Vibe-Trading is a personal trading agent that gives an AI system tools for market analysis, algorithmic trading, backtesting, and related workflows. It is for users who want an agent to research and evaluate trading strategies or manage simulated and other trading activities. The catalogue contains skills that expose these trading capabilities to compatible agents.
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 HKUDS/Vibe-Trading --skill edgar-sec-filingsgit clone --depth 1 https://github.com/HKUDS/Vibe-TradingWrote 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/hkuds/vibe-trading/edgar-sec-filings)<a href="https://agentmods.dev/skills/hkuds/vibe-trading/edgar-sec-filings"><img src="https://agentmods.dev/badge/skills/hkuds/vibe-trading/edgar-sec-filings/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/hkuds/vibe-trading/edgar-sec-filings"><img src="https://agentmods.dev/badge/skills/hkuds/vibe-trading/edgar-sec-filings.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk warn
- 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 | $0.00053 | $0.03029 |
| Opus 5.5 | $0.00021 | $0.01212 |
| Sonnet 5.5 | $0.00011 | $0.00606 |
| Haiku 4.5 | $0.00005 | $0.00303 |
Grade A, and why
edgar-sec-filings 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 1mo 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- edgar-sec-filings — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 298 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SEC EDGAR Filing Analysis
Overview
Analyze US public company filings from SEC EDGAR to extract fundamental insights, risk signals, and investment-relevant information. Covers annual reports (10-K), quarterly reports (10-Q), current events (8-K), proxy statements (DEF 14A), and insider transactions (Form 4).
This skill provides the analytical framework for interpreting SEC filings. Data retrieval uses read_url tool with EDGAR URLs or yfinance Ticker objects for structured financial data.
Filing Types and Investment Relevance
| Filing | Frequency | Key Content | Signal Value |
|---|---|---|---|
| 10-K | Annual | Full-year financials, risk factors, MD&A, segment data | Comprehensive fundamental view |
| 10-Q | Quarterly | Quarterly financials, interim MD&A, legal updates | Trend confirmation / inflection detection |
| 8-K | Event-driven | Material events: M&A, CEO change, restatement, guidance | Catalyst / risk trigger |
| DEF 14A | Annual (proxy) | Executive comp, board composition, shareholder proposals | Governance quality signal |
| Form 4 | Within 2 days | Insider buys / sells | Insider conviction signal |
| 13F | Quarterly | Institutional holdings >$100M AUM | Smart money positioning |
| SC 13D/G | Event-driven | >5% ownership stake disclosure | Activist / strategic investor signal |
EDGAR Data Access
Direct EDGAR URLs
# Company filings search
# https://www.sec.gov/cgi-bin/browse-edgar?action=getcompany&CIK={ticker}&type={filing_type}
# Example: Apple 10-K filings
url = "https://www.sec.gov/cgi-bin/browse-edgar?action=getcompany&CIK=AAPL&type=10-K&dateb=&owner=include&count=10"
# EDGAR full-text search (EFTS)
# https://efts.sec.gov/LATEST/search-index?q={query}&dateRange=custom&startdt={start}&enddt={end}
Via yfinance (structured data)
import yfinance as yf
ticker = yf.Ticker("AAPL")
# Financial statements (derived from 10-K/10-Q)
income = ticker.financials # Annual income statement
income_q = ticker.quarterly_financials # Quarterly
balance = ticker.balance_sheet # Balance sheet
cashflow = ticker.cashflow # Cash flow statement
# Insider transactions (derived from Form 4)
insider = ticker.insider_transactions
# Institutional holders (derived from 13F)
institutions = ticker.institutional_holders
major = ticker.major_holders
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.
- 1mo ago First seen · 298 lines · 53 tokens per session scan A 9697ffbc7305
edgar-sec-filings is a skill published in the GitHub repository HKUDS/Vibe-Trading (36,887 stars, last pushed today), licensed MIT. It adds 53 tokens to every session and 3,029 once invoked, about $0.0002 per session on Opus 5.5. 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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