超级目标 是 AI Skill Hub 本期精选Agent工作流之一。综合评分 8.0 分,整体质量较高。我们强烈推荐将其纳入你的 AI 工具库,帮助提升工作效率。
超级目标 是一套完整的 AI Agent 自动化工作流方案。通过可视化的节点编排,将复杂的多步骤任务拆解为清晰的自动化流程,实现全程无人值守的智能处理。支持与数百种外部服务和 API 无缝集成,适合构建数据处理管线、业务自动化和 AI 辅助决策系统。
超级目标 是一套完整的 AI Agent 自动化工作流方案。通过可视化的节点编排,将复杂的多步骤任务拆解为清晰的自动化流程,实现全程无人值守的智能处理。支持与数百种外部服务和 API 无缝集成,适合构建数据处理管线、业务自动化和 AI 辅助决策系统。
# 克隆仓库 git clone https://github.com/morphaxl/ultragoal cd ultragoal # 查看安装说明 cat README.md # 按 README 完成环境依赖安装后即可使用
# 查看帮助 ultragoal --help # 基本运行 ultragoal [options] <input> # 详细使用说明请查阅文档 # https://github.com/morphaxl/ultragoal
# ultragoal 配置说明 # 查看配置选项 ultragoal --config-example > config.yml # 常见配置项 # output_dir: ./output # log_level: info # workers: 4 # 环境变量(覆盖配置文件) export ULTRAGOAL_CONFIG="/path/to/config.yml"
Tell Claude what you want once. It works until the job is verifiably done — and it gets smarter every time.
npx ultragoal
An interactive installer walks you through it: choose Claude Code, Codex, or both. Claude Code remains the default for non-interactive installs (--yes) and can install to this project by default (it lands in .claude/settings.json, so teammates get it through git) or machine-wide with --global. If you pick Claude Code, the installer can also pre-configure the repo: five working-style questions, .ultragoal/, and the managed CLAUDE.md block. --codex installs only the Codex native Goal-mode bridge; --all installs both; uninstall removes the selected plugins and marketplace entries. Prefer the Claude route directly? Inside Claude Code:
/plugin marketplace add morphaxl/ultragoal
/plugin install ultragoal@ultragoal
Want it available in every project on your machine instead of just this one?
npx ultragoal --global
Fable 5 already handles long-horizon work — why add a harness? Not to make the model capable; the loop primitives are native and the model is built for them. Two things survive that fact. First, the published workflow still assumes expertise: in Anthropic's own experiments the engineer hand-writes the nine-criteria rubric, knows to spawn a fresh-context verifier, and runs a memory discipline — ultragoal does those for you. Second, one problem is structural, not a capability gap: a worker grading its own work fails in every model generation, which is why Anthropic's guidance reaches for an independent verifier with Fable 5 specifically. The gate makes that separation mechanical instead of habitual.
Do I need to know how to prompt? No — that's the point. You bring what only you know (what you want, who it's for, what must not break); ultragoal writes the expert-grade brief for itself. You review a plan in plain English, never author a prompt.
Versus ralph-loop? Ralph re-feeds the same prompt until a promise appears. Ultragoal adds the parts the article argues matter: a rubric with per-item check commands, an independent verifier, persistent cross-session goals, and enforced distillation into memory.
Does the verifier have its own context, or does it grade in the same conversation? Its own. The verifier is a separate subagent with a fresh context window and no access to the worker's reasoning — it only sees the goal file and what it learns by re-running the checks itself. (It does share the Claude Code process and permissions; for absolute isolation on high-stakes work, run /ultragoal:verify from a separate headless session as documented in that skill.)
How do I change my setup answers later? They're just markdown: edit .ultragoal/config.md directly (flip verification to off, change scope, anything), or re-run /ultragoal:setup to be re-asked interactively. Changes apply to the next goal you arm.
Does it spend a lot of tokens? The gate itself is free (no model call). The loop spends what the work needs — that's the point of goal-directed runs. Budgets cap the blast radius — pick the depth tier when arming (a quick pass for your first goal) to calibrate.
Can I run it unattended? Yes — that's the recommended mode: npx ultragoal run "<brief>" launches at full autonomy, and --headless runs the loop to completion with no UI at all. The discipline lives in the rubric, the verifier, and the budget — not in you approving each tool call.
Uninstall? npx ultragoal uninstall removes the Claude and/or Codex plugin plus marketplace entries it can find; your .ultragoal/ state stays — it's yours. Add --codex or --claude to target one surface, and --purge to delete a repo's state too.
高质量的开源AI工作流项目,实现自动化任务执行
AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。
建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。
✅ MIT 协议 — 最宽松的开源协议之一,可自由商用、修改、分发,仅需保留版权声明。
经综合评估,超级目标 在Agent工作流赛道中表现稳健,质量优秀。如果你已有明确的使用需求,可以直接上手体验;如果还在评估阶段,建议对比同类工具后再做决策。
| 原始名称 | ultragoal |
| Topics | ai-agentsautomationclaude-code |
| GitHub | https://github.com/morphaxl/ultragoal |
| License | MIT |
| 语言 | Shell |
收录时间:2026-06-16 · 更新时间:2026-06-16 · License:MIT · AI Skill Hub 不对第三方内容的准确性作法律背书。
选择 Agent 类型,复制安装指令后粘贴到对应客户端