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-rating-trackinggit 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-rating-tracking)<a href="https://agentmods.dev/skills/vivy-yi/finance-skills/esg-rating-tracking"><img src="https://agentmods.dev/badge/skills/vivy-yi/finance-skills/esg-rating-tracking/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-rating-tracking"><img src="https://agentmods.dev/badge/skills/vivy-yi/finance-skills/esg-rating-tracking.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 | $0.00085 | $0.01932 |
| Opus 5 | $0.00043 | $0.00966 |
| Sonnet 5 | $0.00017 | $0.00386 |
| Haiku 4.5 | $0.00009 | $0.00193 |
Grade A, and why
esg-rating-tracking 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 — 222 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(评级标准/行业基准/提升优先级)。
/esg-rating-tracking — ESG 评级追踪
Examples
→ 示例:用户说"MSCI ESG 评级从 BBB 升到 A 了,帮我分析一下主要原因",系统应调用本技能,分析 MSCI 评级提升原因。
→ 示例:用户说"主要 ESG 评级机构给的结果不一致,帮我评估哪个更权威",系统应调用本技能,对比主要 ESG 评级并提供参考建议。
→ 示例:用户说"明年的 ESG 评级目标要达到 AA,帮我制定提升计划",系统应调用本技能,制定 ESG 评级提升行动计划。
第一步:当前评级确认
各机构评级现状:
□ MSCI ESG 评级:[BBB / A / AA / AAA]
→ 上期评级:[BBB]([YYYY-MM])
→ 评级趋势:[↑ 提升 / ↓ 下降 / → 持平]
→ 行业排名:[X]%([排名]/[总数])
□ S&P ESG 评分:[X]/100([AAA/AA/A/...]
→ 上期评分:[X]/100
→ 行业前 [X]%
□ CDP 气候评级:[A / B / C / D / D-]
→ 上期评级:[B]
→ 行业平均:[B]
□ 评级综合状态:[整体良好/存在短板/落后于行业]
第二步:评级驱动因素分析
MSCI 关键议题得分(如 BBB):
□ E(环境)议题:
→ 气候变化:[X](落后/平均/领先)
→ 碳排放:[X]
→ 水资源压力:[X]
□ S(社会)议题:
→ 人力资本发展:[X]
→ 产品安全与质量:[X]
□ G(治理)议题:
→ 公司治理:[X]
→ 商业道德:[X]
□ 主要弱点:[描述](得分 [X],vs 行业 [X])
□ 主要优势:[描述](得分 [X],vs 行业 [X])
评级差距分析:
□ 从 [BBB] 升至 [A] 需提升的议题:
| 议题 | 当前得分 | A 级门槛 | 差距 | 提升难度 |
|------|---------|---------|------|---------|
| [议题1] | [X] | [X] | [X] | [高/中/低] |
| [议题2] | [X] | [X] | [X] | [高/中/低] |
□ 提升潜力:[X] 个议题可在 [X] 年内改善
第三步:行业对标分析
行业基准对比:
□ MSCI [行业名称] 评级分布:
→ AAA:[X]% 公司
→ AA:[X]% 公司
→ A:[X]% 公司
→ BBB:[X]% 公司
→ BB 及以下:[X]% 公司
□ 我司 vs 行业中位数:
→ MSCI 综合评级:[BBB] vs 行业中位数 [A]
→ 差距:[落后 1 级]
□ 竞争对手评级:
| 公司 | MSCI | CDP | S&P |
|------|------|-----|-----|
| [竞争对手A] | [AAA] | [A] | [X] |
| [我司] | [BBB] | [B] | [X] |
| [竞争对手B] | [A] | [B+] | [X] |
第四步:评级提升策略
提升路径设计:
□ 短期提升策略([X] 个月内):
→ 提升议题:[议题名称]
→ 措施:[具体行动]
→ 预计得分提升:[X] 分
→ 责任人:[部门/岗位]
□ 中期提升策略([X]-[X] 个月):
→ 提升议题:[议题名称]
→ 措施:[具体行动]
→ 预计得分提升:[X] 分
□ 长期提升策略([X] 年以上):
→ 提升议题:[议题名称]
→ 措施:[具体行动]
→ 预计得分提升:[X] 分
优先级排序:
□ 优先级 1:[议题] — 提升难度 [低],预计效果 [高]
□ 优先级 2:[议题] — 提升难度 [中],预计效果 [中]
□ 优先级 3:[议题] — 提升难度 [高],预计效果 [高]
第五步:行动计划制定
具体行动计划:
□ [议题1] 提升行动:
→ 行动 1:[描述] — 责任人 [X] — 完成 [日期]
→ 行动 2:[描述] — 责任人 [X] — 完成 [日期]
□ [议题2] 提升行动:
→ 行动 1:[描述] — 责任人 [X] — 完成 [日期]
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 · 222 lines · 85 tokens per session scan A 8b9c7ef49c60
esg-rating-tracking is a skill published in the GitHub repository vivy-yi/finance-skills (29 stars, last pushed 2mo ago), licensed MIT. It adds 85 tokens to every session and 1,932 once invoked, about $0.0004 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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