quantcli: Instructions file for Claude Code

CLAUDE.md

quantcli CLAUDE.md is an instructions file for Claude Code from wumu2013/quantcli. It costs 2,660 tokens per session, scanned A, original, MIT.

A project instruction file for QuantCLI, a command-line tool for selecting stocks using several measurable factors. It explains the project's structure, design rules, data handling, and multi-stage filtering process.

In plain words
What is it for?
Use it when working on QuantCLI's data sources, formula parser, core engine, JSON output, or stock-selection pipeline.
Why use it?
It gives a coding agent the repository context and rules it needs to make consistent changes. This reduces guesswork about where code belongs and how the tool should behave.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: mentions CLAUDE.md; mentions Claude Code.

This is wumu2013/quantcli's own configuration. It tells Claude Code how to work on quantcli itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything quantcli configures →

Reuse

Borrowing it

Nothing to install: this file belongs to wumu2013/quantcli. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/wumu2013/quantcli/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/wumu2013/quantcli

Made for: Claude Code.

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Per session 2,660 This file is loaded in full into every session.
When invoked 2,660 The same file — it is already loaded in full.
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 $0.02660 $0.02660
Opus 5.5 $0.01064 $0.01064
Sonnet 5.5 $0.00532 $0.00532
Haiku 4.5 $0.00266 $0.00266

Measured 2mo ago against content hash 7849d882a50e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

quantcli CLAUDE.md 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.

CLAUDE.md · 312 lines

How it starts

The opening of the file, as written. The whole thing — 312 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

Project Overview

QuantCLI - A multi-factor stock selection CLI tool for quantitative research.

AI Agent Friendly: Designed for AI Agent integration with:

  • JSON output mode (--json) for structured data
  • Claude Code Skill support (/skill multi-factor-strategy)
  • Idempotent APIs for safe retries
  • Alpha101 factor library examples

Target Users: Individual quant researchers, students, part-time investors, AI Agents

Core Design Principles

  • Let it Crash: Fail fast, fail loud. No tolerance for silent errors. Force correctness.
  • YAGNI: You Aren't Gonna Need It. Resist over-engineering. Solve today's problems.
  • 80/20 Rule: 80% of use cases covered by 20% of features.
  • DataFrame First: All APIs return/accept pd.DataFrame, not List[Dict].

Architecture

quantcli/
├── datasources/      # 数据源适配器 (akshare, baostock, mixed, mysql)
├── parser/           # 公式表达式解析器 (40+ 内置函数)
│   ├── formula.py    # 核心解析器
│   └── constants.py  # BUILTIN_FUNCTIONS, COLUMN_ALIASES
├── core/             # 核心引擎
│   ├── data.py       # DataManager: 缓存、清洗
│   ├── factor.py     # FactorEngine, Factor, FactorRegistry
│   └── backtest.py   # BacktestEngine, YAMLBacktestEngine
├── factors/          # 因子配置 (推荐使用新 API)
│   ├── base.py       # 数据类 (FactorDefinition, StrategyConfig, BacktestConfig)
│   ├── loader.py     # load_strategy(), load_factor(), load_all_factors()
│   ├── screening.py  # ScreeningEvaluator
│   ├── compute.py    # FactorComputer (返回 DataFrame)
│   ├── ranking.py    # FactorRanker, ScoringEngine
│   └── pipeline.py   # FactorPipeline: 多阶段编排
├── cli.py            # CLI 入口点
└── utils/            # 工具函数

Multi-Stage Filter Pipeline Flow

Stage 1: fundamental_data → fundamental_conditions → candidates
Stage 2: price_data → daily_conditions → filtered candidates
Stage 3: factors → weight fusion + conditions + bonuses → ranked results

Read the full file on GitHub · 312 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. 2mo ago First seen · 312 lines · 2,660 tokens per session scan A 7849d882a50e

Subscribe to this mod's changes

quantcli CLAUDE.md is an instructions file published in the GitHub repository wumu2013/quantcli (5 stars, last pushed 9mo ago), licensed MIT. It adds 2,660 tokens to every session, about $0.0106 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.

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