Cite bound content generator
Skill EthanYoQ/Skill-hub/skills/10-business-industry/cite-bound-content-generator
Reusable AI agent skills for Codex, Claude Code etc. — AI coding workflows, SKILL.md templates, and automation practices. 面向 Codex、Claude Code等agents 的可复用 AI Agent Skill 技能库：AI 编程工作流、SKILL.md 模板与自动化实践。
npx -y skills add EthanYoQ/Skill-hub --skill cite-bound-content-generatorAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 4 stars4 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
What its author says it does
Copied from the file, not written here
Phase 4 Turn 1 of disease-market-sizing-orchestration. Generates report HTML with mandatory citation anchors per fact claim. Reads contract + staging + sources/. Every drug/treatment/stat/recommendation MUST carry [pmid:.../guideline:.../nct:...] anchor that resolves to an actual file in sources/. NEVER hardcode drug names or numerical claims. Use AFTER evidence recall (phase 3), BEFORE content-verification-layer (Turn 2).
The file declares its own license as Cite-or-Block strict (P0 iron law, see ../../CLAUDE.md). That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.
SKILL.md
3.4 KB, as published. Nobody here has run it
Cite-Bound Content Generator (Phase 4 Turn 1)
LLM Prompt Constraints (enforced inside ask_llm callback)
"You write report HTML for the disease/region described in the contract. Every fact claim (drug name, brand name, dosage, number, recommendation grade, epidemiology, mechanism) MUST carry a citation anchor in one of these forms:
[guideline:<source_id>:<locator>]/[pmid:<id>:<locator>]/[nct:<id>:<locator>]. The source_id of every anchor MUST appear in the provided sources_summary. Sentences without an anchor for a fact claim are forbidden — your report will be rejected."
IFI 章节强制结构(每次 compose 必读 — R1 by Phase-2-Quality-Fix)
参考完整模板:references/ifi-section-template.md.
输出 html 必须含以下结构 (composer.py _assert_ifi_structure 在 enforce_ifi=True 时强制,违者抛 ComposeError 含所有缺失项 + orchestrator retry loop 反馈给 LLM 一次性补齐):
- 7 个
<section data-section="...">marker:exec-summary/epidemiology/treatment-landscape/market-sizing/competitive-dynamics/lp-framework/appendix market-sizing内三<section data-subsection="tam|sam|som">子段<div class="mermaid">...</div>决策树 block ≥ 4 张- LP 提及次数 ≥ 50(全文
\b(?:LP|策略干预点|leverage point)\b) - 主报告 text 长度 ≥ 4000 字(去 html tag)
- 每数字 + 每事实声明带 citation 锚点(P0 铁律,无锚点 = 凭记忆 = 阻断)
sub-page 输出指令(R3b by Phase-2-Quality-Fix · 每 cohort 独立 .html)
每 cohort(基于 staging.dimensions 的 sub_cohorts)用 <sub-page slug="cohort-slug">...</sub-page> 包裹独立段:
<sub-page slug="1l-treatment">
<section class="cohort-page" data-cohort="1l-treatment">
<h1>1L 治疗 cohort 深度分析</h1>
...
</section>
</sub-page>
composer._parse_sub_pages 解析后, ComposedReport.sub_pages: list[dict {slug, html}] 经 _persist_sub_pages 落盘成 output/<disease-slug>/page_<cohort-slug>.html,主报告通过 <a href="page_<slug>.html"> 链接。
Functions
-
compose(slug_dir, ask_llm, previous_violations=None, *, enforce_ifi=False) -> (html_path, idx_path)enforce_ifi=True(production) → 强制 IFI 结构,违者 ComposeErrorenforce_ifi=False(default, fake-LLM tests) → 只查 anchor 解析,不查结构
-
_parse_sub_pages(raw_html) -> (main_html, sub_pages)— 抽<sub-page slug="...">包裹的子页 -
_extract_toc_anchors(html) -> list[str]— 从 main_html H2/H3 id 抽 TOC 浮动锚点 -
ComposedReport(main_html, sub_pages, toc_anchors, claims, raw_html)— 升级输出 schema dataclass
P0 Watchdog
tests/test_cite_bound_content_generator.py::test_compose_p0_watchdog —
grep skill source for forbidden hardcoded patterns. CI blocks on hit.