autoprompt-skill

作者 Spielewoy已验证

Autoprompt is a coding-agent skill that cuts failures by 45% on agentic coding tasks.

721
Stars
47
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JavaScript
语言
2026/8/23
添加时间

⚠️ 第三方软件声明

本 Skill 为第三方开源软件,独立托管于 GitHub。SkillTip 仅为信息目录,不控制或维护底层仓库。所显示的安全检查为自动化且范围有限,安装前请自行审查源码。

阅读服务条款

安装

添加到你的 Claude Code skills 目录:

# Add to your Claude Code skills
git clone https://github.com/Spielewoy/autoprompt-skill

快速入门

使用 autoprompt-skill 等 Skills 的指南。

安全报告

已验证

上次扫描:—

{
  "status": "PASSED",
  "issues": []
}

README.md

Autoprompt Skill with 45% fewer failures on agentic coding tasks

Autoprompt is a coding-agent skill that cuts failures by 45% on agentic coding tasks.

Terminal-Bench 2.1: plus 14.61 points Version 1.0.4 Nine supported providers License MIT

English | 中文 | 한국어 | Español | العربية

Contents

Install · Benchmarks · Invocation · Run controls · Workflow · Agents · Examples · FAQ · License

Install

Use the CLI below, or download an installer from GitHub Releases.

1. Install the CLI

npm install -g autoprompt-skill

2. Launch the installer

autoprompt

3. Install

Choose your coding agent, confirm its path, and install. N means enter another path.

For another CLI or IDE, choose Custom coding agent and use the compatibility guide.

Install from source
git clone https://github.com/Spielewoy/autoprompt-skill
cd autoprompt-skill
npm install -g .
autoprompt

Requirements

Support

StatusCoding agentAudited requirementKey
WorkingClaude Code2.1.219+; audited 2.1.233claude
WorkingCodexSubagent-capable build; audited 0.147.0codex
WorkingOpenCode1.18.7+; audited 1.18.18opencode
WorkingKilo Code7.4.22+; audited 7.4.22kilo
WorkingVS Code1.133+; audited 1.133.0 with Copilot 0.61.0vscode
WorkingPrime Agent0.7.2; audited 0.7.2; native package adapterprime
WorkingOh My Pi17.4.0+; adapter contract, install lifecycle, and native role payload verified for 17.4.0omp
WorkingDeepSeek Harness0.1.0-rc.7+; adapter contract, install lifecycle, and native role payload verified for 0.1.0-rc.7deepseek
WorkingReasonix1.30.0+; adapter contract, install lifecycle, and native role payload verified for 1.30.0reasonix

See support and audit notes.

Check, update, or remove an installation

  • Check every detected installation: autoprompt doctor --strict
  • Check one provider: autoprompt doctor PROVIDER --strict
  • Update or repair: autoprompt, then choose an installed provider
  • Uninstall interactively: autoprompt uninstall
  • Uninstall one provider: autoprompt uninstall PROVIDER
  • Show every command: autoprompt help

Replace PROVIDER with a key from the support table, such as claude, codex, or prime.

Benchmarks

Terminal-Bench 2.1 leaderboard with 18 Artificial Analysis reference scores and measured DeepSeek V4 Flash 0731 scores with and without Autoprompt.

Measured OpenCode comparison

OpenCode 1.18.7 on Terminal-Bench 2.1: OpenCode solved 60 of 89 tasks and OpenCode with Autoprompt solved 73 of 89 tasks.

TrackSolvedScoreFailed
OpenCode60/8967.42%29
OpenCode + Autoprompt73/8982.02%16
Change+13 solves+14.61 points45% fewer

DeepSeek's 82.7% used its own test setup, so it is a reference point, not a comparable third run. Read the setup and evidence boundaries, or request another benchmark.

Expected trade-off: about 3x the time and 2x the tokens.

Timing and token logs were not retained, so these are planning estimates based on user experience reports, not measured benchmark results. The measured result was 29 to 16 failures (45% fewer) in this run, which translates to about 2x fewer mistakes. Note: for very small tasks, this may differ heavily.

Anatomy of an invocation

Anatomy of an Autoprompt invocation: trigger, concurrency mode, agent cap, model routing, and goal

Run controls

Use mode= to set concurrency. Use agents= to route models where the host supports it. Custom model setup

ControlClaude CodeCodexOpenCodeKiloVS CodePrime AgentOh My PiDeepSeek HarnessReasonix
mode=
Custom agents= routing✕ Not available - inherits active model✕ Not available - inherits active model✕ Not available - inherits active model✕ Not available - inherits selected parent model✕ Not available - inherits selected parent model✕ Not available - inherits selected parent model✕ Not available - inherits selected parent model

How it works

Autoprompt workflow from prompt through planning, build, review, tests, sign-off, and sweep

The agents

Autoprompt agent hierarchy from prompt to coordinators, manager, execution lanes, and independent checks

Examples

GoalPrompt
Fix/autoprompt fix the registration race and add a regression test
Build/autoprompt mode=wide build the booking flow from API to checkout
Research/autoprompt compare job queues against this codebase and recommend one
Limit parallel work/autoprompt mode=custom max_subs=4 migrate every model

Use $autoprompt instead of /autoprompt in Codex. In Oh My Pi, use /skill:autoprompt.

FAQ

Does Autoprompt mean I literally do not have to prompt?

No. Give it a clear goal, constraints, and success criteria. Autoprompt handles the execution loop, so you do not have to prompt every step. Details

How autonomous is Autoprompt?

It can scope, implement, test, review, repair, and verify a goal. It stops for choices that change the result, actions that need your authority, or blockers it cannot safely resolve. Details

What are the layers for?

The layers separate coordination, management, execution, and independent judgment. That separation keeps one agent from planning, approving, and verifying its own work. Details

What do `mode`, `max_subs`, and `agents` do?

mode=tokensaver caps active subagents at six. mode=wide opens every ready lane. mode=custom max_subs=N sets your own ceiling. agents controls model routing where the host supports it. Details

Why does Autoprompt not start in the background?

Because it changes cost, time, and workflow. Start it explicitly with /autoprompt <goal>, or $autoprompt in Codex.

License

MIT. Copyright 2026 Spielewoy.

Community: Contributing, Code of Conduct, Security, and Support.

常见问题

What is autoprompt-skill?

autoprompt-skill is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by Spielewoy. Autoprompt is a coding-agent skill that cuts failures by 45% on agentic coding tasks. It has 721 GitHub stars.

Is autoprompt-skill safe to use?

Yes. autoprompt-skill passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.

How do I install autoprompt-skill?

Clone the repository with "git clone https://github.com/Spielewoy/autoprompt-skill" and add it to your Claude Code skills directory (see the Installation section above).

What programming language is autoprompt-skill written in?

autoprompt-skill is primarily written in JavaScript. It is open-source under Spielewoy on GitHub, so you can review or fork the full source.

Are there alternatives to autoprompt-skill?

Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh autoprompt-skill against similar tools.

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