价值投资导向的股票分析工具，融合巴菲特和段永平的投资理念。
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionstock-analyzerExecute the skills CLI command in your project's root directory to begin installation:
Fetches stock-analyzer from feiyuggg/openclaw-stock-analyzer and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate stock-analyzer. Access via /stock-analyzer in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
0
total installs
0
this week
14
GitHub stars
0
upvotes
Run in your terminal
0
installs
0
this week
14
stars
价值投资导向的股票分析工具，融合巴菲特和段永平的投资理念。
✅ 当前脚本已内置：巴菲特/段永平定性评估 + 五维价值投资框架，输出按统一模板自动生成。
💡 买公司，不是买股票 —— 段永平
💡 和时间做朋友 —— 长期持有优质企业
💡 左侧交易 —— 在别人恐惧时贪婪
详细的五维价值投资分析方法论请参见: METHODOLOGY.md
该方法论包含:
# 快速分析
analyze-stock AAPL
analyze-stock AMZN
# 保存报告
analyze-stock TSLA --save
# 不同格式
analyze-stock NVDA --format json
# 价值投资深度分析
analyze-value AMZN
analyze-value AAPL
analyze-value 1810.HK
# 保存详细报告
analyze-value TSLA --save
analyze-value META --format md
# 生成任意公司的财报解读工作流报告（可复用）
analyze-earnings COIN
analyze-earnings AAPL --out /tmp/aapl-earnings.md
# 同时输出原始JSON，方便后续自动化处理
analyze-earnings MSFT --json
# 指定公司名（用于IR入口候选URL）
analyze-earnings BRK.B --company "Berkshire Hathaway"
• 1年后: $XXX (年化回报: +XX%) → 评价
• 3年后: $XXX (年化回报: +XX%) → 评价
• 5年后: $XXX (年化回报: +XX%) → 评价
目标仓位: 5-10%
• 第一批 (试仓20%): $价格区间 + 条件
• 第二批 (加仓30%): $价格区间 + 条件
• 重仓区 (35%): $价格区间 + 条件
• 极端区 (15%): <$价格 + 条件
自动生成巴菲特/段永平风格的投资理由：
$ analyze-value AMZN
🔍 正在进行价值投资分析: AMZN...
💡 理念: 买公司，不是买股票 | 和时间做朋友 | 左侧交易
============================================================================
📊 Amazon.com Inc (AMZN) 价值投资分析报告
============================================================================
【核心数据】
• 股价: $205.5 | 市值: $2206.0B
• 52周区间: $164.4 - $246.6
• Forward P/E: 22.1x
【巴菲特式估值】
• DCF内在价值: $280.5
• 安全边际: +36.5%
✅ 安全边际充足 (>20%)，符合巴菲特标准
【护城河分析】(段永平五维)
• 网络效应: ⭐⭐⭐⭐⭐
• 品牌护城河: ⭐⭐⭐⭐
• 技术护城河: ⭐⭐⭐⭐
• 成本优势: ⭐⭐⭐⭐⭐
• 切换成本: ⭐⭐⭐⭐⭐
• 综合评级: 极宽护城河 (4.4/5.0)
【未来1-5年价值估算】
• 1年后: $224.5 (年化回报: +9.2%)
• 3年后: $290.3 (年化回报: +12.1%)
• 5年后: $368.8 (年化回报: +12.4%)
【五维评分】
1. 估值/安全边际: ⭐⭐⭐⭐⭐
2. 护城河: ⭐⭐⭐⭐⭐
3. 现金流: ⭐⭐⭐⭐
4. 盈利能力: ⭐⭐⭐⭐⭐
5. 增长潜力: ⭐⭐⭐⭐
综合评分: 4.4/5.0
【投资评级】
🎯 BUY ⭐⭐⭐⭐⭐
【左侧交易执行计划】
• 第一批 (试仓20%): $195-$215
• 第二批 (加仓30%): $175-$195
• 重仓区 (35%): $165-$175
• 极端区 (15%): <$165
【"时间是朋友"持有逻辑】
1. 极宽护城河保护企业长期竞争力
2. ROE 22.3% 显示优秀的资本回报能力
3. $32.2B 年自由现金流，为股东创造价值
4. 以低于内在价值 36% 的价格买入，安全边际充足
5. 持有3-5年，让企业价值复合增长
| 维度 | 权重 | 评估标准 |
|---|---|---|
| 估值/安全边际 | 20% | DCF内在价值 vs 当前价 |
| 护城河 | 20% | 五维护城河评分 |
| 现金流 | 20% | FCF健康度 |
| 盈利能力 | 20% | ROE、ROA、利润率 |
| 增长潜力 | 20% | EPS增长预期 |
| 综合评分 | 安全边际 | 评级 | 操作建议 |
|---|---|---|---|
| ≥4.5 | >20% | STRONG BUY ⭐⭐⭐⭐⭐ | 重仓买入 |
| ≥4.0 | >10% | BUY ⭐⭐⭐⭐ | 分批建仓 |
| ≥3.5 | - | HOLD ⭐⭐⭐ | 持有观望 |
| <3.5 | - | AVOID ⭐⭐ | 回避 |
# 确保依赖已安装
pip install yahooquery
# 添加到 PATH
export PATH="$HOME/.openclaw/workspace/skills/stock-analyzer:$PATH"
本工具基于价值投资理念提供分析参考，不构成投资建议。投资有风险，入市需谨慎。
请记住：
🕰️ "时间是优秀企业的朋友，是平庸企业的敌人。" — 沃伦·巴菲特
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
We added stock-analyzer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
I recommend stock-analyzer for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
stock-analyzer fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Registry listing for stock-analyzer matched our evaluation — installs cleanly and behaves as described in the markdown.
stock-analyzer has been reliable in day-to-day use. Documentation quality is above average for community skills.
Keeps context tight: stock-analyzer is the kind of skill you can hand to a new teammate without a long onboarding doc.
stock-analyzer is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Solid pick for teams standardizing on skills: stock-analyzer is focused, and the summary matches what you get after install.
Useful defaults in stock-analyzer — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Registry listing for stock-analyzer matched our evaluation — installs cleanly and behaves as described in the markdown.
showing 1-10 of 25