content-enrich — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited content-enrich (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
采集进来的转录稿、文章往往是大段原始文本，没人愿意回头看。这个 skill 给任意采集产物 自动补上可快速消化的元信息——它是「加工层」的通用能力，配合仓库里所有采集 skill 使用。
# 零 pip 依赖（仅 Python 标准库）
export DEEPSEEK_API_KEY="your-api-key" # 必需，用于提炼python scripts/enrich.py 某篇笔记.md # 就地增强单篇
python scripts/enrich.py ./vault/外部输入/ # 批量增强整个目录下的 .md
python scripts/enrich.py 某篇.md --output ./out # 不改原文件，输出到 out/
python scripts/enrich.py 某篇.md --force # 已加工过的重新加工在原 Markdown 上（原内容完整保留）：
summary（一句话总结）、domain（领域）、auto_tags（标签列表）、enriched: true幂等：默认跳过已加工（enriched: true）的文件，可 --force 重做。
auto_tags / domain 进 frontmatter，Obsidian Dataview 可直接按标签 / 领域聚合采集（任意 *-ingest / *-transcribe skill）
→ content-enrich（补摘要 + 要点 + 标签）
→ knowledge-base-management 入库（按 auto_tags / domain 聚合检索）~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.