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-s8-self-iteration/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-s8-self-iteration)<a href="https://agentmods.dev/skills/silenceinsect/aidocxworkflow/aidocx-s8-self-iteration"><img src="https://agentmods.dev/badge/skills/silenceinsect/aidocxworkflow/aidocx-s8-self-iteration/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-s8-self-iteration"><img src="https://agentmods.dev/badge/skills/silenceinsect/aidocxworkflow/aidocx-s8-self-iteration.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 | $0.00121 | $0.04361 |
| Opus 5 | $0.00060 | $0.02181 |
| Sonnet 5 | $0.00024 | $0.00872 |
| Haiku 4.5 | $0.00012 | $0.00436 |
Grade A, and why
aidocx-s8-self-iteration 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 9d 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 — 313 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AIDocxWorkFlow S8 — 自迭代
独立阶段：可单独调用。上游材料（S7 review_report.json / review_snapshot.json）审查合格后开始，失败写失败报告。
⚠️ 模块定义见
.cursor/MODULES.md（项目级唯一真相源）。 本文件不重写模块表。涉及"模块归属错误"分析时，按MODULES.md§1 总表 + §3.5 交叉场景判定规则 + §4.5-§4.12 各模块边界 + §9 兼容映射综合判定。HINT vs UI 边界误标是历史 S5 误标高发区（
SYS_MSG/RED_DOT旧枚举出现），自迭代时需重点关注。
阶段入口
触发：/aidocx-s8-self-iteration 或粘贴 S7 审查报告
前置材料：
- S7 审查报告：
workflow_assets/<req_name>/<version>/「S6 测试用例生成」/review_report.json - S5 test_points.json（用于 S4 覆盖率分析）：
workflow_assets/<req_name>/<version>/「S5 测试点生成」/test_points.json - S6 test_cases.json：
workflow_assets/<req_name>/<version>/「S6 测试用例生成」/test_cases.json - S4 business_flow.md（用于风险点提取）：
workflow_assets/<req_name>/<version>/「S4 流程图导出」/business_flow.md - 执行反馈日志（可选）：
workflow_assets/feedback_logs/
材料缺失时：生成失败报告，停止 S8。
§1.4 LLM 必读材料（阶段前置）
开始根因分析前，必须先 Read 以下材料。禁止凭印象直接生成。
| # | 材料 | 路径 | 必读原因 |
|---|---|---|---|
| 1 | 8 模块总表 | .cursor/MODULES.md（§1 总表） |
缺陷根因最终落到模块 × 类型的组合；缺陷模式按模块统计 |
| 2 | 模块边界区分 | .cursor/MODULES.md（§4 各模块 O_boundary.md） |
判断 S5 TP 模块归属是否正确；根因分析的起点 |
| 3 | S7 review_report | workflow_assets/<req_name>/<version>/「S6 测试用例生成」/review_report.json |
所有审查结论的来源；按 reviewer_a / reviewer_b / recommendations 结构追溯 |
| 4 | S5 test_points | workflow_assets/<req_name>/<version>/「S5 测试点生成」/test_points.json |
S5 层缺陷追溯的起点 |
| 5 | S4 business_flow | workflow_assets/<req_name>/<version>/「S4 流程图导出」/business_flow.md |
异常决策树和风险点清单是 S5 缺 TP 的根因来源 |
| 6 | S6 test_cases | workflow_assets/<req_name>/<version>/「S6 测试用例生成」/test_cases.json |
S6 层缺陷追溯的参考 |
§5 一致性检查（SKILL ↔ Rule 自动对齐）
触发时机：本节读取后、正式执行前。仅执行一次（同一次对话中多次触发本阶段，不重复检查）。
检查类型：A = 必读材料对齐 / B = 输出路径对齐 / C = 字段名对齐 / D = 模块枚举对齐
from ai_workflow.consistency_check import run_consistency_check
result = run_consistency_check(stage="s8")
if not result["passed"]:
print(f"[一致性检查] 发现 {len(result['issues'])} 个问题（见日志）")
检查结果不阻断阶段执行，仅输出到日志供人工参考。
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.
- 9d ago First seen · 313 lines · 121 tokens per session scan A 1986f081472b
aidocx-s8-self-iteration is a skill published in the GitHub repository SilenceInsect/AIDocxWorkFlow (2 stars, last pushed 1mo ago), licensed MIT. It adds 121 tokens to every session and 4,361 once invoked, about $0.0006 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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