同步：nuwa技能优化、脚本创作技能完善、提示词vs素材库分析及memory日志更新
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@@ -101,9 +101,112 @@ def check_primary_sources(content: str) -> tuple[bool, str]:
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return passed, f"一手来源占比: {primary}/{total} ({ratio:.0%}) {'✅' if passed else '❌ (应>50%)'}"
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def check_terminology_adaptation(content: str) -> tuple[bool, str]:
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"""检查面向用户交付物中是否有内部术语残留。
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检查section标题和正文，确保没有学术黑话。"""
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# SKILL.md文件是给AI agent用的，保留术语是合理的
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is_skill_file = bool(re.search(r'^---\s*\nname:\s*', content, re.MULTILINE))
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if is_skill_file:
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return True, "SKILL.md文件（给AI agent用），术语保留 ✅"
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# 完整的禁用术语列表（含正文检查）
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jargon_terms = [
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'心智模型', '决策启发式', '表达DNA', '诚实边界',
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'内在张力', '智识谱系', '反模式',
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'三重验证', '跨域复现', '生成力', '排他性'
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]
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# 检查section标题（## 开头的行）
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section_headers = re.findall(r'^##\s+.*$', content, re.MULTILINE)
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jargon_in_headers = []
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for header in section_headers:
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for term in jargon_terms:
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if term in header:
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jargon_in_headers.append(f'标题"{header.strip()}"含"{term}"')
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# 检查正文中的术语残留（排除在代码块/引用块中的情况）
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jargon_in_body = []
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lines = content.split('\n')
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in_code_block = False
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for i, line in enumerate(lines, 1):
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if line.strip().startswith('```'):
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in_code_block = not in_code_block
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continue
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if in_code_block:
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continue
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for term in jargon_terms:
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if term in line:
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# 排除在"禁用词列表"中提到术语本身的情况
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if '禁用' in line or '不出现' in line or '❌' in line:
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continue
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jargon_in_body.append(f'第{i}行含"{term}": {line.strip()[:60]}...')
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all_issues = jargon_in_headers + jargon_in_body[:5] # 最多显示5条正文问题
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if all_issues:
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return False, f"❌ 术语残留: {'; '.join(all_issues[:5])}"
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return True, "面向用户交付物，无术语残留 ✅"
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def check_persona_card_format(content: str) -> tuple[bool, str]:
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"""检查短视频人设卡是否符合12段标准结构。
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当文件名包含'人设'或'账号卡片'时触发此检查。"""
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# 判断是否是人设卡
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if not re.search(r'人设|账号卡片|persona', content[:200], re.IGNORECASE):
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return True, "非人设卡文件（跳过12段结构检查）"
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expected_sections = [
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'账号核心定位', '账号内容基因', '角色原型库', '情绪结构',
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'视听风格', '五大内容打法', '内容规则', '系列内容规划',
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'差异化壁垒', '红线清单', '当前需解决的问题', '人设底线'
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]
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found_sections = []
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missing_sections = []
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for section in expected_sections:
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if re.search(rf'##\s+.*{section}', content):
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found_sections.append(section)
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else:
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missing_sections.append(section)
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if missing_sections:
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return False, f"❌ 缺少段落: {', '.join(missing_sections)}"
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return True, f"12段结构完整 ✅ ({len(found_sections)}/12)"
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# 检查学术化表达
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def check_academic_writing(content: str) -> tuple[bool, str]:
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"""检查正文中是否有学术化表达（人设卡场景）。"""
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# SKILL.md文件不检查
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is_skill_file = bool(re.search(r'^---\s*\nname:\s*', content, re.MULTILINE))
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if is_skill_file:
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return True, "SKILL.md文件（跳过学术化检查）"
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academic_patterns = [
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'认知框架', '降维打击', '范式', '策略性', '结构化',
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'方法论体系', '底层逻辑架构', '思维范式', '认知操作系统'
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]
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found = []
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lines = content.split('\n')
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in_code_block = False
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for i, line in enumerate(lines, 1):
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if line.strip().startswith('```'):
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in_code_block = not in_code_block
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continue
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if in_code_block:
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continue
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for pattern in academic_patterns:
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if pattern in line:
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found.append(f'第{i}行: "{pattern}"')
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if found:
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return False, f"❌ 学术化表达: {'; '.join(found[:3])}"
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return True, "无学术化表达 ✅"
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def main():
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if len(sys.argv) < 2:
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print("用法: python3 quality_check.py <SKILL.md路径>")
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print("用法: python3 quality_check.py <文件路径>")
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sys.exit(1)
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skill_path = Path(sys.argv[1])
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@@ -113,16 +216,40 @@ def main():
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content = skill_path.read_text(encoding='utf-8')
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checks = [
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("心智模型数量", check_mental_models),
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("模型局限性", check_limitations),
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("表达DNA辨识度", check_expression_dna),
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("诚实边界", check_honest_boundary),
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("内在张力", check_tensions),
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("一手来源占比", check_primary_sources),
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]
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# 判断文件类型
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is_skill_file = bool(re.search(r'^---\s*\nname:\s*', content, re.MULTILINE))
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is_persona_card = bool(re.search(r'人设|账号卡片|persona', content[:500], re.IGNORECASE))
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if is_skill_file:
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# SKILL.md文件：运行全部检查（内部术语是合理的）
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checks = [
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("心智模型数量", check_mental_models),
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("模型局限性", check_limitations),
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("表达DNA辨识度", check_expression_dna),
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("诚实边界", check_honest_boundary),
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("内在张力", check_tensions),
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("一手来源占比", check_primary_sources),
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("术语通俗化", check_terminology_adaptation),
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]
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file_type = "SKILL.md（AI agent Skill文件）"
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elif is_persona_card:
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# 人设卡：只运行面向用户的检查项
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checks = [
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("术语通俗化", check_terminology_adaptation),
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("人设卡12段结构", check_persona_card_format),
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("学术化表达", check_academic_writing),
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]
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file_type = "人设卡（面向编导/创作者）"
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else:
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# 其他面向用户的文档
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checks = [
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("术语通俗化", check_terminology_adaptation),
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("学术化表达", check_academic_writing),
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]
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file_type = "面向用户文档"
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print(f"质量检查: {skill_path.name}")
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print(f"文件类型: {file_type}")
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print("=" * 50)
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passed_count = 0
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