agentmods.dev

webull-openapi-thai-lab AGENTS.md

A guide for a Thai learning lab built around the Webull OpenAPI Python software kit, which provides programmatic access to Webull services. It explains the intended learning path, project structure, and safety limits.

In plain words
What is it for?
Use it when changing lessons, account or market-data examples, order previews, configuration, or command-line tools.
Why use it?
It keeps examples focused on the test environment and reduces the risk of exposing credentials or placing real orders accidentally.

Instructions file for CodexOpenCode

58 16d ago A scan 970 tokens original MIT
View the source file nutdnuy/webull-openapi-thai-lab
Install

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.

agentmods
npx agentmods add instructions/nutdnuy/webull-openapi-thai-lab/agents-md
Clone the repo
git clone --depth 1 https://github.com/nutdnuy/webull-openapi-thai-lab

Made for: Codex, OpenCode.

Per session 970 This file is loaded in full into every session.
When invoked 970 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00970 $0.00970
Opus 5 $0.00485 $0.00485
Sonnet 5 $0.00194 $0.00194
Haiku 4.5 $0.00097 $0.00097

Measured 3d ago against content hash 29d5a3884053, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

webull-openapi-thai-lab AGENTS.md 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.

AGENTS.md · 97 lines

How it starts

The opening of the file, as written. The whole thing — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent Guide

This repository is a Thai learning lab for the Webull OpenAPI Python SDK. It is educational code, not a production trading system.

First Read

When an AI assistant receives only the GitHub link, read these files in order:

  1. README.md for the course overview, install steps, and learning path.
  2. docs/00-learning-path-th.md for the Thai lesson sequence.
  3. .env.example for configuration names without secrets.
  4. src/webull_lab/config.py for environment loading and redaction rules.
  5. src/webull_lab/orders.py before changing anything related to orders.

Project Intent

  • Teach Thai users how to start with Webull OpenAPI safely.
  • Keep UAT as the default environment.
  • Separate read-only account calls, market data calls, and order workflows.
  • Demonstrate order preview first; live order placement must remain guarded.
  • Make the repository easy for Claude, Codex, and other coding assistants to inspect.

Safety Rules

  • Never commit real WEBULL_APP_KEY, WEBULL_APP_SECRET, tokens, account IDs, .env, .webull-token/, private data, or screenshots containing credentials.
  • Keep all examples safe for UAT by default.
  • Do not add a CLI command that places live orders by default.
  • place_stock_limit_buy must stay blocked unless WEBULL_ALLOW_LIVE_ORDERS=I_UNDERSTAND is set explicitly.
  • Do not print raw secrets or raw account IDs in logs, errors, docs, or tests.
  • Treat investment/trading content as education and risk-aware workflow design, not return prediction.

Repository Map

  • README.md - user-facing landing page and quick start.
  • docs/ - Thai tutorial lessons.
  • notebooks/webull_th_beginner.ipynb - beginner AAPL close price notebook for api.webull.co.th.
  • notebooks/README.md - endpoint-split notebook learning order.
  • notebooks/00_auth_token.ipynb through notebooks/05_order_preview_guardrails.ipynb - endpoint-focused notebooks with offline samples and guarded live mode.
  • scripts/build_webull_th_beginner_notebook.py - source builder for regenerating the notebook.
  • scripts/build_endpoint_notebooks.py - source builder for regenerating endpoint-split notebooks.
  • src/webull_lab/config.py - .env loading, UAT/prod endpoint selection, secret redaction.
  • src/webull_lab/clients.py - Webull SDK client factories.
  • src/webull_lab/account.py - read-only account helper functions.
  • src/webull_lab/market_data.py - market data helper functions.
  • src/webull_lab/orders.py - preview and guarded live-order helper functions.
  • src/webull_lab/cli.py - webull-lab Typer CLI.
  • tests/ - offline tests with fake clients; tests should not require real Webull credentials.

Read the full file on GitHub · 97 lines

Changes

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.

  1. 3d ago First seen · 97 lines · 970 tokens per session scan A 29d5a3884053

Subscribe to this mod's changes

webull-openapi-thai-lab AGENTS.md is an instructions file published in the GitHub repository nutdnuy/webull-openapi-thai-lab (58 stars, last pushed 16d ago), licensed MIT. It adds 970 tokens to every session, about $0.0049 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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