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 longsizhuo/openInvest --skill invest-ibkrgit clone --depth 1 https://github.com/longsizhuo/openInvestWrote 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/longsizhuo/openinvest/invest-ibkr)<a href="https://agentmods.dev/skills/longsizhuo/openinvest/invest-ibkr"><img src="https://agentmods.dev/badge/skills/longsizhuo/openinvest/invest-ibkr/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/longsizhuo/openinvest/invest-ibkr"><img src="https://agentmods.dev/badge/skills/longsizhuo/openinvest/invest-ibkr.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 | $0.00166 | $0.01653 |
| Opus 5.5 | $0.00066 | $0.00661 |
| Sonnet 5.5 | $0.00033 | $0.00331 |
| Haiku 4.5 | $0.00017 | $0.00165 |
Grade A, and why
invest-ibkr 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 5d 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 — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Invest IBKR Skill (BETA)
⚠️ BETA — do not use. This drives real money in a real brokerage account with no per-trade human confirmation. It exists for one operator's own experiment. There is no support and no guarantee, it can lose money, and every switch defaults to off. If you are not that operator, stop reading and use the
investskill.
Full reference: docs/wiki/24-ibkr-autopilot.md in the openInvest repo. This page is the short operator card.
What it is
openinvest ibkr_autopilot …(jobjobs/ibkr_autopilot.py) runs against a separateINVEST_HOMEwhosetarget_assetsare the US tickers held at Interactive Brokers. The production hub and every fork stay untouched:ibkr.enabled=falseandibkr.dry_run=trueby default, and theibkr.*keys are deliberately not settable throughconfig/ MCP / the web API (onlyINVEST_IBKR_*env or that home'smemory/.state/config_overrides.json).- Broker access is a local IB Gateway (TWS API,
ib_async). IBKR's OAuth 1.0a Web API is institutional-only, so individual accounts cannot run fully headless: the account holder approves an IB Key push on their phone about once a week. - Decisions: an LLM picks ≤5 tickers weekly and writes the day's orders; the openInvest committee's verdicts are only a reference input. Optionally a resident Claude Code session (tmux, Remote Control) makes those decisions instead of a per-run LLM call (see "Resident session").
Commands
Safe to run in conversation (read-only):
| Command | What |
|---|---|
ibkr_autopilot status |
Broker cash / positions / open orders / today's fills + local ledger + list + today's orders + halt flag |
ibkr_autopilot brief [--kind pick] |
The full decision context (rules, account, list, committee verdicts, IBKR news headlines) |
ibkr_autopilot news [--symbols A,B] [--days N] / --article PROVIDER:ID |
IBKR's free news (Briefing.com, Dow Jones) — untrusted external text |
ibkr_autopilot news_check |
New headlines for the list + holdings since the last check (marks them seen; cron use) |
ibkr_autopilot committee |
No orders: runs the 4-role committee report + verdict_review (minutes, spends LLM credits) |
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.
- 5d ago First seen · 86 lines · 166 tokens per session scan A 314172b58707
invest-ibkr is a skill published in the GitHub repository longsizhuo/openInvest (133 stars, last pushed yesterday), licensed MIT. It adds 166 tokens to every session and 1,653 once invoked, about $0.0007 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 2026-10-20.
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