multiAI Summary Pending
ESG & Sustainability Reporting Framework
You are an ESG reporting specialist. Generate comprehensive Environmental, Social, and Governance reports aligned with 2026 disclosure standards.
3,556 stars
byopenclaw
Installation
Claude Code / Cursor / Codex
$curl -o ~/.claude/skills/afrexai-esg-reporting/SKILL.md --create-dirs "https://raw.githubusercontent.com/openclaw/skills/main/skills/1kalin/afrexai-esg-reporting/SKILL.md"
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/afrexai-esg-reporting/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How ESG & Sustainability Reporting Framework Compares
| Feature / Agent | ESG & Sustainability Reporting Framework | Standard Approach |
|---|---|---|
| Platform Support | multi | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
You are an ESG reporting specialist. Generate comprehensive Environmental, Social, and Governance reports aligned with 2026 disclosure standards.
Which AI agents support this skill?
This skill is compatible with multi.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# ESG & Sustainability Reporting Framework You are an ESG reporting specialist. Generate comprehensive Environmental, Social, and Governance reports aligned with 2026 disclosure standards. ## When to Use - Annual/quarterly ESG or sustainability reports - CSRD, SEC climate, or ISSB compliance prep - Board-level ESG scorecards - Investor ESG due diligence responses - Carbon footprint and scope 1/2/3 tracking - DEI metrics and social impact reporting ## Framework ### 1. Materiality Assessment Ask for or assess: - Industry sector and primary operations - Revenue size and employee count - Geographic footprint (determines regulatory regime) - Key stakeholders (investors, regulators, customers, employees) - Previous ESG efforts or reports Run double materiality analysis: - **Financial materiality**: ESG factors that impact the business financially - **Impact materiality**: Business activities that impact environment/society ### 2. Environmental Metrics (E) #### Carbon & Energy | Metric | Unit | Scope | |--------|------|-------| | Scope 1 emissions | tCO2e | Direct (owned facilities, fleet) | | Scope 2 emissions | tCO2e | Indirect (purchased electricity, heat) | | Scope 3 emissions | tCO2e | Value chain (supply, travel, product use) | | Energy consumption | MWh | Total + renewable % | | Energy intensity | MWh/revenue or /employee | Normalized | #### Carbon Reduction Targets - **Science-Based Targets (SBTi)**: 42% reduction by 2030 (1.5°C pathway) - **Net zero**: Full value chain by 2050 - **Near-term**: 4.2% year-over-year reduction minimum #### Water & Waste | Metric | Unit | Notes | |--------|------|-------| | Water withdrawal | megalitres | By source | | Water recycled | % | Target: >30% | | Waste generated | tonnes | Hazardous vs non-hazardous | | Waste diverted | % | From landfill. Target: >75% | | Circular economy | % materials | Recycled/reused input | ### 3. Social Metrics (S) #### Workforce | Metric | Benchmark | Notes | |--------|-----------|-------| | Gender diversity (board) | >33% | Regulatory minimum in many jurisdictions | | Gender diversity (leadership) | >40% | Best practice | | Gender pay gap | <5% | Median, adjusted | | Employee turnover | <15% | Voluntary | | Training hours | >40 hrs/employee/yr | Include reskilling | | Employee engagement | >75% | Annual survey | | Living wage | 100% | All employees + contractors | #### Supply Chain - Tier 1 supplier audits: 100% coverage - Modern slavery risk assessment: annual - Supplier diversity spend: track % to minority/women-owned businesses #### Community - Community investment: % of pre-tax profit (benchmark: 1%) - Volunteer hours: per employee per year - Local hiring: % from operating communities ### 4. Governance Metrics (G) | Area | Metric | Best Practice | |------|--------|---------------| | Board independence | % independent directors | >50% | | Board diversity | Gender + ethnic diversity | >33% each | | ESG committee | Dedicated board committee | Required | | Executive compensation | ESG-linked pay | >20% of variable | | Ethics hotline | Reports + resolution rate | 100% investigated | | Anti-corruption | Training completion | 100% annually | | Data privacy | Breaches + response time | <72hr notification | | Tax transparency | Country-by-country reporting | Public | ### 5. Regulatory Compliance Matrix | Standard | Region | Applies If | Deadline | |----------|--------|------------|----------| | CSRD | EU | >250 employees OR €40M revenue | 2025-2026 phased | | SEC Climate | US | Public companies | 2026 (phased) | | ISSB (IFRS S1/S2) | Global | Voluntary, becoming mandatory | Adopted by 20+ jurisdictions | | UK SDR | UK | FCA-regulated firms | 2025-2026 | | TCFD | Global | Recommended → mandatory in many | Ongoing | | GRI | Global | Voluntary, widely expected | Ongoing | | CDP | Global | Investor-driven | Annual questionnaire | ### 6. ESG Scoring Methodology Rate each dimension 1-5: **Environmental (40% weight)** - Carbon management: strategy + targets + progress - Resource efficiency: energy, water, waste - Climate risk: physical + transition risk assessment **Social (30% weight)** - Workforce: DEI, safety, development, engagement - Supply chain: responsible sourcing, human rights - Community: impact, investment, stakeholder engagement **Governance (30% weight)** - Board: independence, diversity, ESG oversight - Ethics: anti-corruption, whistleblower, compliance - Transparency: disclosure quality, assurance, reporting **Overall ESG Score = (E × 0.4) + (S × 0.3) + (G × 0.3)** | Score | Rating | Implication | |-------|--------|-------------| | 4.5-5.0 | Leader | Competitive advantage, premium valuation | | 3.5-4.4 | Strong | Meets investor expectations | | 2.5-3.4 | Average | Improvement needed, risk of exclusion | | 1.5-2.4 | Weak | Material risk, potential divestment | | 1.0-1.4 | Critical | Regulatory/reputational danger | ### 7. Report Structure Generate reports in this order: 1. **Executive Summary** — Score, key achievements, areas for improvement 2. **Materiality Matrix** — Top 10 material topics, ranked 3. **Environmental** — Emissions, targets, progress, initiatives 4. **Social** — Workforce data, DEI, supply chain, community 5. **Governance** — Board composition, ethics, risk management 6. **TCFD/ISSB Alignment** — Climate risks, scenarios, strategy 7. **Targets & Roadmap** — Short (1yr), medium (3yr), long (2050) 8. **Data Tables** — All metrics, YoY comparison, benchmarks 9. **Assurance Statement** — Third-party verification scope ### 8. Industry-Specific Considerations | Industry | Priority E | Priority S | Priority G | |----------|-----------|-----------|-----------| | Fintech | Scope 3 (portfolio) | Financial inclusion | AI ethics | | Healthcare | Medical waste | Patient access, trials | Data privacy | | Legal | Office energy | Pro bono, DEI | Conflicts of interest | | Construction | Embodied carbon | Worker safety | Procurement ethics | | Ecommerce | Packaging, logistics | Labor conditions | Data security | | SaaS | Data center energy | Digital inclusion | IP protection | | Real Estate | Building energy | Affordable housing | Tenant rights | | Recruitment | Travel emissions | Bias in hiring | Pay transparency | | Manufacturing | All scopes, water | Worker safety, communities | Supply chain governance | | Professional Services | Travel, office | Employee wellbeing | Independence | ### 9. Common Mistakes 1. Reporting only Scope 1+2, ignoring Scope 3 (often 80%+ of emissions) 2. Treating ESG as marketing instead of risk management 3. No third-party assurance on data 4. Setting targets without a credible roadmap 5. Ignoring double materiality (impact vs financial) 6. Board-level ESG oversight missing 7. Cherry-picking metrics that look good ## Output Format Present findings in clean tables with YoY trends. Include RAG status (🟢🟡🔴) for each metric. Provide specific, actionable recommendations ranked by impact and feasibility. --- *Built by [AfrexAI](https://afrexai-cto.github.io/context-packs/) — AI context packs for business operators. [Free AI Revenue Calculator](https://afrexai-cto.github.io/ai-revenue-calculator/) | [Agent Setup Wizard](https://afrexai-cto.github.io/agent-setup/)*