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-accountnpx skills add nutdnuy/webull-openapi-AI-Plugin --skill webull-accountgit 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-account)<a href="https://agentmods.dev/skills/nutdnuy/webull-openapi-ai-plugin/webull-account"><img src="https://agentmods.dev/badge/skills/nutdnuy/webull-openapi-ai-plugin/webull-account.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 | $0.00040 | $0.00516 |
| Opus 5 | $0.00020 | $0.00258 |
| Sonnet 5 | $0.00008 | $0.00103 |
| Haiku 4.5 | $0.00004 | $0.00052 |
Grade A, and why
webull-account 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 — 34 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Webull account reads
Read the matching references/endpoints.json entry, follow its schema_ref into references/openapi.json, and read references/authentication.md before constructing each request. Use the official Webull Open API reference as the source.
First-use onboarding
Before the first account request, check the secure environment for WEBULL_APP_KEY and WEBULL_APP_SECRET. If the API Key is missing, ask the user to configure it through a secret manager or local environment and stop. Never request or echo secrets in chat.
Supported endpoints
GET /openapi/account/list— list authorized accounts; official reference index.GET /openapi/assets/balance— read balances; official reference index.GET /openapi/assets/positions— read positions; official reference index.
Workflow
-
Start with
/openapi/account/listwhen the account identifier is unknown. Do not guess or select an account silently. -
For balance or positions, require an account id only if that endpoint’s catalog entry marks it required. Construct its location, query, and body fields from the catalog, not from this skill or another endpoint.
-
Invoke the runtime with placeholders only:
python scripts/webull_api.py request --method GET --path /openapi/account/list python scripts/webull_api.py request --method GET --path /openapi/assets/balance --query-json '{"account_id":"<ACCOUNT_ID>"}'If the catalog specifies a different method or placement, follow the catalog.
-
Redact account ids when unnecessary, and never print tokens, signatures, or private identifiers beyond what the user needs. Treat balances and positions as sensitive personal financial data.
-
Report the environment, request timestamp, returned currency/units, and whether the response is complete. Do not calculate a recommendation, infer risk tolerance, or place/modify/cancel an order from these reads.
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 · 34 lines · 40 tokens per session scan A db8c00b43fbe
webull-account is a skill published in the GitHub repository nutdnuy/webull-openapi-AI-Plugin (26 stars, last pushed 1mo ago), licensed MIT. It adds 40 tokens to every session and 516 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.
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