Task Description Guidelines

  1. Be Specific: Include file paths, function names, and exact requirements
  2. Include Context: Explain why the change is needed
  3. Define Success: Specify acceptance criteria or expected outcomes
  4. Mention Tests: Request test coverage for changes
  5. Set Constraints: Note any compatibility requirements or limitations

Security Considerations

  1. Token Security: Store PATs as secrets, never commit to repository
  2. Permission Scope: Use minimum required permissions on tokens
  3. Repository Access: Validate target repository before task creation
  4. Review Process: Establish review workflow for agent-generated code

Operational Guidelines

  1. Monitor Usage: Track agent session creation and completion rates
  2. Review Output: Always review agent-generated pull requests
  3. Iterate: Refine task descriptions based on agent performance
  4. Document: Maintain patterns for common task types

Troubleshooting

Task Creation Fails Silently

Symptom: No error but no task created

Check:

  1. Verify COPILOT_GITHUB_TOKEN is set in repository secrets
  2. Confirm token has required permissions
  3. Check job logs for error messages
  4. Verify target repository exists and is accessible

Agent Task Not Triggering Copilot

Symptom: Task created but no automated PR

Possible Causes:

  1. GitHub Copilot not enabled for repository
  2. Task description unclear or ambiguous
  3. Repository settings blocking automated PRs
  4. Copilot service issues

Solution: Check repository Copilot settings and refine task description.

Cross-Repository Tasks Fail

Symptom: Error when creating tasks in different repository

Check:

  1. Token has access to target repository
  2. Target repository exists and is spelled correctly
  3. Token has required permissions in target repository

Output Structure

When used via safe outputs, the create-agent-session job provides outputs:

outputs:
  task_number: "123"
  task_url: "https://github.com/owner/repo/issues/123"

Usage in Dependent Jobs:

jobs:
  follow_up:
    needs: create_agent_task
    steps:
      - name: Notify team
        run: |
          echo "Agent session created: ${{ needs.create_agent_task.outputs.task_url }}"

References

平台分布

Codex

36.2%
按下载量换算66

Claude

30.9%
按下载量换算56

Cursor

17.44%
按下载量换算32

Gemini CLI

9.67%
按下载量换算18

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

接触敏感数据

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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