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Tencent SkillHub · Data Analysis

Fundamental Stock Analysis

Fundamental equity analysis and peer ranking using a structured scoring playbook (quality, balance-sheet safety, cash flow, valuation, sector adjustments, co...

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Fundamental equity analysis and peer ranking using a structured scoring playbook (quality, balance-sheet safety, cash flow, valuation, sector adjustments, co...

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Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md, references/playbook.md

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.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. 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
1.0.5

Documentation

ClawHub primary doc Primary doc: SKILL.md 4 sections Open source page

fundamental-stock-analysis

Read references/playbook.md before starting analysis. Follow the playbook steps exactly (input parse -> data collection -> quick screen -> scoring -> rating -> output). For multi-ticker requests, analyze each ticker first, then rank peers and select best pick with invalidation triggers. Always include confidence level and call out stale/conflicting data explicitly. Do not append any machine-readable JSON block in user-facing output. 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.

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 Docs
  • SKILL.md Primary doc
  • references/playbook.md Docs