← 返回 Skills 市场

Climate Intelligence

Name: Climate Intelligence
Author: ai-gaoqian

作者 ai-gaoqian · GitHub ↗ · v1.0.0 · MIT-0

cross-platform ⚠ suspicious

总下载

当前安装

版本数

在 OpenClaw 中安装

/install climate-intelligence

功能描述

Provides multi-domain climate data analysis including emissions, renewable energy, carbon markets, policy, risk, finance, innovation, attribution, and net-ze...

使用说明 (SKILL.md)

Climate Intelligence Engine

Capabilities

#	Capability	Input	Output
1	Emissions Dashboard	Country / sector / scope	CO2/CH4 emissions (absolute, per-capita, intensity), trend analysis, carbon budget remaining
2	Renewable Energy Tracker	Technology + region	Installed capacity (GW), capacity factor, LCOE trajectory, investment flows, pipeline projects
3	Carbon Market Monitor	Market (EU ETS / China ETS / voluntary)	Spot price, futures curve, auction clearing, market coverage, policy changes
4	Physical Climate Risk Assessment	Location / asset / sector	Hazard exposure (flood, heat, drought, wildfire), return periods, adaptation cost estimates
5	Climate Policy Comparator	Countries + policy area	NDC ambition, net-zero target year, implementation status, policy instrument mix, effectiveness evidence
6	ESG Disclosure Navigator	Jurisdiction + company size	Applicable frameworks (ISSB, CSRD, SEC), reporting deadlines, materiality requirements, assurance standards
7	Climate Finance Intelligence	Instrument type + region	Issuance volumes, pricing (greenium), use-of-proceeds, taxonomy alignment, fund flow trends
8	Climate Tech Innovation Radar	Technology + TRL range	Technology readiness, cost curve, key players, funding rounds, deployment milestones, scalability assessment
9	Extreme Weather Attribution	Event + location	Attribution confidence, return period shift, climate vs. natural variability, economic damage estimates
10	Net-Zero Progress Tracker	Entity (country / company)	Target year, interim milestones, emissions trajectory vs. pathway, credibility assessment

Workflow

User Query
  │
  ├─ [Step 1] Classify → domain (9 climate domains) + geography + time horizon + analysis depth
  │
  ├─ [Step 2] Source routing:
  │   └─ Scientific: IPCC, NASA, NOAA, Copernicus, Global Carbon Project
  │   └─ Energy: IEA, IRENA, BloombergNEF
  │   └─ Policy: UNFCCC, Climate Action Tracker, WRI
  │   └─ Markets/ESG: CDP, MSCI ESG, Carbon Brief
  │
  ├─ [Step 3] Multi-source retrieval + cross-validation
  │
  ├─ [Step 4] Apply domain-specific analytics:
  │   └─ Emissions: carbon budget math, sectoral decomposition
  │   └─ Energy: LCOE comparison, learning rate projections
  │   └─ Policy: ambition gap analysis (NDCs vs. 1.5°C/2°C pathways)
  │   └─ Risk: hazard × exposure × vulnerability framework
  │
  ├─ [Step 5] Structured output with data vintage, source URLs, confidence levels
  │
  └─ [Step 6] Uncertainty disclosure: model ranges, scenario assumptions, data gaps

Output Formats

Country Emissions Profile

Metric	Value	Year	Global Rank	Trend (5Y)
Total CO2 (Gt)				↑↓→
Per-capita CO2 (t)
CO2 intensity (kg/$GDP)
Methane (MtCO2e)
Cumulative historical (%)
NDC target
Net-zero target year

Carbon Market Dashboard

Market	Spot Price	1Y Range	Coverage (% emissions)	Market Stability Mechanism	Key Reform
EU ETS	€XX	€XX-XX	~36%	MSR	CBAM phase-in
China ETS	¥XX	¥XX-XX	~40%	None yet	Expansion to sectors
UK ETS	£XX	£XX-XX	~28%	Cost Containment	Link to EU?

Climate Risk Heatmap

Hazard	Location	Current Probability	2050 Projection (RCP 4.5)	2050 Projection (RCP 8.5)	Adaptation Options
Coastal flood		1-in-X year
Extreme heat		X days >35°C
Drought		SPI index

Usage Guidelines

Scenario transparency — always specify RCP/SSP scenario (e.g., RCP 4.5, SSP2-4.5) for projections
Data vintage mandatory — climate data evolves rapidly; flag any data point >6 months old
Uncertainty communication — report ranges, not point estimates, for projections; cite model ensemble spread
Policy neutrality — present data and analysis; avoid advocacy language
Multi-language — search and summarize across English, Chinese, French, Spanish, German, Japanese, Arabic
Scientific integrity — distinguish between IPCC consensus (high confidence), emerging research, and advocacy positions

Examples

Example 1: Country Emissions Deep-Dive

User: "Analyze India's emissions trajectory and net-zero credibility" Output: Historical emissions profile, sectoral breakdown (power, industry, transport, agriculture), NDC ambition vs. fair-share benchmarks, renewable deployment rate vs. required pathway, credibility scorecard.

Example 2: Carbon Market Comparison

User: "Compare EU ETS and China ETS — which is more effective?" Output: Side-by-side dashboard (price, coverage, cap trajectory, offset rules, MRV rigor, market stability mechanisms); effectiveness assessment based on emissions reduction in covered sectors.

Example 3: Climate Tech Scan

User: "What's the state of direct air capture (DAC) technology in 2026?" Output: Technology primer, current global capacity (ktCO2/year), cost ($/tCO2) and learning rate, key players (Climeworks, Carbon Engineering, Heirloom), funding (DOE hubs, Frontier buyers club), scalability bottlenecks, 2030 projection.

Data Base: references/climate_sources.json — 15 authoritative sources, 9 climate domains, emissions ranking, Paris Agreement timeline. Last Updated: June 2026 Free Tier: Available. This skill aggregates public climate data; no proprietary satellite or commercial data accessed. （内容由AI生成，仅供参考）

安全使用建议

Install only if you trust the publisher and need ClawHub maintainer workflows. Before running the autoreview helper, consider using `--no-yolo` or reviewing the exact command, and be careful with moderation/GitHub commands because they can change public content or account state.

能力评估

ℹ Purpose & Capability

The skills are coherent with ClawHub/Convex maintainer work: code review, UI proof, GitHub PR triage, and moderation actions such as hiding skills, banning users, and role changes.

⚠ Instruction Scope

Most instructions are scoped and safety-aware, but the autoreview helper explicitly defaults to `--dangerously-bypass-approvals-and-sandbox --sandbox danger-full-access`, which is broader authority than a review workflow normally needs.

✓ Install Mechanism

The inspected skill files and helper script are ordinary repo-local artifacts under `.agents/skills`; no hidden installer, startup hook, or obfuscated install path was found.

⚠ Credentials

GitHub, ClawHub moderation, local CI, Convex, and fallback LLM reviewer use are mostly disclosed, but full-access nested agent execution and possible external diff sharing deserve human review before use.

ℹ Persistence & Privilege

No hidden persistence was found; privileged effects come from user/run-time commands that may use existing CLI auth tokens and can mutate public or account state when invoked.

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-intelligence
安装完成后，直接呼叫该 Skill 的名称或使用 /climate-intelligence 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

v1.0.0

- Initial release of the Climate Intelligence Engine skill - Provides analytics across 10 climate domains, including emissions, energy, policy, risk, markets, finance, tech, and more - Features structured output formats for emissions profiles, carbon markets, and climate risk heatmaps - Integrates workflow for data classification, multi-source retrieval, cross-validation, and uncertainty disclosure - Includes usage guidelines for scenario transparency, data vintage, uncertainty communication, policy neutrality, and scientific integrity

元数据

Slug climate-intelligence

版本 1.0.0

许可证 MIT-0

累计安装 0

当前安装数 0

历史版本数 1

常见问题