Day1Global-Skills is a collection of investment-analysis skills for AI agents covering technology earnings, value investing, stock-market sentiment, macroeconomic liquidity, and Bitcoin-cycle analysis. Investors use the skills to examine companies, markets, economic conditions, and crypto indicators through structured analysis workflows. The catalogue skills are the project’s own agent workflows.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add star23/Day1Global-Skills --skill us-value-investinggit clone --depth 1 https://github.com/star23/Day1Global-SkillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/star23/day1global-skills/us-value-investing)<a href="https://agentmods.dev/skills/star23/day1global-skills/us-value-investing"><img src="https://agentmods.dev/badge/skills/star23/day1global-skills/us-value-investing/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/star23/day1global-skills/us-value-investing"><img src="https://agentmods.dev/badge/skills/star23/day1global-skills/us-value-investing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk fail
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high System Prompt Leakage · line 211 Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00156 | $0.03110 |
| Opus 5 | $0.00078 | $0.01555 |
| Sonnet 5 | $0.00031 | $0.00622 |
| Haiku 4.5 | $0.00016 | $0.00311 |
Grade A, and why
us-value-investing scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 229 lines — stays where its author put it; the contents beside it link to each section on GitHub.
US Stock Value Investing Analysis Framework
This skill helps you systematically analyze whether a US-listed company is worth holding long-term using Buffett-style value investing methods. Through quantitative assessment across 4 core dimensions, it provides a clear investment rating.
Use Cases
Use this skill when users ask the following types of questions:
- Whether a particular US stock is worth buying/holding long-term
- Help me analyze a company's fundamentals
- How to interpret a company's financial report data
- Whether a company has an economic moat
- Help me screen stocks using value investing methods
Analysis Framework
4 Core Assessment Dimensions
For each dimension, use web_search to look up the target company's latest financial report data, then evaluate according to the criteria below.
Dimension 1: ROE Sustainability (Return on Equity)
What it is: ROE (Return on Equity) = Net Income / Shareholders' Equity. Simply put: for every $100 shareholders invest in the company, how much profit can it generate in a year. An ROE of 15% means every $100 of shareholder capital creates $15 in profit. This is the single financial metric Buffett values most — he believes a truly excellent company should be able to consistently and efficiently deploy capital.
Key point: Don't look at just one year's ROE; check whether it has maintained a high level consistently for 3+ years. A single year of high ROE could be due to one-time factors (selling a building, winning a lawsuit), and only sustained high ROE demonstrates genuine competitive strength.
Search keywords: [Company name] ROE history or [Company name/ticker] return on equity 3 year
Scoring criteria:
- 3+ consecutive years ROE > 20% → ⭐⭐⭐ Excellent (3/3 points)
- 3+ consecutive years ROE > 15% → ⭐⭐ Good (2 points)
- ROE 10-15% or inconsistent → ⭐ Average (1 point)
- ROE < 10% or highly volatile → 0 points
Common pitfalls:
- High leverage can artificially inflate ROE. If a company has high ROE but also high debt, take it with a grain of salt.
- Share buybacks reduce shareholders' equity, thereby "inflating" ROE. This needs to be evaluated alongside actual earnings growth.
- Cyclical industries (e.g., oil, semiconductors) will see ROE fluctuate significantly with industry cycles; a full cycle should be examined.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 13d ago First seen · 229 lines · 156 tokens per session scan A 76812232ea35
us-value-investing is a skill published in the GitHub repository star23/Day1Global-Skills (1,048 stars, last pushed 25d ago), licensed MIT. It adds 156 tokens to every session and 3,110 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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