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ai-gaoqian

Climate Intelligence

by ai-gaoqian · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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Install in OpenClaw
/install climate-intelligence
Description
Provides multi-domain climate data analysis including emissions, renewable energy, carbon markets, policy, risk, finance, innovation, attribution, and net-ze...
README (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

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

Usage Guidance
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.
Capability Assessment
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.
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.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install climate-intelligence
  3. After installation, invoke the skill by name or use /climate-intelligence
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
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
Metadata
Slug climate-intelligence
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Climate Intelligence?

Provides multi-domain climate data analysis including emissions, renewable energy, carbon markets, policy, risk, finance, innovation, attribution, and net-ze... It is an AI Agent Skill for Claude Code / OpenClaw, with 43 downloads so far.

How do I install Climate Intelligence?

Run "/install climate-intelligence" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Climate Intelligence free?

Yes, Climate Intelligence is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Climate Intelligence support?

Climate Intelligence is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Climate Intelligence?

It is built and maintained by ai-gaoqian (@ai-gaoqian); the current version is v1.0.0.

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