Borrowing it
Nothing to install: this file belongs to KimYx0207/GoalPro. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/KimYx0207/GoalPro/main/.agents/skills/goalpro/SKILL.mdgit clone --depth 1 https://github.com/KimYx0207/GoalProWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/kimyx0207/goalpro/goalpro)<a href="https://agentmods.dev/skills/kimyx0207/goalpro/goalpro"><img src="https://agentmods.dev/badge/skills/kimyx0207/goalpro/goalpro/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/kimyx0207/goalpro/goalpro"><img src="https://agentmods.dev/badge/skills/kimyx0207/goalpro/goalpro.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00140 | $0.06841 |
| Opus 5.5 | $0.00056 | $0.02736 |
| Sonnet 5.5 | $0.00028 | $0.01368 |
| Haiku 4.5 | $0.00014 | $0.00684 |
Grade A, and why
goalpro scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 25d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
100% identical to goalpro — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 298 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Goal Prompt
目标：先区分用户明确表达的意图、AI 推断的潜在意图和需要用户确认的价值判断，再把战略判断、证据标准和成败边界写成 Codex / Claude Code 能执行、能验收、少跑偏的 Goal Prompt。只有存在真实后续迭代需求时，才追加交付后使用的 Loop Prompt。
GoalPro 的交付物是可复制的提示词，不是任务执行结果。默认一次性交付只输出 Goal Prompt。只有用户明确要求持续迭代 / LOOP，或任务在本次交付后会持续产生新证据并需要下一轮动作时，才追加 Loop Prompt。Loop 不是“一次性返工提示词”，而是每轮都产出 Next LOOP packet 的循环控制器；它必须在开头给出 时间参数，让用户填写下一轮什么时候继续。除非用户明确说“按这个 goal 执行 / 开始改 / 写入文件 / 提交 / 创建自动化”，否则输出适用的提示词后必须停止。
GoalPro 不选择或路由组件，不协调跨组件状态机，也不执行目标、运行 Loop 或替用户做最终验收；后续动作必须由另行获授权的执行者承担。
这不是“让提示词更短”的 Skill。表达经济只在战略完整后处理：删空话，不删判断、边界、证据和验收。
先判任务级别
Intake：用户只要更好的 goal / prompt / spec。Strategic：用户要战略、方案、路线、标准、重要决策或高质量研究结论。Execution：用户要给 agent 一份按 goal 开始做的执行提示词。Repair：之前输出跑偏、太粗糙、太复杂、问太多、假完成。Governed：高风险、多文件、发布、外部事实、生产相邻或会影响真实用户的任务。Workflow：用户提到每天、每周、自动、持续、发布、运营、监控、队列、复盘等重复性工作时，先判断哪些 Trigger / Checkpoint / Brief 信息应写进 Goal Prompt；只有通过 Loop 需求判断门才追加 Loop，开发一个自动化产品本身不等于授权交付后持续执行。
用能诚实验收的最轻模式；但战略性任务必须先过证据门槛。
Prompt-only 闸门
- Skill mention 不等于执行授权。用户只说
goalpro、写 goal、优化提示词、帮我做个目标时，只生成可复制的 goal 提示词。 - 默认一次性交付只生成一段
Goal Prompt，不为了显得完整而附送 Loop。 - 只有通过“Loop 需求判断门”时才追加
Loop Prompt。Loop 只是交付后可粘贴的继续进化提示词，不授权当前回合执行。 - Workflow lens 不新增第三个
Workflow Prompt，不把 GoalPro 变成执行器或自动化平台；必要的 workflow 信息写进 Goal，存在真实循环时再写进 Loop。 - Loop Prompt 必须把
时间参数放在最前面：提示用户自行填写 LOOP 时间，如“手动：贴入上一轮结果后继续”或“每天早上 09:00”。 - 定时/自动 Loop 只是自动化设置说明，除非用户明确授权创建或修改自动化；写了时间不等于已经创建后台任务。
- 生成的 goal 必须能指导后续执行者：对象、动作、上下文、范围、非目标、检查点、暂停条件和验收证据都要清楚。
- 生成的 loop 必须能指导后续执行者复盘上一轮真实结果：看最终报告、diff、验证、截图、用户反馈，定位剩余差距，再决定本轮动作、是否已 Done、是否 Pause、按哪个时间参数继续、以及下一轮
Next LOOP packet。 - 不要因为 goal 里写了 Execution policy、Verification、Checkpoints，就在当前回合继续执行这些内容。
- 不要因为 loop 里写了 Review evidence、Cycle action、Verification delta，就在当前回合开始复盘或修复。
- 只有用户额外明确授权执行、保存、修改文件、提交或发布时，才进入独立的执行任务；那已经不是 GoalPro 的默认输出模式。
Loop 需求判断门
先判断本次是一次性交付，还是存在真实后续迭代需求：
只生成 Goal Prompt：用户只要 goal / prompt / spec；任务虽复杂或多步骤，但可以在一次执行合同内完成和验收；所谓“后续优化”没有明确的新输入、新证据、触发条件或下一轮动作。Goal Prompt + Loop Prompt：用户明确要求 LOOP、持续迭代、周期复盘、监控或自动化；或本次交付后会出现可观察的新证据（运行结果、用户反馈、指标、发布状态、审稿意见等），这些证据会决定下一轮动作。- 复杂、多文件、需要多个 checkpoint、一次执行内反复验证，不自动构成真实后续迭代需求。
- 不确定时默认一次性交付，只生成 Goal Prompt；不要凭 AI 对“持续进化”的偏好擅自追加 Loop。
- 若只要求 Loop，则只输出 Loop Prompt，并要求用户提供上一轮结果或
Next LOOP packet。
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 25d ago Changed · +43 lines · +3 tokens per session 2bd3acdab634
- 1mo ago First seen · 255 lines · 137 tokens per session scan A 4da6bd5aec35
goalpro is a skill published in the GitHub repository KimYx0207/GoalPro (57 stars, last pushed 12d ago), licensed MIT. It adds 140 tokens to every session and 6,841 once invoked, about $0.0006 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to goalpro, differing in 0 lines, and is treated as a copy.
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