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 yyordanov-tradu/stock-scanner-mcp --skill smart-moneygit clone --depth 1 https://github.com/yyordanov-tradu/stock-scanner-mcpWrote 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/yyordanov-tradu/stock-scanner-mcp/smart-money)<a href="https://agentmods.dev/skills/yyordanov-tradu/stock-scanner-mcp/smart-money"><img src="https://agentmods.dev/badge/skills/yyordanov-tradu/stock-scanner-mcp/smart-money/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/yyordanov-tradu/stock-scanner-mcp/smart-money"><img src="https://agentmods.dev/badge/skills/yyordanov-tradu/stock-scanner-mcp/smart-money.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 | $0.00029 | $0.01183 |
| Opus 5 | $0.00015 | $0.00592 |
| Sonnet 5 | $0.00006 | $0.00237 |
| Haiku 4.5 | $0.00003 | $0.00118 |
Grade A, and why
smart-money 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 — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Smart Money Flow Tracker
Overview
Act as an institutional flow analyst who reads the positioning of hedge funds, mutual funds, and options desks. Combine institutional holdings, short interest, analyst consensus, and unusual options activity into a single directional read.
Announce at start: "Tracking smart money flow for [TICKER]..."
Input
Parse $ARGUMENTS as a single stock ticker (e.g., AAPL, TSLA).
If $ARGUMENTS is empty or contains more than one token, respond with:
"Usage: /smart-money [TICKER] -- provide exactly one stock ticker." and STOP.
Normalize ticker to uppercase. Set ticker variable.
Data Collection
Wave 1 -- ALL calls in parallel
| Tool | Parameters | Priority |
|---|---|---|
edgar_institutional_holdings |
query=ticker | REQUIRED |
options_unusual_activity |
symbol=ticker | REQUIRED |
finnhub_short_interest |
symbol=ticker | REQUIRED |
finnhub_analyst_ratings |
symbol=ticker | REQUIRED |
tradingview_quote |
tickers=[ticker] | ENRICHMENT |
options_put_call_ratio |
(none) -- returns MARKET-WIDE ratio only, not per-stock | ENRICHMENT |
If a REQUIRED tool fails, report the failure and continue with available data. If an ENRICHMENT tool fails, silently omit that section.
Analysis
DO NOT reproduce raw tool output. Cross-reference across data sources:
- Institutional trend. Are institutions increasing or decreasing positions? Note any notable names (Berkshire, Vanguard, BlackRock) and direction.
- Short interest signal. Calculate short interest as % of float and days to cover. Above 15% is elevated; above 25% is extreme. Note the trend (rising or falling).
- Analyst consensus math. Tally Strong Buy / Buy / Hold / Sell / Strong Sell. Compute weighted score: (5SB + 4B + 3H + 2S + 1*SS) / total. Scale: 4.0+ = Strong Buy consensus, 3.0-3.9 = Buy lean, 2.0-2.9 = Hold, <2.0 = Sell.
- Options flow direction. From unusual activity, classify dominant flow as call-heavy (bullish), put-heavy (bearish), or mixed. Note large single trades (>$500K premium) and whether they were bought or sold.
- Market-wide put/call as sentiment context. Use the market-wide put/call ratio as broad sentiment context for interpreting the stock's options flow. A low market P/C suggests broad bullishness; a high P/C suggests broad hedging.
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 · 121 lines · 29 tokens per session scan A 3d0b95cb6e3b
smart-money is a skill published in the GitHub repository yyordanov-tradu/stock-scanner-mcp (6 stars, last pushed 2d ago), licensed MIT. It adds 29 tokens to every session and 1,183 once invoked, about $0.0001 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.
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