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 astordu/qoderharness --skill git-commitgit clone --depth 1 https://github.com/astordu/qoderharnessWrote 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/astordu/qoderharness/git-commit)<a href="https://agentmods.dev/skills/astordu/qoderharness/git-commit"><img src="https://agentmods.dev/badge/skills/astordu/qoderharness/git-commit/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/astordu/qoderharness/git-commit"><img src="https://agentmods.dev/badge/skills/astordu/qoderharness/git-commit.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 | $0.00045 | $0.00762 |
| Opus 5.5 | $0.00018 | $0.00305 |
| Sonnet 5.5 | $0.00009 | $0.00152 |
| Haiku 4.5 | $0.00005 | $0.00076 |
Grade A, and why
git-commit 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 1mo 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
Git Commit
分析暂存区变更，生成 Conventional Commits 格式的中文提交信息并提交。
工作流程
1. 检查变更
git status
git diff --stat
git diff --cached --stat
git diff
git diff --cached
- 若有未暂存的变更，自动执行
git add将所有变更文件加入暂存区 - 若暂存区和工作区均无变更，提示用户无可提交内容
2. 生成 commit message
根据变更内容推断 type 和 scope，用中文编写描述：
type 枚举（必须使用以下之一）：
| type | 含义 |
|---|---|
| feat | 新功能 |
| fix | 缺陷修复 |
| docs | 文档变更 |
| style | 格式调整（不影响逻辑） |
| refactor | 重构（非新功能、非修复） |
| perf | 性能优化 |
| test | 测试相关 |
| chore | 构建/工具变更 |
scope：从变更涉及的模块推断，如 auth、api、ui、db。跨模块时省略 scope。
格式：
<type>(<scope>): <中文简述>
<body: 可选，补充说明>
示例：
feat(heart-rate): 添加心率手动录入功能
- 新增录入 Modal 组件
- 添加 POST /heart-rate 接口
- 编写 service 层 TDD 测试
fix(api): 修复仪表盘数据聚合查询超时
添加索引并优化 SQL 查询逻辑
refactor: 将 schemas 目录重命名为 dtos
3. 直接提交
- 将生成的 commit message 展示给用户
- 直接执行提交，无需等待用户确认
- 必须分两步执行：先单独执行
git add，再单独执行git commit（不要用&&合并为一条命令），确保 PreToolUse hook 能正确检测暂存区内容 - 执行提交命令：
# 第一步：暂存文件（单独执行）
git add <files>
# 第二步：提交（单独执行）
git commit -m "<commit message>"
- 若 message 含多行，使用 heredoc：
git commit -m "<首行>" -m "<body 内容>"
⚠️ 重要：git add 和 git commit 必须作为两次独立的 run_in_terminal 调用，因为 PreToolUse hook 在命令执行前触发，合并执行时暂存区仍为空，hook 无法检测到已暂存的文件。
4. 禁止事项
- 自动执行
git add将变更加入暂存区，无需用户手动操作 - 不要 使用
--no-verify - 不要 使用
--force - 不要 执行
git push，除非用户明确要求 - 不要 修改 git config
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.
- 1mo ago First seen · 100 lines · 45 tokens per session scan A 74dd520777ea
git-commit is a skill published in the GitHub repository astordu/qoderharness (38 stars, last pushed 23d ago), licensed MIT. It adds 45 tokens to every session and 762 once invoked, about $0.0002 per session on Opus 5.5. 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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