Borrowing it
Nothing to install: this file belongs to arctan303/creator.skill. 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/arctan303/creator.skill/main/.agents/skills/goal-writer/SKILL.mdgit clone --depth 1 https://github.com/arctan303/creator.skillWrote 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/arctan303/creator.skill/goal-writer)<a href="https://agentmods.dev/skills/arctan303/creator.skill/goal-writer"><img src="https://agentmods.dev/badge/skills/arctan303/creator.skill/goal-writer.svg" alt="Measured on agentmods" 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 | $0.00066 | $0.00493 |
| Opus 5 | $0.00033 | $0.00246 |
| Sonnet 5 | $0.00013 | $0.00099 |
| Haiku 4.5 | $0.00007 | $0.00049 |
Grade A, and why
goal-writer 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 8d 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.
What it actually says
Goal 编写技能 (goal-writer)
Purpose
把长期任务写成 Agent 能自主执行、明确停止、失败后恢复并用证据验收的单一 Goal。
Trigger
- 任务需要跨较长时间、多个工具调用或宿主自动执行。
- 用户明确要求持续执行、托管、直到交付或生成 Goal。
- 普通单轮任务不需要额外 Goal 文件。
Required context
- 唯一目标、范围和非目标。
- 当前状态、依赖、授权与可用资源。
- 可观察完成标准和验收证据。
- 最大重试/复审边界、中断条件和恢复入口。
Workflow
- 将愿望改写为单一、有限、可完成的目标。
- 写出可观察完成标准和可复现验收方式。
- 明确授权边界、最大重试次数、reviewer 收敛条件和外部依赖。
- 规定容量、网络、工具或宿主故障时的中断状态与恢复检查点。
- 检查 Goal 不会通过“永远继续”“不断生成 reviewer”等文字制造无限循环。
Output
- 可直接发送给 Agent 的 Goal 块。
- 目标、范围/非目标、完成标准、验收方式。
- 停止条件、失败条件、重试上限和恢复方式。
- 需要用户先授权或决策的事项。
Stop or escalate
- 目标包含互相依赖的多个大型结果：拆分后再输出。
- 完成标准不可观察或依赖未确认信息：停止并指出缺口。
- 用户要求无限重试、无限审查或规避容量/权限限制：改写为有界目标并明确说明。
- 必须扩大外部权限才能执行：请求用户授权，不自行扩权。
References
执行前读取 stage-contract.md。
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.
- 8d ago First seen · 50 lines · 66 tokens per session scan A 975d988fb7fb
goal-writer is a skill published in the GitHub repository arctan303/creator.skill (20 stars, last pushed 3d ago), licensed MIT. It adds 66 tokens to every session and 493 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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