analyze-zhihu-answer

analyze-zhihu-answer is a skill for Claude Code, Codex from alizeeblack-code/zhihu-mcp. It costs 49 tokens per session (1,095 once invoked), scanned A, original, MIT.

A tool for deeply analysing a Zhihu answer, where Zhihu is a Chinese question-and-answer platform. Given an answer URL, it reads the answer, gathers author details and comments, and summarises the discussion.

In plain words
What is it for?
Use it to review a specific Zhihu answer, summarise its main claims and comment feedback, and identify supporting evidence, objections, or disputed points.
Why use it?
It saves you from reading a long answer and its comment section separately. It helps compare support and opposition, find corrections, and assess disagreement or credibility.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to review a specific Zhihu answer, summarise its main claims and comment feedback, and identify supporting evidence, objections, or disputed points.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/alizeeblack-code/zhihu-mcp/analyze-zhihu-answer
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add alizeeblack-code/zhihu-mcp --skill analyze-zhihu-answer
Clone the repo
git clone --depth 1 https://github.com/alizeeblack-code/zhihu-mcp

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for analyze-zhihu-answer

README.md
[![agentmods](https://agentmods.dev/badge/skills/alizeeblack-code/zhihu-mcp/analyze-zhihu-answer/github.svg)](https://agentmods.dev/skills/alizeeblack-code/zhihu-mcp/analyze-zhihu-answer)
Your own site
<a href="https://agentmods.dev/skills/alizeeblack-code/zhihu-mcp/analyze-zhihu-answer"><img src="https://agentmods.dev/badge/skills/alizeeblack-code/zhihu-mcp/analyze-zhihu-answer/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.

agentmods 80×15 button for analyze-zhihu-answer

Your own site · 80×15
<a href="https://agentmods.dev/skills/alizeeblack-code/zhihu-mcp/analyze-zhihu-answer"><img src="https://agentmods.dev/badge/skills/alizeeblack-code/zhihu-mcp/analyze-zhihu-answer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,095 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00049 $0.01095
Opus 5 $0.00024 $0.00548
Sonnet 5 $0.00010 $0.00219
Haiku 4.5 $0.00005 $0.00110

Measured 9d ago against content hash 7cbf187ba2e8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

analyze-zhihu-answer 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.

skills/analyze-zhihu-answer/SKILL.md · 150 lines

What it actually says

知乎回答深度分析

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。

适用场景

  • 用户给出一个知乎回答链接,想深入了解内容和评论区反应
  • 用户说"帮我看看这个回答"、"这个回答评论区怎么说"
  • 分析某个观点的支持/反对情况
  • 评估一个回答的可信度和争议程度

工作流程

用户输入回答 URL
    │
    ├─ Step 1: 解析 URL,提取 question_id 和 answer_id
    │
    ├─ Step 2: 获取回答全文
    │
    ├─ Step 3: 获取评论区内容
    │
    ├─ Step 4: 获取所属问题的上下文(可选)
    │
    └─ Step 5: 输出分析报告

Step 1: 解析 URL

从用户输入中提取 ID:

  • 标准格式 https://www.zhihu.com/question/12345678/answer/87654321 → question_id = 12345678, answer_id = 87654321
  • 如果用户只给了 answer_id,需要提醒补充 question_id 或完整 URL

Step 2: 获取回答全文

get_answer_detail(question_id="12345678", answer_id="87654321")

获取:

  • 所属问题标题
  • 作者名、作者简介
  • 回答完整内容
  • 点赞数、评论数
  • 发布/编辑时间

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...

Step 3: 获取评论区

get_comments(url="https://www.zhihu.com/question/12345678/answer/87654321", count=20)

获取评论列表,包含:

  • 评论内容
  • 评论作者

分析评论时关注:

  • 支持/反对比例:多少评论认同作者观点,多少持反对意见
  • 补充信息:评论中提供的额外事实、数据、个人经历
  • 质疑与纠错:指出回答中错误或有争议的部分
  • 高质量讨论:评论之间的有价值辩论

如果评论数很多(>50),可以分批获取或只看前 20 条最新评论。

Step 4: 获取问题上下文(可选)

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:

  • 问题本身的描述和背景
  • 总共有多少回答
  • 其他高赞回答的摘要(判断当前回答是否代表主流观点)

仅在以下情况执行:

  • 用户要求对比其他回答
  • 回答内容引用了问题描述中的信息
  • 需要判断该回答在所有回答中的地位

Step 5: 输出分析报告

## 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

注意事项

  • 回答内容可能很长,提炼核心观点即可,不需要逐段复述
  • 评论区信息量大时,按主题归类而非逐条列举
  • 保持客观,如实呈现支持和反对意见
  • 如果回答涉及专业领域(医学、法律等),提醒用户需要专业人士验证
  • 注意区分"高赞评论"和"普通评论"的权重
Changes

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.

  1. 9d ago First seen · 150 lines · 49 tokens per session scan A 7cbf187ba2e8

Subscribe to this mod's changes

analyze-zhihu-answer is a skill published in the GitHub repository alizeeblack-code/zhihu-mcp (4 stars, last pushed 6mo ago), licensed MIT. It adds 49 tokens to every session and 1,095 once invoked, about $0.0002 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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