Token导航 LogoToken导航TokenDH.com
开发执行命令github未标认证来源可访问许可证需确认审计通过

asyncasync 命令行

Agent Skill

async 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。

总安装

264

周安装

11

GitHub Stars

16

下载量

88
CodexClaudeCursorGemini CLI

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

unknown

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:async(async 命令行)
来源仓库:https://github.com/flc1125/skills
仓库路径:skills/async
安装命令:
npx skills add https://github.com/flc1125/skills --skill async
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/flc1125/skills --skill async

简介

用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。

  • 适合在需要整理仓库状态、代码变更或协作事项时使用。
  • 可启动子代理任务、管理异步工作流并收集任务结果。
  • 适用于 Codex、Claude、Cursor、Gemini CLI 等宿主环境。
  • 安装前建议确认权限范围和维护状态,避免触发不必要的联网或命令执行。

SKILL.md

Async

Use this skill when the user wants to:

  • start a Codex subagent task now and continue the main thread
  • optionally wait for the result when the task becomes blocking
  • manage subagent work through a user-facing task_ref instead of raw agent_id
  • get a strong completion announcement when async work finishes
  • query, collect, summarize, or redirect a previously launched async task

Do not use this skill for:

  • generic background job systems outside Codex subagents
  • cross-session durable task storage or reliable wake-up guarantees
  • external queues, webhooks, cron, or service orchestration unless the runtime explicitly provides them

Resource Map

Read these references only when needed:

Core Model

Treat each async task as a tracked subagent lifecycle:

  1. frame a bounded task
  2. launch one subagent
  3. assign a stable task_ref
  4. keep the main thread moving unless waiting is required
  5. announce completion strongly when the runtime makes it observable
  6. collect, summarize, or inspect the result later

Expose task_ref to the user. Keep agent_id internal unless debugging requires it.

Defaults

  • Default execution mode is launch-and-continue.
  • If the user asks to wait, or if the result is required for the next critical step, switch to launch-and-wait.
  • Default completion behavior is announce-dont-auto-expand: strongly announce that the task finished, but do not dump the full result unless the user asks or the result is short enough to inline safely.
  • If the user explicitly invokes $async and the task is already clear enough to delegate, launch promptly instead of lingering in a preparation-only phase.

Operating Rules

1. Frame the task

Before launch, identify:

  • objective
  • expected deliverable
  • write scope and ownership
  • whether the task is safe to defer
  • whether the user wants immediate waiting

Prefer one async subagent per distinct objective.

2. Create the task handle

Generate a user-facing task_ref by following references/task-ref.md.

Requirements:

  • task_ref is the primary handle in the conversation
  • map task_ref -> agent_id in the current session context
  • do not rename a task_ref once assigned
  • if the objective changes materially, launch a new task with a new task_ref
  • once a task_ref has been shown to the user, all later status updates, completion alerts, collection steps, and follow-up actions must reuse that exact task_ref

3. Launch

Spawn one subagent with:

  • the bounded task
  • owned scope
  • expected output
  • stop conditions
  • whether it should work independently or be joined immediately

After launch:

  • in launch-and-continue, return the task_ref, current mode, and the next main-thread action
  • in launch-and-wait, wait explicitly and return the result when available

If the user explicitly invoked $async and the task is sufficiently clear, do not silently fall back to a normal single-threaded answer before attempting launch. Either:

  • launch the async task promptly
  • or explain clearly why launch is being deferred, blocked, cancelled, or replaced

4. Track state

Use this minimal state model:

  • running
  • completed_uncollected
  • completed_collected
  • failed
  • cancelled

When completion is observed but the result has not yet been returned to the user, use completed_uncollected.

5. Announce completion strongly

Follow references/alerts.md.

Policy:

  • If host-level UI alerts are available, prefer them first.
  • Otherwise, emit a terminal-style boxed alert.
  • If boxed formatting is unsuitable, emit a structured inline alert.
  • Keep user pull-based control available even after any push-style alert.

If a task finishes while the main thread is doing other work, announce the completion at the next available response opportunity. Do not silently wait for the user to ask first.

6. Support later interaction

Support these user intents against task_ref:

  • check status
  • collect result
  • summarize result
  • inspect failure
  • send follow-up input
  • interrupt and redirect
  • list active async tasks

If the user changes topics after an async task has already been launched, continue answering normally on the main thread, but keep the original async task tracked until it is collected, cancelled, or fails.

7. Keep the model honest

Do not promise:

  • durable execution beyond the current runtime unless explicitly supported
  • guaranteed real-time callbacks in every host
  • unbounded recursive async task trees

When runtime visibility is uncertain, fall back to explicit join or status checks instead of pretending the task is observable.

Safety Rules

  • Do not spawn speculative subagents without a clear deliverable.
  • Do not let the main thread and child task write the same hotspot simultaneously.
  • Prefer read-heavy or clearly bounded write tasks for async execution.
  • Do not repeatedly re-announce the same completed task unless the user asks or the status changed materially.
  • If notification visibility is unclear, be conservative and surface that uncertainty.

Output Structure

When launching a task:

# Async Task

## Objective
- <delegated goal>

## Task Ref
- <task_ref>

## Mode
- <launch-and-continue | launch-and-wait>

## Status
- <running | completed_uncollected | completed_collected | failed | cancelled>

## Main Thread Next Step
- <what happens now>

## Completion Strategy
- <host-ui-alert | boxed-terminal-alert | structured-inline-alert | explicit-join>

When a task completes or fails, put the completion announcement first, then continue with any normal response.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

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

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

Codex

34.38%
按下载量换算30

Claude

28.55%
按下载量换算25

Cursor

18.39%
按下载量换算16

Gemini CLI

10.19%
按下载量换算9

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/flc1125/skills --skill async 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