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 Dong90/oh-my-taiyiforge --skill taiyi-reanalyzegit clone --depth 1 https://github.com/Dong90/oh-my-taiyiforgeWrote 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/dong90/oh-my-taiyiforge/taiyi-reanalyze)<a href="https://agentmods.dev/skills/dong90/oh-my-taiyiforge/taiyi-reanalyze"><img src="https://agentmods.dev/badge/skills/dong90/oh-my-taiyiforge/taiyi-reanalyze/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/dong90/oh-my-taiyiforge/taiyi-reanalyze"><img src="https://agentmods.dev/badge/skills/dong90/oh-my-taiyiforge/taiyi-reanalyze.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 | $0.00046 | $0.01343 |
| Opus 5 | $0.00023 | $0.00672 |
| Sonnet 5 | $0.00009 | $0.00269 |
| Haiku 4.5 | $0.00005 | $0.00134 |
Grade A, and why
taiyi-reanalyze 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 13d 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 — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.
taiyi-reanalyze
目的
当需求文档写了一段时间后,团队对需求的理解可能已经变化。这个技能重新阅读 CHANGE.md 和 REQUIREMENT.md,找出其中的矛盾、缺口和模糊点,产出一份「二次理解」报告。
何时使用
reanalyze 跑在 requirement 写完之后、dev 开始之前:
change → requirement → /taiyi:sp reanalyze(重新理解)
│ │
▼ ▼ 产出 REANALYZE.md
design → ui-design → task → dev → ...
│
缺口/歧义 → 回到 requirement 补 AC
| 信号 | 建议 |
|---|---|
| change 写完后放了一周以上才开始 dev | 必跑 |
| 多人协作,中间有人改过 scope | 必跑 |
| requirement 写到一半觉得不对劲 | 必跑 |
| review 阶段发现设计和需求对不上 | 必跑 |
| 刚写完 change,记忆还新鲜 | 跳过 |
何时不用
- 刚写完 change 和 requirement,记忆清晰
- 只有 1-2 个 AC 的简单 change
- micro/nano profile 的变更(文档太少,没东西可重分析)
输入
.taiyi/changes/<slug>/CHANGE.md.taiyi/changes/<slug>/REQUIREMENT.md- (可选)
CONTEXT.md代码情报 - (可选)上游 README/PRD
输出
一份重新分析报告,写到 .taiyi/changes/<slug>/REANALYZE.md 或直接在聊天里展示。
格式:
# Reanalyze: <slug>
> 重分析日期 · 原始 change 日期 · 间隔 X 天
## 重新理解
用一句话重述这个 change 要解决什么问题。
## 一致性检查
| 检查项 | 状态 | 说明 |
|--------|------|------|
| CHANGE 和 REQUIREMENT 的范围一致 | ✅ | |
| AC 覆盖了所有 scope 条目 | ❌ | 缺少「权限校验」的 AC |
| 设计方案的假设在代码情报中成立 | ⚠️ | CONTEXT 标记了风险区 |
| 没有自相矛盾的 AC | ✅ | |
## 缺口
列出 REQUIREMENT 中应该覆盖但没覆盖的内容:
1. **缺口 1**:XXX 场景没有 AC
2. **缺口 2**:未定义错误处理策略
## 歧义
列出表述不清、有多种理解的内容:
1. **歧义 1**:「支持多种登录方式」—— 具体哪几种?oauth 还是手机号?
2. **歧义 2**:「高性能」—— 量化标准是什么?
## 建议
- 补充 AC:「XXX」
- 向产品确认:「YYY」
- 缩小 scope:「ZZZ 放到下一期」
执行步骤
1. 重新阅读
把 CHANGE.md 和 REQUIREMENT.md 当成第一次读:
- 用一句话概括这个 change 的核心问题
- 列出你理解中的关键约束(时间、依赖、不可碰的部分)
2. 交叉校验
| 核对 | 方法 |
|---|---|
| CHANGE vs REQUIREMENT | 每个 scope 条目在 REQUIREMENT 中有对应的 AC 吗? |
| AC 完整性 | happy path / error path / edge case 都覆盖了吗? |
| 假设 vs 现实 | CONTEXT.md 中的代码现实是否推翻了设计假设? |
| 自洽性 | AC 之间有没有互相矛盾的? |
3. 找缺口
重点关注:
- 错误处理:每个 AC 的失败场景定义了吗?
- 非功能需求:性能、安全、可观测性?
- 边界条件:空输入、超大数据、并发?
4. 找歧义
- 模糊词:「支持」「优化」「完善」→ 要求具体化
- 未定义术语:「用户」「订单」→ 确认定义
- 隐含假设:「登录后才能用」→ 显式写出来
5. 产出建议
- 需要补充的 AC
- 需要向上游确认的问题
- 建议缩小 scope 的部分
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.
- 13d ago First seen · 151 lines · 46 tokens per session scan A 14a308514d93
taiyi-reanalyze is a skill published in the GitHub repository Dong90/oh-my-taiyiforge (888 stars, last pushed 5d ago), licensed MIT. It adds 46 tokens to every session and 1,343 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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