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 comparegit 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/compare)<a href="https://agentmods.dev/skills/yyordanov-tradu/stock-scanner-mcp/compare"><img src="https://agentmods.dev/badge/skills/yyordanov-tradu/stock-scanner-mcp/compare/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/compare"><img src="https://agentmods.dev/badge/skills/yyordanov-tradu/stock-scanner-mcp/compare.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 | $0.00028 | $0.01077 |
| Opus 5 | $0.00014 | $0.00539 |
| Sonnet 5 | $0.00006 | $0.00215 |
| Haiku 4.5 | $0.00003 | $0.00108 |
Grade A, and why
compare 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 — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Compare Stocks
Overview
Perform a structured side-by-side comparison of multiple stocks. Rank each across key investment dimensions and identify a preferred pick with clear reasoning.
Announce at start: "Comparing [TICKER1], [TICKER2], ... — collecting valuation, technicals, and analyst data..."
Input
Parse $ARGUMENTS as space-separated ticker symbols. If fewer than 2 tickers provided, respond with:
"Usage: /compare TICKER1 TICKER2 [TICKER3 ...]" and STOP.
If more than 5 tickers provided, respond with: "Maximum 5 tickers supported. Got [N]. Please reduce the list." and STOP.
Normalize all tickers to UPPERCASE. Strip whitespace and leading dollar signs.
Data Collection
Wave 1 — ALL calls in parallel
| Tool | Parameters | Priority |
|---|---|---|
| tradingview_compare_stocks | tickers=[all tickers as array] | REQUIRED |
| alphavantage_overview | symbols=TICKER (for EACH ticker) | ENRICHMENT |
| finnhub_analyst_ratings | symbol=TICKER (for EACH ticker) | ENRICHMENT |
ALL calls launch in parallel. For multi-ticker tools that accept one symbol at a time, fire all instances concurrently.
If the REQUIRED tool fails, report the error and STOP. If ENRICHMENT tools fail for some tickers, continue with available data and note gaps.
Analysis
DO NOT reproduce raw tool output. Synthesize into a comparative framework.
Score each stock across these dimensions:
- Valuation — P/E, P/S, PEG ratio. Lower is better unless growth justifies premium.
- Growth — Revenue growth, EPS growth trajectory. Higher is better.
- Technicals — TradingView rating, RSI positioning, trend direction. Favor stocks above key SMAs with non-overbought RSI.
- Analyst Sentiment — Consensus rating, target upside percentage. Stronger consensus and higher upside wins.
- Dividend — Yield and payout sustainability. Only relevant if comparing income stocks.
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 · 102 lines · 28 tokens per session scan A 9fbf66607843
compare is a skill published in the GitHub repository yyordanov-tradu/stock-scanner-mcp (6 stars, last pushed 2d ago), licensed MIT. It adds 28 tokens to every session and 1,077 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.
Other skills, from other repositories
sector-rotation
An analysis framework for comparing industries in the Chinese A-share stock market, using business conditions, price momentum, valuation, and money flows. It produces rankings and higher- or lower-allocation suggestions.
strategy-pivot-designer
Detect backtest iteration stagnation and generate structurally different strategy pivot proposals when parameter tuning reaches a local optimum.
twitter-reader
Read Twitter/X for financial research using opencli (read-only). Use this skill whenever the user wants to read their Twitter feed, search for financial tweets, view bookmarks, look up user profiles, or gather market sentiment from Twitter/X. Triggers include: "check my feed", "search Twitter for", "show my…
chenhao-limit-up
A framework for judging Chinese A-share stocks that have reached the daily price-rise limit, using market mood, sector leadership, and trading momentum.
furusato
A Japanese hometown-tax donation manager for furusato nozei, a system where donations to municipalities can qualify for an income-tax or local-tax deduction. It reads donation receipts, stores donation records, and calculates deduction limits.
reading-receipt
An image-reading workflow for extracting structured information from receipts, invoices, and hometown-tax donation certificates. It can first extract text from PDFs and otherwise read their images.