Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add mindspore-ai/akg --skill skills_creatorgit clone --depth 1 https://github.com/mindspore-ai/akgWrote 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/mindspore-ai/akg/skills_creator)<a href="https://agentmods.dev/skills/mindspore-ai/akg/skills_creator"><img src="https://agentmods.dev/badge/skills/mindspore-ai/akg/skills_creator/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/mindspore-ai/akg/skills_creator"><img src="https://agentmods.dev/badge/skills/mindspore-ai/akg/skills_creator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00086 | $0.01035 |
| Opus 5 | $0.00043 | $0.00517 |
| Sonnet 5 | $0.00017 | $0.00207 |
| Haiku 4.5 | $0.00009 | $0.00103 |
Grade A, and why
skills_creator 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 9d 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
Skills 创建器
Problem
当用户完成复杂的、有价值的任务后，这些经验通常只存在于对话历史中。下次遇到类似问题时，需要重新探索，浪费时间和精力。需要将对话中的知识提取为可复用的 skill。
Context / Trigger Conditions
当以下任一条件满足时，调用此技能：
- 用户明确要求"凝练当前上下文"、"总结上下文为skills"或"skills summary"
- 用户说"任务成功"并希望保存经验
- 用户询问 "available skills" 后希望创建新技能
- 完成了复杂的调试任务，发现了非显而易见的解决方案
- 通过试错发现了有效的解决方案
Solution
Step 1: 分析对话
从对话历史中提取以下信息：
- 原始目标：用户最初希望完成什么任务
- 核心挑战：任务中的关键难点和决策点
- 解决步骤：抽象出可泛化的行动序列
- 避坑指南：常见的错误或陷阱
- 所需工具：完成任务需要的工具或资源
Step 2: 评估知识价值
在创建 skill 前验证：
- 可复用性：这个知识对未来任务有帮助吗？（不仅是当前案例）
- 非平凡性：这个知识需要发现，而不是简单的文档查阅？
- 具体性：能否描述具体的触发条件和解决方案？
- 已验证：解决方案是否真正有效？（不仅是理论上的）
Step 3: 生成技能文档
创建符合 OpenCode 规范的 SKILL.md 文件：
---
name: <技能名称>
description: |
<精确描述，包括：(1) 具体用例，(2) 触发条件如具体错误信息或症状，
(3) 解决的问题。足够具体以便语义匹配能准确检索
(4) 限制字符长度为1-1024>
version: 1.0.0
date: <YYYY-MM-DD>
---
# <技能名称>
## Problem
<该技能解决的问题清晰描述>
## Context / Trigger Conditions
<何时使用此技能？包含具体的错误信息、症状或场景>
## Solution
<逐步解决方案或要应用的知识>
## Verification
<如何验证解决方案有效>
## Example
<应用此技能的具体示例>
## Notes
<任何注意事项、边缘情况或相关考虑>
## References
<可选：链接到官方文档、文章或参考资料>
Step 4: 保存技能
将新技能保存到适当位置：
- 项目级技能：
.opencode/skills/[skill-name]/SKILL.md - 用户级技能：
~/.opencode/skills/[skill-name]/SKILL.md
Verification
创建 skill 后，确认以下检查项：
- Description 包含具体的触发条件
- Solution 已验证有效
- 内容足够具体以便可执行
- 内容足够通用以便可复用
- 不包含敏感信息（凭证、内部 URL 等）
- 不重复现有文档或技能
Notes
- 技能名称格式：仅使用小写字母、数字、连字符（kebab-case）
- description 是关键字段，要包含具体症状和上下文标记
- 不是每个任务都需要创建 skill，只提取真正有价值的知识
- 建议使用中文编写内容（除非用户指定其他语言）
References
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.
- 9d ago First seen · 126 lines · 86 tokens per session scan A 854866a7d360
skills_creator is a skill published in the GitHub repository mindspore-ai/akg (259 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 86 tokens to every session and 1,035 once invoked, about $0.0004 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 2026-09-03.
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