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 vivy-yi/finance-skills --skill esg-materiality-assessmentgit clone --depth 1 https://github.com/vivy-yi/finance-skillsWrote 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/vivy-yi/finance-skills/esg-materiality-assessment)<a href="https://agentmods.dev/skills/vivy-yi/finance-skills/esg-materiality-assessment"><img src="https://agentmods.dev/badge/skills/vivy-yi/finance-skills/esg-materiality-assessment/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/vivy-yi/finance-skills/esg-materiality-assessment"><img src="https://agentmods.dev/badge/skills/vivy-yi/finance-skills/esg-materiality-assessment.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 | $0.00114 | $0.02270 |
| Opus 5 | $0.00057 | $0.01135 |
| Sonnet 5 | $0.00023 | $0.00454 |
| Haiku 4.5 | $0.00011 | $0.00227 |
Grade A, and why
esg-materiality-assessment 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 12d 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 — 247 lines — stays where its author put it; the contents beside it link to each section on GitHub.
加载上下文
首次使用时: 读取 ../../CLAUDE.md 获取场景级配置(行业重大性议题/利益相关方名单/评估标准)。
/esg-materiality-assessment — ESG 重大性评估
Examples
→ 示例:用户说"帮我们做一次 ESG 重大性评估,确定哪些议题最关键",系统应调用本技能,执行 ESG 重大性评估。
→ 示例:用户说"去年 materiality assessment 的结果今年还用吗,需要更新吗",系统应调用本技能,评估是否需要更新重大性评估。
→ 示例:用户说"投资者问我们为什么不披露某个议题,需要解释决策依据",系统应调用本技能,提供重大性评估决策依据说明。
第一步:议题库构建
行业通用 ESG 议题库:
□ E(环境)议题:
→ 气候变化与碳排放
→ 能源管理与可再生能源
→ 水资源管理
→ 废弃物管理
→ 生物多样性
→ 供应链环境管理
□ S(社会)议题:
→ 员工健康与安全
→ 员工多元化与包容
→ 员工培训与发展
→ 产品安全与质量
→ 数据隐私与安全
→ 社区与社会影响
→ 供应链劳工权益
□ G(治理)议题:
→ 董事会结构与独立性
→ 商业道德与反腐败
→ 风险管理与合规
→ 股东权益保护
→ 税务透明度
→ 供应链治理
公司特定议题补充:
□ 基于业务特点补充的议题:
→ [行业特定议题1] — [原因]
→ [行业特定议题2] — [原因]
□ 最终议题库:[X] 个议题
第二步:利益相关方调研
利益相关方识别与权重:
□ 主要利益相关方及权重:
| 利益相关方 | 权重 | 调研方式 | 样本量 |
|-----------|------|---------|--------|
| 股东/投资者 | [X]% | 问卷/访谈 | [X] |
| 员工 | [X]% | 问卷 | [X] |
| 客户 | [X]% | 问卷/访谈 | [X] |
| 监管机构 | [X]% | 政策分析 | — |
| 社区/NGO | [X]% | 访谈/公开信息 | [X] |
□ 调研执行:[✅ 已完成 / ⏳ 进行中 / 🔴 未执行]
□ 有效问卷:[X] 份
调研结果汇总:
□ 利益相关方认为最重要的议题(Top 5):
| 排名 | 议题 | 得分 | 主要来源 |
|------|------|------|---------|
| 1 | [议题] | [X]/10 | [股东/员工/客户] |
| 2 | [议题] | [X]/10 | ... |
| 3 | [议题] | [X]/10 | ... |
□ 各利益相关方关注差异:
→ 股东最关注:[议题1、2]
→ 员工最关注:[议题3、4]
→ 客户最关注:[议题5、6]
第三步:业务影响评估
评估维度:
□ 业务影响维度:
→ 财务影响:对收入/成本/资产/负债的影响([量化标准])
→ 战略影响:对公司战略方向和竞争力的影响
→ 声誉影响:对品牌声誉和利益相关方信任的影响
→ 监管影响:不合规导致的处罚/诉讼/经营限制
□ 评估方法:[内部高管访谈 / 历史数据分析 / 行业案例参考]
□ 参与评估的高管:[X] 人
业务影响评分:
□ 各议题业务影响评分:
| 议题 | 财务影响 | 战略影响 | 声誉影响 | 综合得分 |
|------|---------|---------|---------|---------|
| [议题1] | [X] | [X] | [X] | [X] |
| [议题2] | [X] | [X] | [X] | [X] |
第四步:重大性矩阵绘制
矩阵绘制:
□ X 轴:利益相关方重要性(外部视角)
□ Y 轴:业务影响程度(内部视角)
□ 矩阵象限定义:
→ 右上象限(高重要性 + 高影响)= 重大议题(Material Topics)
→ 左上象限(低重要性 + 高影响)= 需监控
→ 右下象限(高重要性 + 低影响)= 需关注
→ 左下象限(低重要性 + 低影响)= 低优先级
□ 重大议题(落入右上象限):
→ [议题1](坐标:[X, X])
→ [议题2](坐标:[X, X])
→ [议题3](坐标:[X, X])
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.
- 12d ago First seen · 247 lines · 114 tokens per session scan A 45dfc3f977e1
esg-materiality-assessment is a skill published in the GitHub repository vivy-yi/finance-skills (29 stars, last pushed 2mo ago), licensed MIT. It adds 114 tokens to every session and 2,270 once invoked, about $0.0006 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.
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