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Climate Esg Investing

Name: Climate Esg Investing
Author: tangweigang-jpg

作者 Tang Weigang · GitHub ↗ · v0.3.3 · MIT-0

cross-platform ⚠ suspicious

总下载

当前安装

版本数

在 OpenClaw 中安装

/install climate-esg-investing

功能描述

使用Fama-French因子模型进行气候ESG投资分析，支持月度股价数据下载、因子相关性计算、OLS回归诊断及显著性筛选，帮助用户构建因子组合和风险评估。

使用说明 (SKILL.md)

ESG 气候投资 (climate-esg-investing)

使用Fama-French因子模型进行气候ESG投资分析，支持月度股价数据下载、因子相关性计算、OLS回归诊断及显著性筛选，帮助用户构建因子组合和风险评估。

Pipeline

data_collection -> data_storage -> factor_computation -> target_selection -> trading_execution -> visualization

Top Use Cases (9 total)

Sector Stock Count and Significant Factor Regression Analyzer (`UC-101`)

Identifies how many stocks from an index fall into each sector and screens for stocks with statistically significant factor regression results based o Triggers: sector composition, significant regression, p-value screening

Factor Correlation Calculator (`UC-102`)

Computes correlations between different factors over time to understand factor relationship dynamics and potential multicollinearity issues Triggers: factor correlation, correlation matrix, factor relationships

OLS Regression with Diagnostic Statistics (`UC-103`)

Performs ordinary least squares regression on factor data with comprehensive diagnostic tests including Durbin-Watson, Jarque-Bera, and Breusch-Pagan Triggers: OLS regression, diagnostic tests, statistical tests

For all 9 use cases, see references/USE_CASES.md.

Execute trigger: When user intent matches intent_router.uc_entries[].positive_terms AND user uses action verb (run/execute/跑/执行/backtest/fetch/collect)

What I'll Ask You

Target market: A-share (default), HK, or crypto? (US stocks in ZVT are half-baked — stockus_nasdaq_AAPL exists but coverage is thin)
Data source / provider: eastmoney (free, no account), joinquant (account+paid), baostock (free, good history), akshare, or qmt (broker)?
Strategy type: MACD golden-cross, MA crossover, volume breakout, fundamental screen, or custom factor?
Time range: start_timestamp and end_timestamp for backtest period
Target entity IDs: specific stocks (stock_sh_600000) or index components (SZ1000)?

Semantic Locks (Fatal)

ID	Rule	On Violation
`SL-01`	Execute sell orders before buy orders in every trading cycle	halt
`SL-02`	Trading signals MUST use next-bar execution (no look-ahead)	halt
`SL-03`	Entity IDs MUST follow format entity_type_exchange_code	halt
`SL-04`	DataFrame index MUST be MultiIndex (entity_id, timestamp)	halt
`SL-05`	TradingSignal MUST have EXACTLY ONE of: position_pct, order_money, order_amount	halt
`SL-06`	filter_result column semantics: True=BUY, False=SELL, None/NaN=NO ACTION	halt
`SL-07`	Transformer MUST run BEFORE Accumulator in factor pipeline	halt
`SL-08`	MACD parameters locked: fast=12, slow=26, signal=9	halt

Full lock definitions: references/LOCKS.md

Top Anti-Patterns (14 total)

AP-MACRO-DATA-001: SEC EDGAR Rate Limit Violation
AP-MACRO-DATA-002: Temporal Knowledge Graph Look-Ahead Bias
AP-MACRO-DATA-003: Technical Indicator Look-Ahead Bias via Missing Shift

All 14 anti-patterns: references/ANTI_PATTERNS.md

Evidence Quality Notice

[QUALITY NOTICE] This crystal was compiled from blueprint finance-bp-105. Evidence verify ratio = 3.3% and audit fail total = 20. Generated results may have uncaptured requirement gaps. Verify critical decisions against source files (LATEST.yaml / LATEST.jsonl).

Reference Files

File	Contents	When to Load
references/seed.yaml	V6+ 全量权威 (source-of-truth)	有行为/决策争议时必读
references/ANTI_PATTERNS.md	14 条跨项目反模式	开始实现前
references/WISDOM.md	跨项目精华借鉴	架构决策时
references/CONSTRAINTS.md	domain + fatal 约束	规则冲突时
references/USE_CASES.md	全量 KUC-* 业务场景	需要完整示例时
references/LOCKS.md	SL-* + preconditions + hints	生成回测/交易代码前
references/COMPONENTS.md	AST 组件地图（按 module 拆分）	查 API 时

Compiled by Doramagic crystal-compilation-v6.1 from finance-bp-105 blueprint at 2026-04-22T13:00:49.775031+00:00. See human_summary.md for non-technical overview.

安全使用建议

This skill appears to be a legitimate Fama‑French ESG analysis pipeline, but it omits declaring the runtime dependencies and credentials it actually expects. Before installing or running it: 1) Confirm you trust the source (homepage/source unknown). 2) Expect to need Python 3.12+, the 'zvt' ecosystem, and a writable ZVT_HOME (~/.zvt) — the skill's preconditions will attempt to import zvt and touch that directory. 3) Plan for database access (Postgres) and provider API credentials (joinquant/qmt) if you will use those data sources; do not put those secrets into an environment the skill hasn't declared. 4) Run in an isolated environment or sandbox first (container/VM) so the skill's Python checks and potential DB initializations cannot affect your primary system. 5) If you want to proceed, ask the author to (a) publish an install spec and explicit required env vars/credentials, (b) remove or document any filesystem writes, and (c) clarify whether the agent will run arbitrary python commands locally or only provide code snippets for the user to run.

功能分析

Type: OpenClaw Skill Name: climate-esg-investing Version: 0.3.3 The skill bundle provides a structured framework for climate-related ESG investment analysis using Fama-French factor models and the ZVT quantitative library. The extensive instructions in SKILL.md and references/seed.yaml (including 'Semantic Locks' and 'Fatal Constraints') are designed to enforce econometric rigor, ensure regulatory compliance (e.g., preventing misleading performance claims), and avoid common financial modeling errors like look-ahead bias. No evidence of data exfiltration, malicious execution, or harmful prompt injection was found; the complex instruction set functions as a robust set of guardrails for the AI agent's analytical behavior.

能力标签

cryptocan-make-purchases

能力评估

ℹ Purpose & Capability

The name/description (Fama‑French ESG analysis, data fetch, regression/backtest) aligns with the SKILL.md content and many use-cases. However, SKILL.md requires Python 3.12+, ZVT library, ZVT_HOME, and database access (Postgres) in its preconditions and components, but the registry metadata lists no required binaries, env vars, or credentials — an inconsistency indicating undeclared dependencies.

⚠ Instruction Scope

Runtime instructions (and seed.yaml) instruct the agent to re-read seed.yaml, run Python precondition checks that import zvt and touch ZVT_HOME, initialize databases, and execute pipeline steps. Those steps access local filesystem (touching ~/.zvt or ZVT_HOME), import local/third-party Python packages, and may attempt DB operations. While relevant to a backtest pipeline, these actions are not explicitly declared and grant the agent broad discretion to run Python commands and interact with local files/DBs.

✓ Install Mechanism

This is instruction-only (no install spec, no downloads, no code files to execute). That lowers install-time risk. Note seed.yaml contains an 'install_trigger' execution protocol, but no concrete install_recipes are present in the package/registry — another mismatch to be aware of.

⚠ Credentials

The skill references environment state (ZVT_HOME), Python packages (zvt, possibly psycopg2), and external data providers (eastmoney, joinquant, yfinance) but declares no required env vars, credentials, or primary credential. Database credentials and provider API keys (joinquant, qmt) are expected by the pipeline but are not declared — this under-declaration makes it unclear what secrets the skill will need or attempt to access.

✓ Persistence & Privilege

always is false and the skill does not request permission to persistently modify other skills or global agent settings. It does instruct write access checks (touching ZVT_HOME) but that is scoped to its own data directories per the preconditions; no evidence it tries to change other skills' configs.

如何使用

确保已安装 OpenClaw（本地或 Docker 部署）
在对话框中输入安装命令：/install climate-esg-investing
安装完成后，直接呼叫该 Skill 的名称或使用 /climate-esg-investing 触发
根据 Skill 的参数说明提供必要输入，即可获得结构化输出

版本历史

v0.3.3

v0.3.3: bilingual metadata injected. H1 shows ESG 气候投资; tagline replaced with skill-specific Chinese hook; tags upgraded to Level 1-4.

v0.3.1

Remove install.sh — knowledge-only bundle. Host AI consumes directly from URL; no user-side installation needed. Fixes ClawHub suspicious flag.

v0.3.0

Doramagic crystal portfolio v0.3.0. Full 5-layer bp-009 standard. github.com/tangweigang-jpg/doramagic-skills

v0.2.0

Doramagic crystal portfolio v0.2.0. Full 5-layer bp-009 standard. github.com/tangweigang-jpg/doramagic-skills

元数据

Slug climate-esg-investing

版本 0.3.3

许可证 MIT-0

累计安装 0

当前安装数 0

历史版本数 4

常见问题