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 staskh/trading_skills --skill stock-quotegit clone --depth 1 https://github.com/staskh/trading_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/staskh/trading_skills/stock-quote)<a href="https://agentmods.dev/skills/staskh/trading_skills/stock-quote"><img src="https://agentmods.dev/badge/skills/staskh/trading_skills/stock-quote/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/staskh/trading_skills/stock-quote"><img src="https://agentmods.dev/badge/skills/staskh/trading_skills/stock-quote.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00045 | $0.00271 |
| Opus 5 | $0.00023 | $0.00135 |
| Sonnet 5 | $0.00009 | $0.00054 |
| Haiku 4.5 | $0.00005 | $0.00027 |
Grade A, and why
stock-quote 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 10d 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.
What it actually says
Stock Quote
Fetch current stock data from Yahoo Finance.
Instructions
Note: If
uvis not installed orpyproject.tomlis not found, replaceuv run pythonwithpythonin all commands below.
Run the quote script with the ticker symbol:
uv run python scripts/quote.py SYMBOL
Replace SYMBOL with the requested ticker (e.g., AAPL, MSFT, TSLA, SPY).
Output
The script outputs JSON with:
- symbol, name, price, change, change_percent
- volume, avg_volume, market_cap
- high_52w, low_52w, pe_ratio, dividend_yield
Present the data in a readable format. Highlight significant moves (>2% change).
Dependencies
yfinance
Timezone
All timestamps and time-based calculations must use the America/New_York timezone. All JSON output must include generated_at (NY time string) and data_delay fields.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 10d ago First seen · 39 lines · 45 tokens per session scan A ca1eb7e2ed04
stock-quote is a skill published in the GitHub repository staskh/trading_skills (363 stars, last pushed 9d ago), licensed MIT. It adds 45 tokens to every session and 271 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 2026-08-30.
Other skills, from other repositories
find-cpa-firm
Use whenever the user wants to find, shortlist, vet, or enrich US accounting and tax firms (CPA firms) — financial-statement audit, SOC 1/2 audit, corporate tax, bookkeeping for businesses, advisory/fractional CFO, M&A diligence, 409A valuations, R&D tax credits, IPO readiness, sales-and-use tax. Triggers on "find me…
clawby-data
Query and analyze real financial data for any asset (US stocks / options / crypto / forex / perps / prediction markets) — quotes, volume, short volume & short interest, borrow fee, dark pool, options chain, Reddit sentiment, OHLC bars, FTDs, dividends & splits, stock screener, company financials & SEC filings (income…
second-order-thinking
Think beyond immediate consequences to understand the chain reactions of decisions. Master Howard Marks' investment framework for seeing what others miss. Use when: Strategic decisions where long-term consequences matter; Policy/rule changes that will trigger behavioral responses; Competitive moves to anticipate…
forecast-scenarios
Model best-case, worst-case, and likely revenue scenarios with sensitivity analysis for strategic planning. Use when: building financial forecasts; presenting board scenarios; planning headcount around revenue uncertainty; modeling pricing changes impact; preparing investor updates with upside/downside ranges.
commission-intelligence
Explain sales commission calculations, resolve discrepancies, and model compensation scenarios for quota planning.
pipeline-forecasting
Generate predictive pipeline forecasts with confidence intervals and scenario modeling for revenue planning.