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 agentmods add skills/nutdnuy/webull-openapi-ai-plugin/webull-market-datanpx skills add nutdnuy/webull-openapi-AI-Plugin --skill webull-market-datagit clone --depth 1 https://github.com/nutdnuy/webull-openapi-AI-PluginWrote 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/nutdnuy/webull-openapi-ai-plugin/webull-market-data)<a href="https://agentmods.dev/skills/nutdnuy/webull-openapi-ai-plugin/webull-market-data"><img src="https://agentmods.dev/badge/skills/nutdnuy/webull-openapi-ai-plugin/webull-market-data.svg" alt="Measured on agentmods" 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 | $0.00060 | $0.00675 |
| Opus 5 | $0.00030 | $0.00338 |
| Sonnet 5 | $0.00012 | $0.00135 |
| Haiku 4.5 | $0.00006 | $0.00068 |
Grade A, and why
webull-market-data 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 4d 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 — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Webull market data
Read the relevant endpoint object in references/endpoints.json, follow its schema_ref into references/openapi.json, and use references/authentication.md for headers/signatures before every request. Consult the official Webull Open API reference for endpoint documentation and permissions.
First-use onboarding
Before the first data request, check for WEBULL_APP_KEY and WEBULL_APP_SECRET in the configured environment or secret manager. If the API Key is missing, ask the user to configure it securely and stop before any network request. Never request credentials pasted into chat.
Supported read-only endpoints
All paths below are read-only data operations; use the official reference index linked above for the current method, parameters, response, and rate limit.
/openapi/market-data/stock/tick/openapi/market-data/stock/snapshot/openapi/market-data/stock/quotes/openapi/market-data/stock/footprint/openapi/market-data/stock/batch-bars/openapi/market-data/stock/bars/openapi/instrument/stock/list/openapi/instrument/company/profile/openapi/instrument/analyst/rating/openapi/instrument/analyst/target-price/openapi/market-data/screener/gainers-losers/openapi/market-data/screener/top-active
Request workflow
-
Identify the exact path and read its catalog entry. Construct query parameters, path parameters, and JSON body exactly as cataloged; do not guess symbol, market, timestamp, pagination, or batch shapes.
-
Invoke the shared client and preserve its structured response:
python scripts/webull_api.py request --method GET --path /openapi/market-data/stock/snapshot --query-json '{"symbol":"<SYMBOL>","market":"<MARKET>"}'For a cataloged POST such as batch bars, use the catalog-shaped body:
python scripts/webull_api.py request --method POST --path /openapi/market-data/stock/batch-bars --body-file ./batch-bars.json
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.
- 4d ago First seen · 49 lines · 60 tokens per session scan A 2b67e865fa8d
webull-market-data is a skill published in the GitHub repository nutdnuy/webull-openapi-AI-Plugin (26 stars, last pushed 1mo ago), licensed MIT. It adds 60 tokens to every session and 675 once invoked, about $0.0003 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.
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