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 | $0.00137 | $0.05436 |
| Opus 5 | $0.00068 | $0.02718 |
| Sonnet 5 | $0.00027 | $0.01087 |
| Haiku 4.5 | $0.00014 | $0.00544 |
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 10d 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 — 255 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Goal Prompt + Loop Prompt
目标：先把真实意图、战略判断、证据标准和成败边界讲清楚，再写成 Codex / Claude Code 能执行、能验收、少跑偏的 Goal Prompt；同时产出一个交付后继续进化用的 Loop Prompt。
GoalPro 的交付物是可复制的提示词，不是任务执行结果。默认输出两段：Goal Prompt 用于启动执行，Loop Prompt 用于执行结果出来后的复盘、差距修复和持续进化。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”，否则输出两段提示词后必须停止。
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 / Loop Prompt。
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。 - 新版默认生成两段提示词：
Goal Prompt和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 不改变输出形态：默认仍然只输出
Goal Prompt和Loop Prompt，不新增第三个Workflow Prompt，不把 GoalPro 变成执行器或自动化平台。 - 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。
意图对齐质量门
输出任何 Goal Prompt + Loop Prompt 前，先做一次短自检：
- 对齐链路：表面请求 -> 真实意图 -> 战略结果 -> 可执行动作 -> 验收证据；链路断开的字段必须重写。
Intent不能只复述用户原话；必须说明用户真正要改变的局面、当前不满和最大误伤点。Strategic outcome和Decision standard必须解释为什么这个 goal 符合用户意图，而不是只描述交付物。- 如果换掉项目名、文件名或用户场景后仍然成立，就太泛；补对象、边界、先读材料、检查点或暂停条件。
Loop Prompt必须绑定上一轮交付物和验证证据，不能写成一个不看结果的新 goal；它必须先给可填写的时间参数，再包含可继承的 loop state 和下一轮 LOOP 生成规则。- 如果不同解释会改变路线、风险、权限、范围或验收，先问一个阻塞问题，并给出推荐答案；能通过读取上下文解决的问题，不要丢给用户。
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.
- 10d ago First seen · 255 lines · 137 tokens per session scan A 4da6bd5aec35
goalpro is a skill published in the GitHub repository KimYx0207/GoalPro (56 stars, last pushed 28d ago), licensed MIT. It adds 137 tokens to every session and 5,436 once invoked, about $0.0007 per session on Opus 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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