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fundamental-stock-analysis

Fundamental equity analysis and peer ranking using a structured scoring playbook (quality, balance-sheet safety, cash flow, valuation, sector adjustments, confidence modifiers). Use when a user asks to analyze one or more stock tickers, compare peers, choose a best pick, or produce a fundamentals-based verdict.

作者: admin | 来源: ClawHub
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ClawHub
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V 1.0.0
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fundamental-stock-analysis

# fundamental-stock-analysis 1. Read `references/playbook.md` before starting analysis. 2. Follow the playbook steps exactly (input parse -> data collection -> quick screen -> scoring -> rating -> output). 3. For multi-ticker requests, analyze each ticker first, then rank peers and select best pick with invalidation triggers. 4. Always include confidence level and call out stale/conflicting data explicitly. 5. Do not append any machine-readable JSON block in user-facing output. 6. Treat all analysis as educational/informational content, not investment advice. ## Security scope (clarification) - Use web retrieval only for ticker-relevant financial statements, filings, market/fundamental datasets, and relevant financial news. - Do not request, handle, or expose credentials/secrets. - Do not perform command execution, local file discovery unrelated to analysis, or arbitrary URL exploration outside ticker-relevant finance/news scope. ## Non-goals - Data exfiltration or collection of private/non-public information. - Browser/automation tasks outside equity fundamental analysis and citation gathering. ## Output discipline - Keep conclusions decisive and risk-aware. - Separate business quality, balance-sheet safety, and valuation. - Never fabricate missing metrics; mark `NA`.

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skill ai

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该技能支持在以下平台通过对话安装:

OpenClaw WorkBuddy QClaw Kimi Claude

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skillhub install mars-stock-analysis-1775912828

下载 Zip 包

⬇ 下载 fundamental-stock-analysis v1.0.0

文件大小: 9.37 KB | 发布时间: 2026-4-12 10:31

v1.0.0 最新 2026-4-12 10:31
Initial release of fundamental equity analysis and peer ranking skill.

- Performs structured analysis using a step-by-step playbook (input parsing, screening, scoring, rating, output).
- Analyzes single or multiple stock tickers, ranks peers, and identifies the top pick with clear invalidation criteria.
- Always states confidence level and flags stale or conflicting data.
- User-facing output is strictly informative; no investment advice and no machine-readable JSON blocks.
- Strictly scoped web retrieval to financial data and news; no credential handling or unrelated file/command access.

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