esg-rating-tracking

esg-rating-tracking is a skill for Claude Code from vivy-yi/finance-skills. It costs 85 tokens per session (1,932 once invoked), scanned A, original, MIT.

A process for tracking how a company's environmental, social, and governance ratings change across rating agencies. ESG ratings assess topics such as climate impact, employee practices, and company oversight.

In plain words
What is it for?
Use it after annual ratings or during quarterly reviews to compare agencies, analyse rating drivers, benchmark the company against its industry, and plan improvements.
Why use it?
It helps explain why ratings rose or fell and shows where different agencies disagree. It also turns rating gaps into improvement priorities.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter. Also seen: mentions CLAUDE.md.

Good fit Use it after annual ratings or during quarterly reviews to compare agencies, analyse rating drivers, benchmark the company against its industry, and plan improvements.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/vivy-yi/finance-skills/esg-rating-tracking
Install

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.

Any agent
npx skills add vivy-yi/finance-skills --skill esg-rating-tracking
Clone the repo
git clone --depth 1 https://github.com/vivy-yi/finance-skills

Made for: Claude Code.

Wrote 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.

agentmods badge for esg-rating-tracking

README.md
[![agentmods](https://agentmods.dev/badge/skills/vivy-yi/finance-skills/esg-rating-tracking/github.svg)](https://agentmods.dev/skills/vivy-yi/finance-skills/esg-rating-tracking)
Your own site
<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.

agentmods 80×15 button for esg-rating-tracking

Your own site · 80×15
<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>
Per session 85 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,932 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 12d ago against content hash 8b9c7ef49c60, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

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.

finance-skills/skills/esg-reporting/skills/esg-rating-tracking/SKILL.md · 222 lines

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]

Read the full file on GitHub · 222 lines

Changes

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.

  1. 12d ago First seen · 222 lines · 85 tokens per session scan A 8b9c7ef49c60

Subscribe to this mod's changes

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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