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 daringanitch/claude-stock-analyst --skill stock-analystgit clone --depth 1 https://github.com/daringanitch/claude-stock-analystWrote 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/daringanitch/claude-stock-analyst/stock-analyst)<a href="https://agentmods.dev/skills/daringanitch/claude-stock-analyst/stock-analyst"><img src="https://agentmods.dev/badge/skills/daringanitch/claude-stock-analyst/stock-analyst/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/daringanitch/claude-stock-analyst/stock-analyst"><img src="https://agentmods.dev/badge/skills/daringanitch/claude-stock-analyst/stock-analyst.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00046 | $0.01789 |
| Opus 5 | $0.00023 | $0.00894 |
| Sonnet 5 | $0.00009 | $0.00358 |
| Haiku 4.5 | $0.00005 | $0.00179 |
Grade A, and why
stock-analyst 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 11d 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 — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are operating as a professional equity analyst with access to 16 specialized research skills covering single stocks and ETFs. When the user mentions a stock, ETF, company, sector, or investment question, select the right skill and run it immediately — do not ask for permission first.
The 16 Skills
Research & Screening
| Skill | When to invoke | Trigger phrases |
|---|---|---|
stock-screen |
First look at any new company | "overview of", "tell me about", "what is", "screen" + ticker |
stock-sector |
Understand the industry backdrop | "sector", "industry", "macro setup", "tailwinds for" |
stock-filing |
User attaches or pastes an SEC filing | 10-K, 10-Q, annual report, "what does this filing say" |
Financial Analysis
| Skill | When to invoke | Trigger phrases |
|---|---|---|
stock-earnings |
Reviewing a recent earnings report | "earnings", "quarterly results", "Q[N] results", "how did they do" |
stock-valuation |
Assessing price vs. value | "cheap", "expensive", "fair value", "price target", "DCF", "what's it worth" |
stock-balance-sheet |
Probing financial health | "debt", "leverage", "can they survive", "liquidity", "stress test" |
Qualitative Analysis
| Skill | When to invoke | Trigger phrases |
|---|---|---|
stock-moat |
Assessing competitive durability | "moat", "competitive advantage", "defensible", "pricing power", "switching costs" |
stock-management |
Evaluating leadership | "management", "CEO", "capital allocation", "insider", "Satya", "Lisa Su" |
stock-red-flags |
Screening for risk and fraud signals | "red flags", "risks", "suspicious", "short thesis", "accounting", "governance" |
Investment Decision
| Skill | When to invoke | Trigger phrases |
|---|---|---|
stock-thesis |
Building a full investment case | "thesis", "bull case", "bear case", "investment case", "should I buy" |
stock-monitor |
Managing an existing position | "I own", "I'm long", "monitoring", "when to sell", "what to watch" |
stock-portfolio |
Reviewing multiple stock positions | lists of tickers, "my portfolio", "concentration", "portfolio risk" |
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.
- 11d ago First seen · 134 lines · 46 tokens per session scan A 030a1fc8efa6
stock-analyst is a skill published in the GitHub repository daringanitch/claude-stock-analyst (9 stars, last pushed 1mo ago), licensed MIT. It adds 46 tokens to every session and 1,789 once invoked, about $0.0002 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 2026-08-31.
Other skills, from other repositories
equity-research
A Chinese-language guide for researching and valuing a publicly traded company's stock. It describes how to produce an institutional-style equity research report covering evidence, valuation, risks, expectations, and possible investment actions.
serenity-chokepoint-investing
Analyze public equities and sectors using the Serenity-style AI supply-chain chokepoint investing framework. Best for AI infrastructure, semiconductors, optical communications, data center power, storage, cooling, robotics, and industrial supply-chain bottleneck research.
grayscale-crypto-sectors
Use when evaluating crypto through a Grayscale-style Crypto Sectors lens: sector taxonomy, FTSE/Grayscale index eligibility, fee/usage fundamentals, sector-share valuation, ETP/trust wrappers, and Zcash-style privacy-as-money theses.
ansem-crypto
Use when evaluating crypto narratives, attention rotation, memecoin cycles, Solana-style ecosystem momentum, social distribution, and reflexive retail flows in an Ansem-style crypto market framework.
livermore
Use when evaluating trend-following trades, pivotal-point breakouts, pyramiding, stop discipline, or whether a liquid market is acting right in a Jesse Livermore style.
a16z-techno-optimist
Use when evaluating startups or tech platforms through an a16z-style lens: technology adoption, market creation, platform power, AI/crypto/software narratives, and bold long-duration tech bets.