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 xingwudao/open-xquant --skill configure-trade-executiongit clone --depth 1 https://github.com/xingwudao/open-xquantWrote 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/xingwudao/open-xquant/configure-trade-execution)<a href="https://agentmods.dev/skills/xingwudao/open-xquant/configure-trade-execution"><img src="https://agentmods.dev/badge/skills/xingwudao/open-xquant/configure-trade-execution/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/xingwudao/open-xquant/configure-trade-execution"><img src="https://agentmods.dev/badge/skills/xingwudao/open-xquant/configure-trade-execution.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00039 | $0.01135 |
| Opus 5.5 | $0.00016 | $0.00454 |
| Sonnet 5.5 | $0.00008 | $0.00227 |
| Haiku 4.5 | $0.00004 | $0.00113 |
Grade A, and why
configure-trade-execution 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 28d 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 — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Trade Executor
You configure execution assumptions in strategy_spec.yaml or SDK brokers.
Stable Spec Configuration
Use this for audited CLI backtests:
signal:
signal_time: close_t
execution:
trade_time: next_open
fill_price_mode: next_open
order_timing: next_session_open
price_bar: next_session
price_type: open
initial_cash: 100000
lot_size: 1
lot_size_config:
default: 1
by_symbol: {}
cash_annual_return: 0.0
insufficient_cash_policy: scale_down
rebalance:
frequency: daily
interval_days: 1
schedule: ""
cost:
fee_rate: 0.001
fee_min: 0.0
slippage_rate: 0.001
Use side-specific costs only when confirmed:
cost:
fee_rate: 0.0003
fee_min: 0.0
buy_fee_rate: 0.0003
sell_fee_rate: 0.0003
sell_tax_rate: 0.001
slippage_rate: 0.001
Validator constraints:
signal_time=close_twithtrade_time=close_tis fatal.fill_price_mode=closeormidwithsignal_time=close_tis fatal.- Legacy
trade_time/fill_price_modemust agree with explicitorder_timing/price_bar/price_typewhen both are present. fee_rateandslippage_ratemust each be positive.buy_fee_rateandsell_fee_ratemay overridefee_ratewhen the user explicitly confirms side-specific fees.sell_tax_rateandstamp_taxmodel sell-side tax. If both are set, they must match; otherwise use one confirmed field and leave the other empty or zero.- The only zero-cost exception is when both values are exactly
0.0and the spec declares explicit execution semantics for a replay-style validation run; preserve the warning. lot_sizemust be a positive integer.lot_size_config.defaultmust be a positive integer.lot_size_config.by_symbolis parsed but not executable yet; leave it empty until by-symbol sizing is supported.initial_cashmust be positive and finite.cash_annual_returnmust be non-negative and finite.insufficient_cash_policyisscale_down(default) orreject. Orders are sized from the signal bar's close but fill at a later price, so a fully invested rebalance can be a few units short of cash at fill time.scale_downfills the largest whole-lot quantity the cash affords (the fill is markedscaled_to_available_cash);rejectdrops the whole BUY and leaves that target position empty until the next rebalance.execution.rebalance.frequency=dailyusesinterval_days.frequency=weeklyrequiresschedule: week_start.frequency=monthlyrequiresschedule: month_start.- Do not use month-end or week-end calendar schedules in audited specs; those depend on future-row knowledge unless the runtime has explicit support.
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.
- 28d ago Changed · +7 lines 4444342f0f63
- 1mo ago First seen · 127 lines · 39 tokens per session scan A 5b534a42f5d2
configure-trade-execution is a skill published in the GitHub repository xingwudao/open-xquant (149 stars, last pushed 15d ago), licensed MIT. It adds 39 tokens to every session and 1,135 once invoked, about $0.0002 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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