Verifies factual claims in documents using web search and official sources, then proposes corrections with user confirmation. Use when the user asks to fact-check, verify information, validate claims, check accuracy, or update outdated information in documents. Supports AI model specs, technical documentation, statistics, and general factual statements.
インストール方法を見るインストールする前に、エージェントに与えられる指示の中身を確認できます。
Verify factual claims in documents and propose corrections backed by authoritative sources.
Trigger when users request:
Copy this checklist to track progress:
Fact-checking Progress:
- [ ] Step 1: Identify factual claims
- [ ] Step 2: Search authoritative sources
- [ ] Step 3: Compare claims against sources
- [ ] Step 4: Generate correction report
- [ ] Step 5: Apply corrections with user approval
Scan the document for verifiable statements:
Target claim types:
Skip subjective content:
For each claim, search official sources:
AI models:
Technical libraries:
General claims:
Search strategy:
Create a comparison table:
| Claim in Document | Source Information | Status | Authoritative Source |
|---|---|---|---|
| Claude 3.5 Sonnet: 200K tokens | Claude Sonnet 4.5: 200K tokens | ❌ Outdated model name | platform.claude.com/docs |
| GPT-4o: 128K tokens | GPT-5.2: 400K tokens | ❌ Incorrect version & spec | openai.com/index/gpt-5-2 |
Status codes:
Present findings in structured format:
## Fact-Check Report
### Summary
- Total claims checked: X
- Accurate: Y
- Issues found: Z
### Issues Requiring Correction
#### Issue 1: Outdated AI Model Reference
**Location:** Line 77-80 in docs/file.md
**Current claim:** "Claude 3.5 Sonnet: 200K tokens"
**Correction:** "Claude Sonnet 4.5: 200K tokens"
**Source:** https://platform.claude.com/docs/en/build-with-claude/context-windows
**Rationale:** Claude 3.5 Sonnet has been superseded by Claude Sonnet 4.5 (released Sept 2025)
#### Issue 2: Incorrect Context Window
**Location:** Line 79 in docs/file.md
**Current claim:** "GPT-4o: 128K tokens"
**Correction:** "GPT-5.2: 400K tokens"
**Source:** https://openai.com/index/introducing-gpt-5-2/
**Rationale:** 128K was output limit; context window is 400K. Model also updated to GPT-5.2
Before making changes:
When applying corrections:
# Use Edit tool to update document
# Example:
Edit(
file_path="docs/03-写作规范/AI辅助写书方法论.md",
old_string="- Claude 3.5 Sonnet: 200K tokens（约 15 万汉字）",
new_string="- Claude Sonnet 4.5: 200K tokens（约 15 万汉字）"
)
After corrections:
Good queries (specific, current):
Poor queries (vague, generic):
Prefer official sources:
Use with caution:
Avoid:
When sources conflict:
When no source found:
Always include temporal context:
Good corrections:
Poor corrections:
Match precision to source:
Source says: "approximately 1 million tokens" Write: "1M tokens (approximately)"
Source says: "200,000 token context window" Write: "200K tokens" (exact)
Include citations in corrections:
> **注**：具体上下文窗口以模型官方文档为准，本书写作时使用 Claude Sonnet 4.5 为主要工具。
Link to sources when possible.
User request: "Fact-check the AI model context windows in section 2.1"
Process:
User request: "Verify the benchmark scores in chapter 5"
Process:
User request: "Check if these library versions are still current"
Process:
Before completing fact-check:
This skill cannot:
For such cases:
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Comprehensive China A-share stock analysis covering fundamental analysis, technical analysis, policy impact assessment, and market-specific features (T+1 trading, price limits, northbound capital flow). Use when user asks about A股分析, Chinese mainland stocks, Shanghai/Shenzhen listed stocks, or needs analysis considering China market characteristics.
日本語の概要は準備中です。原文の説明を表示しています。
Screen and filter A-share stocks based on fundamental metrics, technical indicators, capital flow, and custom criteria. Support multiple screening strategies including value investing, growth investing, momentum trading, and dividend hunting. Use when user wants to find stocks meeting specific criteria like "低PE高ROE股票", "北向资金加仓股", "突破年线的股票".
日本語の概要は準備中です。原文の説明を表示しています。
Generate high-converting ad copy for Google Ads, Meta (Facebook/Instagram), LinkedIn, and TikTok. Creates multiple variations with A/B testing in mind. Includes headlines, descriptions, CTAs, and platform-specific formats. Use when creating ads, generating ad variations, or A/B testing ad copy.
日本語の概要は準備中です。原文の説明を表示しています。
Add new skills to an existing workflow and update all related documentation. Use when user wants to add skills from GitHub URLs to a workflow (e.g., "add this skill to the workflow", "为工作流添加技能"). Triggers on adding skills to workflows, updating workflow documentation after skill additions.
日本語の概要は準備中です。原文の説明を表示しています。
Agile product management, Scrum practices, and team collaboration for iterative product development.
日本語の概要は準備中です。原文の説明を表示しています。
Plan and execute effective sprints using Agile methodologies. Define sprint goals, estimate user stories, manage sprint backlog, and facilitate daily standups to maximize team productivity and deliver value incrementally.
日本語の概要は準備中です。原文の説明を表示しています。