analyze-zhihu-answer — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited analyze-zhihu-answer (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.
对一个具体的知乎回答进行深度分析,阅读全文并解读评论区讨论。
用户输入回答 URL
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├─ Step 1: 解析 URL,提取 question_id 和 answer_id
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├─ Step 2: 获取回答全文
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├─ Step 3: 获取评论区内容
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├─ Step 4: 获取所属问题的上下文(可选)
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└─ Step 5: 输出分析报告从用户输入中提取 ID:
https://www.zhihu.com/question/12345678/answer/87654321→ question_id = 12345678, answer_id = 87654321
get_answer_detail(question_id="12345678", answer_id="87654321")获取:
向用户简要汇报:
回答:{问题标题}
作者:{作者} — {作者简介}
{点赞数} 赞 · {评论数} 条评论
正在读取评论区...get_comments(url="https://www.zhihu.com/question/12345678/answer/87654321", count=20)获取评论列表,包含:
分析评论时关注:
如果评论数很多(>50),可以分批获取或只看前 20 条最新评论。
如果需要理解回答在整个问题讨论中的位置:
get_question_detail(question_id="12345678")了解:
仅在以下情况执行:
## 回答分析:{问题标题}
### 回答概览
- **作者**:{作者} — {作者简介}
- **数据**:{点赞数} 赞 · {评论数} 条评论
- **时间**:{发布时间}
- **链接**:{URL}
### 核心观点
1. {要点 1}
2. {要点 2}
3. {要点 3}
### 论证方式
- {作者用了什么方式支撑观点:数据、案例、逻辑推理、个人经历等}
### 评论区分析
**整体态度**:{支持为主 / 反对为主 / 两极分化 / 讨论为主}
**支持方(约 X 条)**:
- {代表性支持评论摘要}
**反对方(约 X 条)**:
- {代表性反对评论摘要}
- {反对的主要理由}
**补充信息**:
- {评论中提供的有价值补充}
**质疑与纠错**:
- {评论中指出的错误或争议点}
### 可信度评估
- 论据是否充分
- 评论区是否有有效反驳
- 作者背景是否相关~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.