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 Today-Hbw/claude-code-dev-workflow --skill qa-recordgit clone --depth 1 https://github.com/Today-Hbw/claude-code-dev-workflowWrote 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/today-hbw/claude-code-dev-workflow/qa-record)<a href="https://agentmods.dev/skills/today-hbw/claude-code-dev-workflow/qa-record"><img src="https://agentmods.dev/badge/skills/today-hbw/claude-code-dev-workflow/qa-record/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/today-hbw/claude-code-dev-workflow/qa-record"><img src="https://agentmods.dev/badge/skills/today-hbw/claude-code-dev-workflow/qa-record.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 | $0.00035 | $0.00598 |
| Opus 5.5 | $0.00014 | $0.00239 |
| Sonnet 5.5 | $0.00007 | $0.00120 |
| Haiku 4.5 | $0.00003 | $0.00060 |
Grade A, and why
qa-record 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
问答记录 · 输出格式
你的任务
将 grill 阶段（步骤 2）的所有提问和回答整理成结构化的 问答记录.md，写入输出目录。
输出格式
参考以下模板生成 问答记录.md：
# <项目名称>（<负责人>）· 开发前问答记录
> 记录日期：<日期>
> 范围：<本次涉及的任务列表>
> 形式：开发前对不确定点逐条对齐（grill），下为最终结论。
---
## 一、<任务 1 名称>（IDxxxxxxx）
**Q1 <问题描述>？**
A：<回答内容>
**Q2 <问题描述>？**
A：<回答内容>
**缺口：<未解决的问题描述>**
A：<临时方案或待确认说明>
---
## 二、<任务 2 名称>（IDxxxxxxx）
**Q3 <问题描述>？**
A：<回答内容>
...
---
## 三、UI 调整（如有）
- <UI 相关的约定>
- <配色、字段顺序等>
格式要求
- Q/A 配对：每个问题用
**Q<N> <描述>？**格式，回答用A：<内容> - 缺口标记：用户暂时无法回答的，用
**缺口：<描述>**标记 - 按任务分组：每个任务一个小节，用
## 一、## 二、编号 - UI 单独分节：UI 相关的约定单独放一节
- 编号连续：Q 的编号在整个文档中连续递增
- 头部信息：包含项目名称、负责人、日期、范围
- 「负责人」取第 0 步解析出的个人标识（
person）
- 「负责人」取第 0 步解析出的个人标识（
写入规则
- 文件路径：
<session_dir>/问答记录.md - 编码：UTF-8
- 如果文件已存在，询问用户是覆盖还是追加
注意事项
- 只记录有结论的问答，不要记录闲聊或无关内容
- 回答要简洁准确，不要长篇大论
- 如果用户给了代码示例或 SQL，原样保留
- 缺口要标记清楚，方便后续追踪
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 · 76 lines · 35 tokens per session scan A 5664afab43e0
qa-record is a skill published in the GitHub repository Today-Hbw/claude-code-dev-workflow (23 stars, last pushed 2mo ago), licensed MIT. It adds 35 tokens to every session and 598 once invoked, about $0.0001 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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