Borrowing it
Nothing to install: this file belongs to haiiibin/claude-multi-agent-investing. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/haiiibin/claude-multi-agent-investing/main/.claude/commands/trade.mdgit clone --depth 1 https://github.com/haiiibin/claude-multi-agent-investingWrote 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/commands/haiiibin/claude-multi-agent-investing/trade)<a href="https://agentmods.dev/commands/haiiibin/claude-multi-agent-investing/trade"><img src="https://agentmods.dev/badge/commands/haiiibin/claude-multi-agent-investing/trade/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/commands/haiiibin/claude-multi-agent-investing/trade"><img src="https://agentmods.dev/badge/commands/haiiibin/claude-multi-agent-investing/trade.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 | $0.00032 | $0.01439 |
| Opus 5.5 | $0.00013 | $0.00576 |
| Sonnet 5.5 | $0.00006 | $0.00288 |
| Haiku 4.5 | $0.00003 | $0.00144 |
Grade A, and why
trade 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 — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/trade -- Sync Completed Trade
Record a trade the user executed on their broker platform. Updates holdings.json and logs to memory/long_term/trades.md for audit trail.
Input
Natural language from $ARGUMENTS, examples:
昨天在 broker-a-taxable 买了 20 股 NVDA @ $195sold 50 AAPL from broker-a-taxable at $182 todayTFSA 加仓 SHOP.TO 30 股 @CAD$175, 成本摊到均价trim half of MSFT in broker-a-taxable at $420
Steps
-
Parse the trade. Extract:
- Action: buy / sell / add / trim / close
- Ticker -- normalize class-share suffix:
BRK.B/BRK/B→BRK-B,BF.B→BF-B(yfinance quirk per CLAUDE.md). Store the yfinance-valid form in holdings.json. - Shares
- Price
- Account (match to holdings.json account_id -- or ask if ambiguous)
- Date (default today if not specified)
- Currency (infer from account's base_currency)
-
Ask once if critical info missing. Don't over-ask. If user wrote "bought NVDA in broker-a-taxable" without shares/price, ask one question: "How many shares and at what price?"
-
Validate.
- If selling, does the account actually hold this ticker + enough shares?
- If TFSA buy of high-yield US stock → flag the withholding trap before proceeding. Sanity-check yfinance
dividendYieldper CLAUDE.md quirks: divide by 100 if > 15%, or recompute fromtrailingAnnualDividendRate / currentPrice. Don't flag trap on a false-high yield number. - If position size after trade crosses a concentration tier (see CLAUDE.md: ≤7% neutral, 7-12% flag, 12-20% DRAFT, >20% HIGH-RISK) → note the tier in confirmation. Trades don't block -- /trade records what already happened.
- If buying with insufficient cash in the account → flag and ask whether to deduct from cash or assume deposit arrived
-
Update
holdings.json.IMPORTANT -- Canadian ACB is pooled across ALL accounts for the same identical property. CRA treats identical property held in multiple accounts as ONE pool for cost basis purposes. This means:
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 · 98 lines · 32 tokens per session scan A 7928d7a8925d
trade is a command published in the GitHub repository haiiibin/claude-multi-agent-investing (2 stars, last pushed 1mo ago), licensed MIT. It adds 32 tokens to every session and 1,439 once invoked, about $0.0001 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 2026-08-31.
Other commands, from other repositories
tax-sanity
Tax awareness sanity-check (NOT tax advice). Walks through entity tax-efficiency, deductions, growth structure, quarterly estimateds, multi-jurisdiction, retirement/long-term questions. Produces a Tax Readiness Checklist for the person's meeting with their accountant.
model-revenue
Produce a Revenue Model — current revenue map by stream, target revenue map, concentration risk flags, margin analysis, unit economics, growth-curve shape per stream, compounding-vs-linear assessment. Composes with Genius Profile Freedom Path buckets. Not financial advice.
portfolio
View TastyTrade portfolio summary (positions and balances).
pm-pricing
Author or refresh a pricing plan — 2–3 monetization models with willingness-to-pay rationale per audience. Spawns pricing-strategist.
pm-burn
Cost burn-rate — LLM cost over the last N days vs a human-equivalent baseline (savingsx). Flags cost outliers and abnormal-burn agents.
sages
Summon the Market Sages council to analyze a stock (e.g. /sages AAPL, /sages NVDA --value).