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Install in OpenClaw
/install tech-earnings-deepdive
Description
科技股财报深度分析与多视角投资备忘录系统（v3.0）。覆盖A-P共16大分析模块、6大投资哲学视角、机构级证据标准、反偏见框架和可执行决策体系。当用户提到某科技公司财报分析、季报/年报解读、earnings call、收入增长分析、利润率变化、guidance指引、估值模型、DCF、反向DCF、EV/EBITDA...
Usage Guidance
This skill appears to do what it says (institutional-style, multi-perspective earnings analysis) and doesn't request credentials or unusual system access. Before installing: 1) Be aware the SKILL.md references supporting files (references/*.md) that are not included — ask the publisher or check for a complete package if you expect those templates. 2) The README suggests installing via a GitHub raw URL; if you follow that, inspect the downloaded .skill file content before installing to ensure it contains only expected instructions. 3) The skill is designed to trigger on broad, common prompts about earnings; if you prefer fewer autonomous activations, consider controlling invocation or checking your agent's skill-trigger settings. 4) Confirm how the agent will fetch primary sources (web access) and whether that aligns with your privacy expectations. If you want higher assurance, request the missing reference files and/or a published homepage or source repository with full contents and version history before installing.
Capability Analysis
Type: OpenClaw Skill
Name: tech-earnings-deepdive
Version: 1.0.0
The 'tech-earnings-deepdive' skill bundle is a comprehensive framework for financial analysis of tech stocks. It consists of detailed instructions (SKILL.md) and documentation (README.md) designed to guide an AI agent through a multi-step investment research process, including valuation models and competitive analysis. No malicious code, data exfiltration attempts, or harmful prompt injection instructions were found.
Capability Assessment
Purpose & Capability
The name/description promise (institutional-grade earnings deep-dive for tech stocks) matches the SKILL.md content. The skill does not request unrelated binaries, environment variables, or credentials.
Instruction Scope
SKILL.md stays focused on earnings/financial analysis and outlines a detailed 16-module workflow. However the instructions refer to local reference files (e.g., references/valuation-models.md, references/investing-philosophies.md, references/bias-checklist.md) that are not present in the repository manifest (only README.md and SKILL.md exist). The skill also instructs it should trigger on broad, common prompts (e.g., 'help me look at NVDA'), which is coherent with its purpose but means it may activate frequently for short/ambiguous queries.
Install Mechanism
There is no install spec in the registry (instruction-only skill), which is lower-risk. README suggests installing via a GitHub raw URL (/install-skill https://github.com/Day1Global/Day1Global-Skills/raw/main/tech-earnings-deepdive.skill) — GitHub raw is a common host, but any install-from-URL action fetches external content and should be inspected before installing.
Credentials
The skill requires no environment variables, credentials, or config paths. The referenced data sources (SEC filings, Glassdoor, etc.) are external public data and do not require secrets, so requested access is proportionate.
Persistence & Privilege
always:false (normal). disable-model-invocation:false (the agent may autonomously invoke the skill when relevant) — combined with the SKILL.md instruction to trigger on many common prompts, this means the skill could be invoked often. This is expected for a topic-based analysis skill but worth being aware of.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install tech-earnings-deepdive - After installation, invoke the skill by name or use
/tech-earnings-deepdive - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
tech-earnings-deepdive v1.0.0
- Initial release of a multi-perspective, in-depth tech earnings analysis and investment memo system.
- Covers 16 comprehensive analysis modules (A–P), 6 major investment philosophy viewpoints, and institutional-grade evidence standards.
- Features a Key Forces-driven workflow, anti-bias pre-mortem framework, and actionable portfolio decision system.
- Designed for "large individual investors" focusing on tech stock quarterly and annual results, with a step-by-step decision-making process.
- Complements the us-value-investing skill—this skill emphasizes deep dives into the latest tech earnings and actionable recommendations.
Metadata
Frequently Asked Questions
What is Tech Earnings Deep Dive?
科技股财报深度分析与多视角投资备忘录系统（v3.0）。覆盖A-P共16大分析模块、6大投资哲学视角、机构级证据标准、反偏见框架和可执行决策体系。当用户提到某科技公司财报分析、季报/年报解读、earnings call、收入增长分析、利润率变化、guidance指引、估值模型、DCF、反向DCF、EV/EBITDA... It is an AI Agent Skill for Claude Code / OpenClaw, with 181 downloads so far.
How do I install Tech Earnings Deep Dive?
Run "/install tech-earnings-deepdive" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Tech Earnings Deep Dive free?
Yes, Tech Earnings Deep Dive is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Tech Earnings Deep Dive support?
Tech Earnings Deep Dive is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Tech Earnings Deep Dive?
It is built and maintained by Star (@star23); the current version is v1.0.0.
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