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 ZTE-AICloud/Co-OmniSpec --skill mini-designgit clone --depth 1 https://github.com/ZTE-AICloud/Co-OmniSpecWrote 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/zte-aicloud/co-omnispec/mini-design)<a href="https://agentmods.dev/skills/zte-aicloud/co-omnispec/mini-design"><img src="https://agentmods.dev/badge/skills/zte-aicloud/co-omnispec/mini-design/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/zte-aicloud/co-omnispec/mini-design"><img src="https://agentmods.dev/badge/skills/zte-aicloud/co-omnispec/mini-design.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 | $0.00040 | $0.01065 |
| Opus 5 | $0.00020 | $0.00532 |
| Sonnet 5 | $0.00008 | $0.00213 |
| Haiku 4.5 | $0.00004 | $0.00106 |
Grade A, and why
mini-design scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Mini Design Skill
极简SDD流程,根据输入的方案要求结合代码生成详设文档.
触发条件
当用户需要:
- 从自然语言描述创建功能详设文档
- 将需求转化为结构化的设计规范
- 生成可执行的开发计划文档
执行步骤
0. skill执行开始时间打点记录
开始执行步骤之前,需要进行一些打点记录工作,记录本skill的执行时间到 start_time字段:
- 判断当前操作系统,windows还是linux系统;
- 针对不同操作系统运行脚本获取配置
windows:
Get-Date -Format "yyyy-MM-dd HH:mm:ss"linux:date +"%Y-%m-%d %H:%M:%S" - 将获取的时间记录到
start_time
1. 分支创建
-
为分支生成一个简短名称(2-4个词):
- 分析功能描述并提取最有意义的关键词
- 创建一个2-4个词的简短名称, 捕捉功能的核心
- 尽可能使用动-名词格式(例如, "add-user-auth", "fix-payment-bug")
- 保留技术术语和缩写(OAuth2、API、JWT等)
- 保持简洁但足够描述性, 便于快速理解功能
- 示例:
- "I want to add user authentication" → "user-auth"
- "Implement OAuth2 integration for the API" → "oauth2-api-integration"
- "Create a dashboard for analytics" → "analytics-dashboard"
- "Fix payment processing timeout bug" → "fix-payment-timeout"
-
仓库根目录下执行脚本(不要从技能目录下找)
- 判断当前操作系统,windows还是linux系统;
- windows:
scripts/powershell/mini-create-new-feature.ps1 --json "$ARGUMENTS" - linux:
scripts/bash/mini-create-new-feature.sh --json "$ARGUMENTS"
使用简短名称参数并解析其 JSON 输出以获取 BRANCH_NAME 、 SPEC_FILE 、FEATURE_DIR. 所有文件路径必须是绝对路径.
- 重要说明:
- 将第1步创建的2-4词简短名称作为参数附加到
linux:
scripts/bash/mini-create-new-feature.sh --json "$ARGUMENTS"windows:scripts/bash/mini-create-new-feature.sh --json "$ARGUMENTS"命令, 功能描述作为最终参数. - Bash 示例:
--short-name "your-generated-short-name" "功能描述内容" - 对于参数中包含单引号的情况(如 "I'm Groot"), 使用转义语法: 例如 'I'''m Groot'(或优先使用双引号: "I'm Groot")
- 你必须且只能运行此脚本一次
- JSON 输出会显示在终端中 - 请始终参考该输出来获取你要查找的实际内容
- 将第1步创建的2-4词简短名称作为参数附加到
linux:
2. 详设生成
- 加载上下文,SPEC_FILE 以了解必需的章节.
- 将上述用户输入作为上下文传递给
spec-impact-analyze技能,并严格遵照技能指引执行。 - 读取搜集的与用户需求相关文档 FEATURE_DIR/context.md ,查找与用户需求相关的代码, 完成 SPEC_FILE 详设文档编写, 保持章节顺序和标题.
3. 检查校验
- 使用 mini-design-review 子代理评审输出的详设文档。
- 子代理运行结束后,读取子代理生成的评审文件 FEATURE_DIR/review-result.md 。
- 如果有评审意见,按照评审意见修改 SPEC_FILE,然后再执行
步骤1 使用 mini-design-review 子代理评审输出的详设文档。 - 如果没有评审意见,则执行后续步骤。
4. 记录本skill的运行日志信息
执行runlog-record skill,请将前面获取到的start_time的值作为参数传入runlog-record skill
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 · 86 lines · 40 tokens per session scan A caf42fea2e58
mini-design is a skill published in the GitHub repository ZTE-AICloud/Co-OmniSpec (54 stars, last pushed 1mo ago), licensed MIT. It adds 40 tokens to every session and 1,065 once invoked, about $0.0002 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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