技能详情（站内镜像，无评论）
许可证：MIT-0
MIT-0 ·免费使用、修改和重新分发。无需归因。
版本：v1.0.0
统计：⭐ 0 · 476 · 2 current installs · 2 all-time installs
⭐ 0
安装量（当前） 2
🛡 VirusTotal ：良性 · OpenClaw ：良性
Package：1kalin/afrexai-esg-reporting
安全扫描（ClawHub）
- VirusTotal ：良性
- OpenClaw ：良性
OpenClaw 评估
The skill is an instruction-only ESG report generator whose requested actions, data needs, and scope are consistent with its stated purpose and it does not request credentials or install code.
目的
Name, description, README, and SKILL.md consistently describe ESG reporting, materiality, E/S/G metrics, regulatory mapping and scoring. There are no unrelated requirements (no creds, binaries, or install steps) that conflict with the stated purpose.
说明范围
The runtime instructions correctly ask the agent to gather company-specific inputs (industry, revenue, employees, footprint, historical ESG data) — this is expected for report generation but means the agent will handle potentially sensitive corporate data. SKILL.md does not instruct the agent to read arbitrary system files, credentials, or to post data to external endpoints.
安装机制
No install spec and no code files — instruction-only. This minimizes risk from third-party binaries or downloaded archives.
证书
The skill requests no environment variables, credentials, or config paths, which is proportionate to an instruction-only reporting framework.
持久
The skill is not set to always:true and uses default autonomous invocation permissions. It does not request persistent system changes or cross-skill configuration. Autonomous invocation is the platform default and not, by itself, a concern here.
综合结论
This skill appears internally consistent and low-risk, but consider the following before installing or using it: (1) The skill will ask for company-specific and potentially sensitive ESG data — avoid pasting confidential or personally identifying information unless you trust the environment and need real data. Use anonymized or sample data for testing. (2) The registry metadata shows no homepage and an opaque owner ID; if provenance matters, v…
安装（复制给龙虾 AI）
将下方整段复制到龙虾中文库对话中，由龙虾按 SKILL.md 完成安装。
请把本段交给龙虾中文库（龙虾 AI）执行：为本机安装 OpenClaw 技能「ESG Reporting Framework」。简介：Generate detailed ESG reports aligned with 2026 standards, covering materiality…。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装：https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/1kalin/afrexai-esg-reporting/SKILL.md
（来源：yingzhi8.cn 技能库）SKILL.md
# 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/)*