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-market-sentimentgit 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-market-sentiment)<a href="https://agentmods.dev/skills/star23/day1global-skills/us-market-sentiment"><img src="https://agentmods.dev/badge/skills/star23/day1global-skills/us-market-sentiment/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-market-sentiment"><img src="https://agentmods.dev/badge/skills/star23/day1global-skills/us-market-sentiment.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 165 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 | $0.00163 | $0.02186 |
| Opus 5 | $0.00081 | $0.01093 |
| Sonnet 5 | $0.00033 | $0.00437 |
| Haiku 4.5 | $0.00016 | $0.00219 |
Grade A, and why
us-market-sentiment 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 12d 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 — 183 lines — stays where its author put it; the contents beside it link to each section on GitHub.
US Stock Market Sentiment Monitoring System
This skill helps you systematically analyze US stock market sentiment, determine whether the current market is in a state of greed or fear based on 5 core indicators, and provide position adjustment recommendations.
Use Cases
Use this skill when users ask the following types of questions:
- Is the US stock market overheating / Should I reduce my positions
- What is the current market sentiment
- What are institutional and retail investor positioning levels
- Are valuations too high
- Market risk assessment
Analytical Framework
5 Core Monitoring Indicators
For each indicator, use web_search to find the latest data, then evaluate according to the criteria below.
Indicator 1: NAAIM Exposure Index
What it is: The full name is National Association of Active Investment Managers Exposure Index, published weekly by the association of active investment managers in the US. It reflects the current equity exposure of active investment managers (0 = fully in cash, 100 = fully invested, can exceed 100 indicating leverage).
Search keywords: NAAIM exposure index latest or NAAIM exposure index this week
Warning criteria:
- Value > 80 and median reaches 100 → ⚠️ Warning: Institutions are near full allocation, limited room for further buying
- Value 40-80 → ✅ Normal
- Value < 40 → 📉 Institutions have significantly reduced positions, possibly a panic signal (contrarian indicator: may be an entry opportunity)
Key interpretation: When nearly all active fund managers are fully invested, it means "everyone who can buy has already bought," and there is a lack of new buying power to push stock prices higher.
Indicator 2: Institutional Equity Allocation
What it is: Data published by large asset custodians such as State Street, reflecting the percentage of equity allocation in the portfolios of global institutional investors (pension funds, insurance companies, sovereign wealth funds, etc.).
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.
- 12d ago First seen · 183 lines · 163 tokens per session scan A a2bff9629dcc
us-market-sentiment is a skill published in the GitHub repository star23/Day1Global-Skills (1,048 stars, last pushed 25d ago), licensed MIT. It adds 163 tokens to every session and 2,186 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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