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 Kelu0427/fubon-tradeapi-ai-skill --skill fubon-tradeapi-ai-skillgit clone --depth 1 https://github.com/Kelu0427/fubon-tradeapi-ai-skillWrote 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/kelu0427/fubon-tradeapi-ai-skill/fubon-tradeapi-ai-skill)<a href="https://agentmods.dev/skills/kelu0427/fubon-tradeapi-ai-skill/fubon-tradeapi-ai-skill"><img src="https://agentmods.dev/badge/skills/kelu0427/fubon-tradeapi-ai-skill/fubon-tradeapi-ai-skill/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/kelu0427/fubon-tradeapi-ai-skill/fubon-tradeapi-ai-skill"><img src="https://agentmods.dev/badge/skills/kelu0427/fubon-tradeapi-ai-skill/fubon-tradeapi-ai-skill.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 | $0.00108 | $0.01909 |
| Opus 5.5 | $0.00043 | $0.00764 |
| Sonnet 5.5 | $0.00022 | $0.00382 |
| Haiku 4.5 | $0.00011 | $0.00191 |
Grade A, and why
fubon-trade-api 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 2mo 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 — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Fubon TradeAPI Skill
Use this skill whenever the user asks for help with Fubon Neo, Fubon Securities API, Fubon TradeAPI, 富邦新一代 API, 富邦證券 API, or natural-language-to-code assistance for Fubon market data, trading, account, futures/options, condition-order workflows, or large-project Fubon API audits.
Source Of Truth
- Official online index:
https://www.fbs.com.tw/TradeAPI/llms.txt. Use first for navigation when network is available. - Official online full docs:
https://www.fbs.com.tw/TradeAPI/llms-full.txt. Use for exact signatures, object fields, examples, constants, version notes, and error codes when network is available. - Bundled
llms.txtandllms-full.txt: local cache and offline fallback. references/fubon-api-guidance.md: local workflow and recurring gotchas for agents.scripts/search_docs.py: deterministic search/extract/sync helper for official online docs and local cached docs.
Do not invent API names, enum names, parameter order, or object fields. Prefer official online llms-full.txt; if network is unavailable, use the bundled llms-full.txt cache and say it is the local snapshot.
Workflow
- Classify the user's intent:
- SDK setup/version compatibility, local environment checks, and latest SDK installation/update
- authentication, password login, API Key login, certificate login
- market data REST
- market data WebSocket
- stock trading and stock account queries
- futures/options trading and account queries
- smart/conditional orders
- large-project audit for an existing app/repository using Fubon APIs
- error handling, reconnect, or rate limit behavior
- Determine the target language. If unspecified, default to Python and say that assumption.
- Search the docs with
scripts/search_docs.py; add--onlinewhen current official docs are needed and network is available. - Read the exact matching section(s) from
llms-full.txt; prefer official examples in the user's language. - Produce code that includes imports, login/init steps, object construction, API call, response/error handling, and logout/cleanup when relevant.
- If reviewing code, check every SDK call, enum, object field, and argument order against
llms-full.txt.
What ships with it
3 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.
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.
- 2mo ago First seen · 123 lines · 108 tokens per session scan A 6afa1961c833
fubon-trade-api is a skill published in the GitHub repository Kelu0427/fubon-tradeapi-ai-skill (48 stars, last pushed 4mo ago), licensed MIT. It adds 108 tokens to every session and 1,909 once invoked, about $0.0004 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 2026-08-30.
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