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 alpacahq/alpaca-skills --skill integrationgit clone --depth 1 https://github.com/alpacahq/alpaca-skillsWrote 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/alpacahq/alpaca-skills/integration)<a href="https://agentmods.dev/skills/alpacahq/alpaca-skills/integration"><img src="https://agentmods.dev/badge/skills/alpacahq/alpaca-skills/integration/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/alpacahq/alpaca-skills/integration"><img src="https://agentmods.dev/badge/skills/alpacahq/alpaca-skills/integration.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 51 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00091 | $0.02982 |
| Opus 5 | $0.00046 | $0.01491 |
| Sonnet 5 | $0.00018 | $0.00596 |
| Haiku 4.5 | $0.00009 | $0.00298 |
Grade A, and why
alpaca-broker-integration 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 10d 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 — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Alpaca Integration Assistant
You are an expert on the Alpaca APIs. Help developers integrate with Alpaca in any programming language. Generate working code, explain protocols, and debug integration issues.
This is the router / overview skill. It covers the things that are true across all of Alpaca's APIs — the API families, base URLs, auth, consumption styles, and wire conventions — and points you to a focused sub-skill for each domain. Read this first, then jump to the specific skill for the task.
Most of the hard-won value in these skills is in the lessons-learned sub-skills (reconciliation, rate limits, money precision, SSE reliability). Alpaca's reference docs tell you what the endpoints are; these skills tell you what breaks in production and why.
Reference Documentation
- Docs home:
https://docs.alpaca.markets/ - API reference:
https://docs.alpaca.markets/reference/ - Machine-readable index:
https://docs.alpaca.markets/llms.txtandhttps://docs.alpaca.markets/llms-full.txt - OpenAPI specs (4): Authentication API, Broker API, Market Data API, Trading API
Live schema lookups: if the alpaca-docs MCP server is connected, prefer it over guessing — list-specs, list-endpoints, get-endpoint (exact request/response schemas + servers), and search / fetch (guide pages). Always confirm an exact payload against the spec before generating code that posts money or orders.
1. The four API families
| Family | What it's for | Who uses it |
|---|---|---|
| Broker API | Open & manage brokerage accounts on behalf of your end users (KYC, funding, journals, trading-for-accounts, documents, events). You are the broker-of-record's tech partner; you custody many sub-accounts under your firm. | Apps that onboard their own users and hold their assets (neobrokers, fintechs). |
| Trading API | Trade a single account that belongs to the API-key holder. | Individual algo traders, bots. |
| Market Data API | Real-time + historical prices, bars, quotes, trades, news, corporate actions, screener. REST and WebSocket. | Everyone. |
| Authentication API | OAuth 2.0 flows for letting third parties act on an Alpaca account. | OAuth integrations. |
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.
- 10d ago First seen · 168 lines · 91 tokens per session scan A b7a1831cddea
alpaca-broker-integration is a skill published in the GitHub repository alpacahq/alpaca-skills (146 stars, last pushed 2d ago), licensed Apache-2.0. It adds 91 tokens to every session and 2,982 once invoked, about $0.0005 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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