create-rule

create-rule is a skill for Claude Code, Codex from xingwudao/open-xquant. It costs 34 tokens per session (854 once invoked), scanned A, original, MIT.

A development guide for creating an open-xquant Rule, a piece of logic that changes holdings, weights, or exits as each market bar is processed.

In plain words
What is it for?
Use it to add built-in risk controls, holding rules, weight overrides, or exit behavior, together with portfolio-state tests and registry wiring.
Why use it?
It makes the rule's timing, trigger behavior, returned fields, and no-trigger result explicit before implementation.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to add built-in risk controls, holding rules, weight overrides, or…

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Install with agentmods
npx agentmods add skills/xingwudao/open-xquant/create-rule
Install

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.

Any agent
npx skills add xingwudao/open-xquant --skill create-rule
Clone the repo
git clone --depth 1 https://github.com/xingwudao/open-xquant

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for create-rule

README.md
[![agentmods](https://agentmods.dev/badge/skills/xingwudao/open-xquant/create-rule.svg)](https://agentmods.dev/skills/xingwudao/open-xquant/create-rule)
Your own site
<a href="https://agentmods.dev/skills/xingwudao/open-xquant/create-rule"><img src="https://agentmods.dev/badge/skills/xingwudao/open-xquant/create-rule.svg" alt="Measured on agentmods" height="20"></a>
Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 854 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00034 $0.00854
Opus 5 $0.00017 $0.00427
Sonnet 5 $0.00007 $0.00171
Haiku 4.5 $0.00003 $0.00085

Measured 7d ago against content hash 3156176e4880, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

create-rule 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 7d 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.

agent/skills/create-rule/SKILL.md · 146 lines

How it starts

The opening of the file, as written. The whole thing — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Create Rule

You create bar-by-bar risk, hold, weight override, or exit logic.

Scope

Default built-in paths:

  • source: src/oxq/rules/{snake_name}.py
  • tests: tests/rules/test_{snake_name}.py
  • package export: src/oxq/rules/__init__.py
  • built-in registry: src/oxq/core/registry.py

Phase 1: Read Existing Patterns

Read before editing:

  • src/oxq/core/types.py
  • src/oxq/core/engine.py rule handling in step()
  • src/oxq/rules/constraint.py
  • src/oxq/rules/order.py
  • one existing test in tests/rules/
  • src/oxq/rules/__init__.py
  • the rule registration block in src/oxq/core/registry.py

Important current engine behavior:

  • pre-trade consumes RuleResult.weights
  • pre-trade consumes RuleResult.hold
  • post-trade consumes RuleResult.target_positions
  • RuleResult.constraints exists in the type but is not currently applied by Engine.step()

Phase 2: Define Behavior

State before coding:

  • pre-trade or post-trade
  • trigger condition
  • fields returned in RuleResult
  • constructor parameters
  • internal state, if any
  • reset behavior, if any
  • exact no-trigger result

Ask the user if risk thresholds or trigger semantics are ambiguous.

Phase 3: Test First

Write tests with hand-built portfolio and bar rows:

  • protocol compliance with Rule
  • trigger scenario
  • no-trigger scenario returns empty RuleResult()
  • correct reason when activated
  • no mutation of Portfolio
  • stateful behavior if relevant
  • name value

Run the new test and confirm the missing implementation fails before coding.

uv run pytest tests/rules/test_{snake_name}.py -v

Phase 4: Implement

Skeleton:

"""Short description rule."""

from __future__ import annotations

from decimal import Decimal

import pandas as pd

from oxq.core.types import Portfolio, RuleResult


class ClassName:
    """Short behavior description."""

    name = "ClassName"

    def __init__(self, threshold: float) -> None:
        self.threshold = threshold

    def evaluate(
        self,
        symbol: str,
        row: pd.Series,
        portfolio: Portfolio,
        prices: dict[str, Decimal] | None = None,
    ) -> RuleResult:
        """Return a RuleResult when the rule activates."""
        ...

Read the full file on GitHub · 146 lines

Changes

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.

  1. 7d ago First seen · 146 lines · 34 tokens per session scan A 3156176e4880

Subscribe to this mod's changes

create-rule is a skill published in the GitHub repository xingwudao/open-xquant (126 stars, last pushed 4d ago), licensed MIT. It adds 34 tokens to every session and 854 once invoked, about $0.0002 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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