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 mphinance/alpha-skills --skill webull-openapigit clone --depth 1 https://github.com/mphinance/alpha-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/mphinance/alpha-skills/webull-openapi)<a href="https://agentmods.dev/skills/mphinance/alpha-skills/webull-openapi"><img src="https://agentmods.dev/badge/skills/mphinance/alpha-skills/webull-openapi/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/mphinance/alpha-skills/webull-openapi"><img src="https://agentmods.dev/badge/skills/mphinance/alpha-skills/webull-openapi.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 | $0.00065 | $0.05087 |
| Opus 5.5 | $0.00026 | $0.02035 |
| Sonnet 5.5 | $0.00013 | $0.01017 |
| Haiku 4.5 | $0.00006 | $0.00509 |
Grade A, and why
webull-openapi 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:
- webull-openapi — 100% identical, 79 lines differ
How it starts
The opening of the file, as written. The whole thing — 415 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Webull OpenAPI Skill
This skill lets you interact with Webull's trading platform through natural language. You can place orders, check market data, query account info, and manage positions — all via the official Webull Python SDK.
What You Can Do
- Trade: Place, preview, modify, and cancel orders for stocks, options, futures, crypto, and event contracts. Each asset type has dedicated actions:
- Stock/ETF →
place,preview,replace - Option →
option-place,option-preview,option-replace,option-strategy-place - Futures →
futures-place,futures-replace - Crypto →
crypto-place - Event →
event-place,event-replace
- Stock/ETF →
- Market Data: Get real-time snapshots, historical bars, tick data, quotes, and order flow for all asset classes (stocks, options, futures, crypto, event contracts)
- Option market data actions:
option-snapshot,option-bars,option-tick(category: US_OPTION, supports US/HK/JP)
- Option market data actions:
- Accounts: List accounts, check balances, view positions
- Instruments: Look up stock, crypto, futures, option, and event contract instruments; get company profile, analyst ratings, and target prices
- Option contracts:
instrument-option-contracts(query by underlying symbol, expiry, strike, etc.)
- Option contracts:
- Screener: Top gainers/losers, most active stocks, market sectors, high dividend, and 52-week high/low
- Fundamentals: Financial statements, capital flow, industry comparison, earnings/dividend calendar, forecast EPS, and fund/ETF data
- Watchlist: Create, manage, and query watchlists and their instruments
Safety Rules
All order-mutating operations require user confirmation before execution.
Mutating actions: place, replace, cancel, batch-place, algo-place, option-place, option-replace, option-strategy-place, futures-place, futures-replace, crypto-place, event-place, event-replace.
Before executing any of these operations, the AI must:
- Display a clear summary of the operation to the user, including:
- Action type (place / replace / cancel)
- Symbol, side, order type, quantity, price
- Account being used
- Explicitly ask the user to confirm (e.g., "Confirm this order? [Yes/No]")
- Only proceed after receiving explicit user approval
What ships with it
14 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.
- references/api_reference.md 8.2 KB
- references/llms_au.md 7.3 KB
- references/llms_br.md 7.3 KB
- references/llms_eu.md 12 KB
- references/llms_hk.md 1.2 KB
- references/llms_jp.md 1.7 KB
- references/llms_mx.md 7.4 KB
- references/llms_my.md 7.8 KB
- references/llms_sg.md 3.3 KB
- references/llms_th.md 9.0 KB
- references/llms_us.md 2.0 KB
- references/llms_za.md 8.1 KB
- references/skill_market_data.md 19 KB
- references/skill_trading.md 25 KB
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 · 415 lines · 65 tokens per session scan A e590f8c08468
webull-openapi is a skill published in the GitHub repository mphinance/alpha-skills (28 stars, last pushed 10d ago), licensed MIT. It adds 65 tokens to every session and 5,087 once invoked, about $0.0003 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 2026-09-14.
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