Borrowing it
Nothing to install: this file belongs to SilenceInsect/AIDocxWorkFlow. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/SilenceInsect/AIDocxWorkFlow/main/.cursor/skills/aidocx-s1-5-clarification/SKILL.mdgit clone --depth 1 https://github.com/SilenceInsect/AIDocxWorkFlowWrote 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/silenceinsect/aidocxworkflow/aidocx-s1-5-clarification)<a href="https://agentmods.dev/skills/silenceinsect/aidocxworkflow/aidocx-s1-5-clarification"><img src="https://agentmods.dev/badge/skills/silenceinsect/aidocxworkflow/aidocx-s1-5-clarification/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/silenceinsect/aidocxworkflow/aidocx-s1-5-clarification"><img src="https://agentmods.dev/badge/skills/silenceinsect/aidocxworkflow/aidocx-s1-5-clarification.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 | $0.00094 | $0.02767 |
| Opus 5 | $0.00047 | $0.01384 |
| Sonnet 5 | $0.00019 | $0.00553 |
| Haiku 4.5 | $0.00009 | $0.00277 |
Grade A, and why
aidocx-s1-5-clarification 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 12d 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 — 244 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AIDocxWorkFlow S1.5 — 需求澄清与准出许可
独立子阶段：在 S1 评审通过后、S2 需求拆解前执行。 上游材料（clarification_checklist.md + 终版需求.md）审查合格后开始。
阶段入口
触发：用户填写完 clarification_checklist.md 后告知 AI，或 AI 感知到清单已填写。
澄清清单交互方式
用户可通过以下任一方式填写澄清清单：
| 方式 | 说明 | 操作 |
|---|---|---|
| A. 链接跳转 | 点击跳转链接，直接在 IDE 中打开文件编辑 | ✅ 推荐 |
| B. 对话确认 + LLM 推导 | 用户给出关键词/方向，AI 推导补充完整内容 | ✅ 推荐（最快） |
| C. 对话内表格 | 在对话中用 AskQuestion 表格填写（限简单字段） | 适用于简短字段 |
| D. 直接粘贴 | 用户自行填写文件后说"已填写" | 适用于复杂内容 |
方式 A 操作步骤：
1. AI 输出：点击下方链接跳转编辑
2. AI 输出：[跳转到 clarification_checklist.md](file:///Users/gleon/Documents/TestDev/AIDocxWorkFlow/workflow_assets/<req_name>/<version>/「S1 需求评审」/clarification_checklist.md)
3. 用户：点击链接 → 文件在 IDE 中打开 → 填写 → 保存
4. AI：读取文件 → 验证 P0 填写 → 执行 S1.5
方式 B 操作步骤（推荐，最快）：
1. AI 列出 P0 问题清单（表格或列表）
2. 用户给出关键词/方向（如"LLM定"/"游戏币用内建系统"/"VIP链式开通永久"）
3. AI 基于关键词推导完整内容，填充到 clarification_checklist.md
4. AI 输出 exit_permission.json → S2 可执行
⚠️ 方式 B 约束：仅适用于 P0 问题。AI 推导内容需在输出中标注来源（"LLM 推导补充"或"用户确认"）。
前置材料
| # | 材料 | 路径 | 说明 |
|---|---|---|---|
| 1 | clarification_checklist.md | workflow_assets/<req_name>/<version>/「S1 需求评审」/ |
唯一验收对象：人工填写 P0/P1/P2 处理方案；LLM 补齐缺口（标注 [LLM 推导]） |
| 2 | 终版需求.md（草稿） | workflow_assets/<req_name>/<version>/「S1 需求评审」/ |
S1.5 完善后的输出 |
| 3 | review_report.md | workflow_assets/<req_name>/<version>/「S1 需求评审」/ |
S1 质量评价，参考不验收 |
交互原则：clarification_checklist 以人工填写为主；空白 / 占位内容由 LLM 补齐。
材料缺失时：
- 若
clarification_checklist.md未填写 → 提示用户先填写 P0 项 - 若 P0 项未填写 → 提示用户必须填写 P0 项
核心职责
- 完善终版需求.md：基于人工填写的处理方案，补充缺失的业务规则
- 生成准出许可（exit_permission.json）：输出质量评价和准出判定，供 S2 读取
- 更新 clarification_checklist.md 状态：标记为已处理
LLM 补齐机制
前提：人工填写是主要来源；LLM 在人工填写的基础上补齐缺口。 约束：LLM 推导内容必须标注来源（
[LLM 推导]），不得冒充人工决策。
触发条件：clarification_checklist 中存在以下情况时，AI 自动补齐：
- P0/P1/P2 处理方案为空或为占位文字
- P1/P2 未填写（LOW 模式下 P1/P2 可选，但 LLM 应给出推导建议供人工确认）
- 强付费项 3 段缺失时，LLM 推导合理的保底规则
补齐方式：
1. 识别空白 / 占位处理方案
2. 基于终版需求.md 中的上下文，LLM 推导合理的处理方案
3. 标注 [LLM 推导] 前缀
4. 输出时提示人工确认（或标记为 [待确认]）
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.
- 12d ago First seen · 244 lines · 94 tokens per session scan A 8bdb6725eaea
aidocx-s1-5-clarification is a skill published in the GitHub repository SilenceInsect/AIDocxWorkFlow (2 stars, last pushed 1mo ago), licensed MIT. It adds 94 tokens to every session and 2,767 once invoked, about $0.0005 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 2026-08-31.
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