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 sec-edgargit 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/sec-edgar)<a href="https://agentmods.dev/skills/hkuds/vibe-trading/sec-edgar"><img src="https://agentmods.dev/badge/skills/hkuds/vibe-trading/sec-edgar/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/sec-edgar"><img src="https://agentmods.dev/badge/skills/hkuds/vibe-trading/sec-edgar.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk pass
- 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 | $0.00081 | $0.01430 |
| Opus 5 | $0.00041 | $0.00715 |
| Sonnet 5 | $0.00016 | $0.00286 |
| Haiku 4.5 | $0.00008 | $0.00143 |
Grade A, and why
sec-edgar 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 7d 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 — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SEC EDGAR
Overview
The U.S. Securities and Exchange Commission (SEC) publishes free, no-auth JSON endpoints for every reporting company on its EDGAR system: a ticker-to-CIK directory, a recent-filings index, and the full set of XBRL ("companyfacts") financial concepts a company has reported. This skill documents how Vibe-Trading fetches that data through the bundled sec_edgar_client transport and the get_sec_filings agent tool.
This is the fetch skill — it covers how to get filing-index rows, document URLs, and us-gaap metric series out of EDGAR. The separate edgar-sec-filings skill is the methodology layer (how to read a 10-K, score insider activity, interpret 8-K items); for any actual data retrieval it delegates here.
Scope is the United States only. EDGAR has no coverage of A-shares, HK, or other non-U.S. markets — route those through tushare / yfinance / akshare instead.
Link convention: every link below that points into
references/is written relative to this document (references/...) — the form GitHub resolves when someone opens the file in a browser. Theread_filetool resolves the same string against the skill that owns it, so the agent and a human reader reach one file. Keep the relative form when adding new docs, and keep reference paths unique across skills: a path two skills both carry is reported as ambiguous rather than guessed.
Quick Start
Preferred path — the get_sec_filings tool (read-only, throttled, returns strict JSON):
{ "ticker": "AAPL", "form": "10-K", "limit": 5 }
{ "ticker": "MSFT", "metric": "Revenues", "limit": 8 }
The tool resolves the ticker to a CIK, fetches the filing index (optionally filtered by form), and — when metric is set — also pulls the XBRL series for that us-gaap concept. See sec-edgar/references/get_sec_filings_tool.md for the full parameter and envelope contract.
Script path — call the sec_edgar_client transport directly when you need raw JSON the tool does not surface (e.g. company address, all units of a concept):
What ships with it
5 files 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.
- 7d ago First seen · 72 lines · 81 tokens per session scan A 2c90e30ea9d4
sec-edgar is a skill published in the GitHub repository HKUDS/Vibe-Trading (33,177 stars, last pushed yesterday), licensed MIT. It adds 81 tokens to every session and 1,430 once invoked, about $0.0004 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 2026-09-03.
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