Real Skill packageSource verifiedClawHub registry

小果通达信公式转Python

小果(微信:xg_quant)通达信公式转Python量化函数库。提供100+核心函数、30+技术指标、12+完整交易策略， 支持将通达信指标公式无缝迁移至Python量化环境，实现策略回测、数据分析与实盘交易信号生成。 触发关键词：通达信、TDX、公式转换、指标迁移、选股公式、技术指标、量化策略、回测、 买卖信号、金叉死叉、MACD、KDJ、RSI、BOLL、SAR、CCI、OBV、DMI、BIAS、 PSY、BRAR、CR、MASS、WAD、ASI、EMV、DPO、CHO、WVAD、TRIX、UOS、VTP、BBI、 EXPMA、ENE、PBX、MIKE、XS、TQN、BBIBOLL

Identity and source

Publisher attributionli152registry owner unverified by skillvetai
Functional categorySoftware Developmentautomatically inferred · 56% rule confidence
Package forminstruction bundle2 recorded files
Canonical sourceClawHub registryclawhub:li152:xg-tdx-python
Open canonical source ↗

Platform declarations

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OpenClawnative officialProvenance: registry distribution

Independent structural checks

These checks parse the fixed package against dated platform rules. They do not execute the Skill or verify task behavior.

Claude Codeissues found
Checker 0.1.0 · agent-skills-2026-08-13+claude-code-docs-2026-08-13 · 9/1/2026.claude/skills/<skill-name>
1 structural issue
  • error: The fixed release did not provide readable SKILL.md content. SKILL.md

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

OpenAI Codexissues found
Checker 0.1.0 · agent-skills-2026-08-13+codex-docs-2026-08-13 · 9/1/2026.agents/skills/<skill-name>
1 structural issue
  • error: The fixed release did not provide readable SKILL.md content. SKILL.md

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

OpenClawissues found
Checker 0.1.0 · agent-skills-2026-08-13+openclaw-docs-2026-08-13 · 9/1/2026skills/<skill-name>
1 structural issue
  • error: The fixed release did not provide readable SKILL.md content. SKILL.md

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

Installation and inspection

This command is recorded from the source ecosystem and resolves the registry's latest release. The fixed release shown on this page should be inspected before adoption.

clawhub install @li152/xg-tdx-python
clawhub inspect @li152/xg-tdx-python --version 1.0.0

Security evidence

SkillVetAI static result: medium signal

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Status
completed
Coverage
partial text content
Files
1 / 2 inspected as text
Checked
9/1/2026, 12:43:08 PM
Scanner
0.1.3
Policy
1.0.3
1 automated finding
mediumSKILL.md content was not available to the scannerSKILL.md · confidence 100%content unavailable
1 inferred permission indicators
  • network access — automatically inferred
1 dependency and API indicators
  • api: clawhub.ai
External clawhub result: clean

This is registry-supplied evidence for the recorded release, not an independent SkillVetAI scan. Check the canonical source for the full report, scanner versions, scope, and current moderation state.

Evidence checked
9/1/2026, 2:35:57 AM
Release binding
Matches this record
  • vt: clean
  • skillspector: clean
  • llm: clean

Recorded files

The catalog stores hashes and an inventory summary for change detection. It does not republish the package contents.

Package content hashsha256:22d851ceded352bbdf767921a89d38f2a20a2eed49a36e1d6c1506fd95a337e3
Show up to 2 recorded paths
  • skill-card.md
  • SKILL.md

Source changelog

xg-tdx-python 2.0.0 Major update: Now provides a comprehensive library for migrating TDX formulas to Python, including 100+ functions, 30+ indicators, and 12+ trading strategies. - Seamlessly converts TDX indicator formulas to Python for backtesting, analysis, and live signal generation. - All functions require DataFrame input and return numpy arrays or pandas Series for easy integration. - Includes detailed function mapping for core calculations, time series, logic, and signal processing. - Extensive built-in technical indicator library covering trend, energy, and moving average systems. - Strategies and tools fully compatible with pandas/numpy workflows.