Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add Geeksfino/finskills --skill esg-screenergit clone --depth 1 https://github.com/Geeksfino/finskillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/geeksfino/finskills/esg-screener)<a href="https://agentmods.dev/skills/geeksfino/finskills/esg-screener"><img src="https://agentmods.dev/badge/skills/geeksfino/finskills/esg-screener/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/geeksfino/finskills/esg-screener"><img src="https://agentmods.dev/badge/skills/geeksfino/finskills/esg-screener.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00097 | $0.01496 |
| Opus 5 | $0.00048 | $0.00748 |
| Sonnet 5 | $0.00019 | $0.00299 |
| Haiku 4.5 | $0.00010 | $0.00150 |
Grade A, and why
esg-screener scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ESG与负责任投资筛选器
扮演可持续投资分析师。从环境、社会和治理标准筛选和评估A股上市公司——识别领先者、落后者、争议事件和ESG改善趋势，支持负责任的投资决策。
工作流程
第一步：确定标准
与用户确认：
| 输入 | 选项 | 默认 |
|---|---|---|
| 选股池 | 沪深300 / 中证800 / 全A / 自定义 | 沪深300 |
| ESG策略 | 同类最优 / 排除法 / 整合法 / 主题投资 | 同类最优 |
| 聚焦支柱 | E、S、G 或 全部 | 全部 |
| 行业 | 全部或特定行业 | 全部 |
| 排除项 | 需排除的争议行业 | 无 |
| 结果数量 | 公司数量 | 前10家 |
| 对比 | 基准或同行 | 行业同行 |
第二步：排除筛选（如适用）
常见排除类别：
| 类别 | 排除标准 |
|---|---|
| 烟草 | 生产商（营收>10%） |
| 争议性武器 | 集束弹药、地雷、核武器生产商 |
| 高污染 | 严重超标排放、重大环境事故 |
| 赌博 | 运营商（营收>10%） |
| 严重争议 | 存在未解决的严重ESG争议的公司 |
| ST/*ST | 被特别处理的公司（通常治理问题严重） |
第三步：ESG评分
在E、S、G三个支柱上对每家公司评分。详细标准参见 references/esg-framework.md。
| 支柱 | 权重 | 关键指标 |
|---|---|---|
| 环境（E） | 33% | 碳排放强度、排放趋势、气候风险管理、资源效率 |
| 社会（S） | 33% | 员工实践、供应链标准、产品安全、社区贡献 |
| 治理（G） | 34% | 董事会独立性、高管薪酬、股东权益、信息披露质量 |
在每个支柱内，使用定量数据和定性评估进行0–100评分。
第四步：ESG动量
评估ESG质量是在改善还是恶化：
| 信号 | 改善 | 恶化 |
|---|---|---|
| 排放趋势 | 同比下降 | 同比上升 |
| 争议趋势 | 更少/更低严重程度 | 更多/更高严重程度 |
| ESG披露质量 | 改善，更多指标公布 | 停滞或减少披露 |
| 目标设定 | 双碳目标、绿色发展承诺 | 无目标或未达目标 |
| ESG评级变化 | 获得主要评级机构上调 | 被下调 |
第五步：争议事件检查
筛查活跃的ESG争议事件：
| 严重程度 | 示例 | 影响 |
|---|---|---|
| 严重 | 重大环境事故、系统性造假 | 排除或大幅减分 |
| 高 | 重大安全事故、数据泄露 | 大幅减分 |
| 中等 | 监管处罚、产品召回 | 中等减分 |
| 低 | 轻微事件、已解决的问题 | 小幅影响 |
第六步：财务整合
评估ESG优势是否与财务质量相关：
| 指标 | 目的 |
|---|---|
| ESG得分 vs ROE | ESG质量是否与盈利能力相关？ |
| 争议暴露 vs 波动率 | 争议是否预示风险？ |
| 治理得分 vs 股东回报 | 治理质量是否影响回报？ |
| 碳排放强度 vs 成本结构 | 碳是否构成财务风险？ |
呈现在财务基本面上同样表现良好的ESG精选——避免"不计代价的ESG"。
第七步：呈现结果
格式参见 references/output-template.md：
- 筛选标准汇总 — 策略、排除项、参数
- ESG精选 — 按支柱得分和综合排名
- ESG动量面板 — 改善 vs 恶化的公司
- 争议监控 — 精选公司的活跃争议
- 财务整合 — ESG质量 vs 财务质量对比
- 行业ESG全景 — 各行业最佳和最差ESG公司
- 个别公司卡片 — 每家公司的详细ESG画像
- 免责声明
数据增强
如需实时市场数据支撑分析，请使用金融数据工具包技能（findata-toolkit-cn）。该工具包提供A股实时行情、财务指标、董监高增减持、北向资金、宏观数据等功能，所有数据源免费，无需API密钥。
重要注意事项
- ESG ≠ 公益：负责任投资不需要牺牲回报。将ESG呈现为风险管理和质量筛选框架。
- "洗绿"警惕：许多公司的ESG营销优于ESG实践。寻找定量指标（实际排放数据）而非定性宣称（可持续发展报告的美文）。
- 重要性因行业而异：环境因子对能源公司更重要；治理因子对金融公司更重要。按行业调整支柱权重。
- 中国ESG特色：共同富裕、双碳目标、绿色金融政策是中国ESG框架的核心主题，不同于西方以股东维权和TCFD为中心的框架。
- 数据局限：A股ESG数据披露不均匀，各评级机构之间一致性低。披露数据来源和局限。
- 非个人化建议：ESG筛选是分析框架，不构成投资建议。
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 13d ago First seen · 113 lines · 97 tokens per session scan A 4482927ea539
esg-screener is a skill published in the GitHub repository Geeksfino/finskills (279 stars, last pushed 6mo ago), licensed Apache-2.0. It adds 97 tokens to every session and 1,496 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
expense-review-policy
Review invoices and contracts against accounts-payable policy before human approval.
kyc-doc-parse
Parse an investor or client onboarding packet into structured KYC fields — identity, ownership, control, source of funds, and document inventory. Use as the first step of KYC screening; output feeds the rules engine.
audit-support
Support SOX 404 compliance with control testing methodology, sample selection, and documentation standards. Use when generating testing workpapers, selecting audit samples, classifying control deficiencies, or preparing for internal or external audits.
fiscaliste
Fiscaliste IA pour la fiscalité personnelle des particuliers français : optimisation et déclaration de l'impôt sur le revenu, IFI, revenus du capital, revenus fonciers, equity salarial, crypto-actifs et PER. Couvre le calcul de l'IR (barème, quotient familial, décote, PAS, CEHR, revenus exceptionnels), la déclaration…
regulatory-analysis
Analyzes documents and processes against FINRA, SEC, Federal Reserve, and CFPB regulatory frameworks. Identifies compliance gaps, classifies findings by severity, and recommends remediation. Use when performing compliance audits, regulatory reviews, gap analyses, or verifying policy adherence to financial regulations.
subcontractor-payment-tracker
Track subcontractor payments, lien waivers, and compliance. Manage payment schedules and documentation.