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-watchlistsnpx skills add nutdnuy/webull-openapi-AI-Plugin --skill webull-watchlistsgit 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-watchlists)<a href="https://agentmods.dev/skills/nutdnuy/webull-openapi-ai-plugin/webull-watchlists"><img src="https://agentmods.dev/badge/skills/nutdnuy/webull-openapi-ai-plugin/webull-watchlists.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 | $0.00047 | $0.00608 |
| Opus 5 | $0.00023 | $0.00304 |
| Sonnet 5 | $0.00009 | $0.00122 |
| Haiku 4.5 | $0.00005 | $0.00061 |
Grade A, and why
webull-watchlists 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 3d 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 — 45 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Webull watchlists
Read the relevant object in references/endpoints.json, follow its schema_ref into references/openapi.json, and read references/authentication.md before building parameters or JSON. Consult the official Webull Open API reference.
First-use onboarding
Before the first watchlist request, check for WEBULL_APP_KEY and WEBULL_APP_SECRET in the secure environment. If the API Key is missing, ask the user to configure it securely and stop. Never ask the user to paste the App Secret or access token into chat.
Supported endpoints
GET /openapi/market-data/watchlist/list— read-only list.POST /openapi/market-data/watchlist/createPOST /openapi/market-data/watchlist/updatePOST /openapi/market-data/watchlist/deleteGET /openapi/market-data/watchlist/instruments/list— read-only instrument list.POST /openapi/market-data/watchlist/instruments/addPOST /openapi/market-data/watchlist/instruments/updatePOST /openapi/market-data/watchlist/instruments/remove
All paths are documented in the official reference index.
Workflow and confirmation gate
-
Use the catalog entry to determine the exact method, identifiers, parameter placement, and body schema. Do not reuse a body between watchlist endpoints or invent a watchlist id.
-
Execute read-only list calls directly when authorized:
python scripts/webull_api.py request --method GET --path /openapi/market-data/watchlist/list python scripts/webull_api.py request --method GET --path /openapi/market-data/watchlist/instruments/list --query-json '{"watchlist_id":"<WATCHLIST_ID>"}' -
For every write path, first summarize the exact endpoint, target watchlist/instrument, and redacted request body. Ask for explicit confirmation immediately before the call. A request to “show”, “review”, or “find” a watchlist never authorizes a write.
-
After confirmation, invoke the catalog-shaped request, for example:
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.
- 3d ago First seen · 45 lines · 47 tokens per session scan A bcbf4e1d4c98
webull-watchlists is a skill published in the GitHub repository nutdnuy/webull-openapi-AI-Plugin (26 stars, last pushed 1mo ago), licensed MIT. It adds 47 tokens to every session and 608 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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