Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Data Analysis
US Stock Valuation Model - Value Investing Framework / 美股估值模型-价值投资框架
Structured bilingual framework to evaluate US stocks by quality, moat, management, valuation, and risk for buy/watch/avoid decisions and monitoring.
skill openclawclawhub Free
Structured bilingual framework to evaluate US stocks by quality, moat, management, valuation, and risk for buy/watch/avoid decisions and monitoring.
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, references/framework-guide.md, references/input-template.json, scripts/evaluate_company.py
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.1.0
Provenance
- Publisher
- spyfree
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
US Stock Valuation Model - Value Investing Framework (EN + 中文)
This skill is an explicit rule-based value model focused on US stocks.
Input
Company financial report data (structured JSON), including: 3+ years of ROE Debt ratio Free cash flow and net income Moat assessment: brand / network effect / cost advantage Use the bundled template: references/input-template.json.
Decision Rules (strict)
ROE rule: ROE > 15% for at least 3 consecutive years Leverage rule: Debt ratio < 50% Cash conversion rule: Free cash flow > 80% of net income Moat rule: evaluate brand/network effect/cost advantage
Output
Investment rating: A / B / C / D Reasons (pass/fail explanation per rule) Bilingual summary (EN main + 中文摘要)
Run
python3 scripts/evaluate_company.py \ --input references/input-template.json \ --out .state/eval.json \ --markdown .state/eval.md
Rating policy
A: all 4 rules pass B: 3 rules pass C: 2 rules pass D: 0-1 rule pass
Resources
scripts/evaluate_company.py: deterministic evaluator references/input-template.json: input schema example
Category context
Data access, storage, extraction, analysis, reporting, and insight generation.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Docs1 Scripts1 Config
- SKILL.md
- references/framework-guide.md
- scripts/evaluate_company.py
- references/input-template.json