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 bahayonghang/my-ai-cli-toolkit --skill lxxyx-wt-initgit clone --depth 1 https://github.com/bahayonghang/my-ai-cli-toolkitWrote 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/bahayonghang/my-ai-cli-toolkit/lxxyx-wt-init)<a href="https://agentmods.dev/skills/bahayonghang/my-ai-cli-toolkit/lxxyx-wt-init"><img src="https://agentmods.dev/badge/skills/bahayonghang/my-ai-cli-toolkit/lxxyx-wt-init/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/bahayonghang/my-ai-cli-toolkit/lxxyx-wt-init"><img src="https://agentmods.dev/badge/skills/bahayonghang/my-ai-cli-toolkit/lxxyx-wt-init.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 | $0.00061 | $0.00666 |
| Opus 5 | $0.00030 | $0.00333 |
| Sonnet 5 | $0.00012 | $0.00133 |
| Haiku 4.5 | $0.00006 | $0.00067 |
Grade A, and why
wt-init 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 7d 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
wt-init
根据任务描述自动重命名当前 Git 分支，使用 type/description 命名规范。
工作流程
- 获取任务描述：询问用户当前要进行的任务（如果用户未提供）
- 解析分支类型：从任务描述中推断分支类型
- 生成分支名：转换为 type/description 格式
- 检查分支状态：确认是否有未提交的更改
- 重命名分支：使用
git branch -m重命名当前分支
分支类型映射
| 关键词 | 分支类型 | 示例 |
|---|---|---|
| 修复、fix、bug、解决 | fix |
fix/login-error |
| 功能、feat、新增、添加 | feat |
feat/user-auth |
| 重构、refactor、重构 | refactor |
refactor/api-client |
| 文档、docs、文档 | docs |
docs/readme-update |
| 样式、style、UI、样式 | style |
style/button-color |
| 测试、test、测试 | test |
test/login-flow |
| 性能、perf、优化 | perf |
perf/query-cache |
| 其他 | chore |
chore/dependency-update |
分支名生成规则
- 提取中文/英文关键词，转换为小写
- 将空格、下划线替换为短横线
- 移除多余短横线和特殊字符
- 格式：
{type}/{description}
示例
| 用户输入 | 生成分支名 |
|---|---|
| 修复登录页面bug | fix/login-page-bug |
| 添加用户认证功能 | feat/user-auth |
| 更新 README 文档 | docs/readme-update |
| 重构 API 客户端 | refactor/api-client |
执行步骤
# 1. 获取当前分支名
git branch --show-current
# 2. 检查是否有未提交的更改
git status --porcelain
# 3. 如有未提交更改，先询问用户是否提交
# 用户确认后：git add -A && git commit -m "chore: save work before branch rename"
# 4. 重命名分支
git branch -m <new-branch-name>
# 5. 输出确认信息
注意事项
- 如果当前在 main/master 分支，会提示用户确认
- 如果分支已推送到远程，会提示需要手动更新远程分支
- 如果分支名已存在，会自动添加数字后缀（如 feat/login-2）
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.
- 7d ago First seen · 70 lines · 61 tokens per session scan A 7d7528aecb06
wt-init is a skill published in the GitHub repository bahayonghang/my-ai-cli-toolkit (16 stars, last pushed 2d ago), licensed MIT. It adds 61 tokens to every session and 666 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 2026-09-04.
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