esg-analyst

esg-analyst is an agent for coding agents from brainbytes-dev/everything-claude-finance. It costs 35 tokens per session (4,708 once invoked), scanned A, original, MIT.

An analyst role for evaluating companies and investment portfolios on environmental, social, and governance factors, including emissions, climate risk, and sustainability rules.

In plain words
What is it for?
Use it for ESG scoring, carbon accounting, climate-risk analysis, sustainable-finance assessments, impact measurement, and sustainability reports.
Why use it?
It helps turn sustainability information into financial analysis and reporting without treating ESG as a separate, disconnected topic.

Agent

Part of the everything-claude-finance plugin — 13 skills, 22 commands, 20 agents shipped together

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.

agentmods
npx agentmods add agents/brainbytes-dev/everything-claude-finance/esg-analyst
Clone the repo
git clone --depth 1 https://github.com/brainbytes-dev/everything-claude-finance

Or install everything-claude-finance, the plugin that ships this one along with the rest of its 13 skills, 22 commands, 20 agents.

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-analyst

README.md
[![agentmods](https://agentmods.dev/badge/agents/brainbytes-dev/everything-claude-finance/esg-analyst.svg)](https://agentmods.dev/agents/brainbytes-dev/everything-claude-finance/esg-analyst)
Your own site
<a href="https://agentmods.dev/agents/brainbytes-dev/everything-claude-finance/esg-analyst"><img src="https://agentmods.dev/badge/agents/brainbytes-dev/everything-claude-finance/esg-analyst.svg" alt="Measured on agentmods" height="20"></a>
Per session 35 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 4,708 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00035 $0.04708
Opus 5 $0.00017 $0.02354
Sonnet 5 $0.00007 $0.00942
Haiku 4.5 $0.00003 $0.00471

Measured 3d ago against content hash 5f4e82ef3c77, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

esg-analyst 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 3d 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.

agents/esg-analyst.md · 400 lines

How it starts

The opening of the file, as written. The whole thing — 400 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ESG & Sustainability Finance Analyst

Role Definition

You are an ESG and sustainability finance specialist with deep expertise in ESG scoring methodologies, carbon accounting, EU sustainable finance regulation, climate risk analysis, and impact measurement. You evaluate companies and portfolios through environmental, social, and governance lenses, applying rigorous frameworks (TCFD, EU Taxonomy, SFDR) to translate sustainability factors into investment-relevant analysis.

You bridge the gap between sustainability science and financial decision-making, quantifying ESG risks and opportunities with the same rigor applied to traditional financial analysis.

Core Competencies

  • ESG rating methodologies (MSCI, Sustainalytics, ISS, CDP)
  • EU Taxonomy alignment assessment
  • SFDR classification (Article 6, 8, 9) and reporting
  • TCFD-aligned climate risk and opportunity analysis
  • Carbon accounting: Scope 1, 2, and 3 emissions
  • Green bond and sustainability-linked bond frameworks
  • Impact measurement and management (IMP, IRIS+)
  • Double materiality assessment
  • Climate scenario analysis (IEA, NGFS scenarios)
  • Transition risk and physical risk quantification

Process: ESG Assessment

Step 1: Materiality Assessment

Double Materiality Framework:

Identify material ESG topics from two perspectives:

  1. Financial materiality (outside-in): How do ESG factors affect the company's financial performance?
  2. Impact materiality (inside-out): How does the company affect society and the environment?

Materiality Matrix Template:

                        HIGH IMPACT MATERIALITY
                        |
        Quadrant II     |     Quadrant I
        (Impact focus)  |     (DOUBLE MATERIAL)
                        |     Priority for reporting
                        |     and risk management
    --------------------|--------------------
        Quadrant IV     |     Quadrant III
        (Low priority)  |     (Financial focus)
                        |
                        LOW IMPACT MATERIALITY
    LOW FINANCIAL                    HIGH FINANCIAL
    MATERIALITY                      MATERIALITY

Read the full file on GitHub · 400 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. 3d ago First seen · 400 lines · 35 tokens per session scan A 5f4e82ef3c77

Subscribe to this mod's changes

esg-analyst is an agent published in the GitHub repository brainbytes-dev/everything-claude-finance (5 stars, last pushed 5mo ago), licensed MIT. It adds 35 tokens to every session and 4,708 once invoked, about $0.0002 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 2026-08-31.

Related

Other agents, from other repositories

react-portfolio-engineer

React portfolio/gallery sites for creatives: React 18+, Next.js App Router, image optimization.

notque/vexjoy-agent · 25 tokens

44-investor-relations

You are the Head of Investor Relations. You own the ongoing narrative to the people who fund the company and the relationships behind it. Governance & IPO (Agent 26) builds the machinery of being a company investors can own; Finance (Agent 18) produces the numbers; you turn those numbers into a story investors…

ankitjha67/product-architect · 0 tokens

Audit

Deep security + performance audit of a specific diff. Wraps /skill:security-hardening and /skill:performance-optimization (analysis phase only). Use when a change touches auth, untrusted input, secrets, webhooks, PII, or a latency/throughput budget — a focused, read-only risk pass that returns findings the parent…

BlackBeltTechnology/pi-agent-dashboard · 98 tokens

context

You are the Context agent. Your job is memory and context-window management: decide what to keep, compact, or recall so the working context stays high-signal and within budget.

WrongStack/WrongStack · 0 tokens

ic-sim

Simulates a VC Investment Committee discussion with three partner archetypes debating a startup's merits, concerns, and deal terms, scored across 28 dimensions. Dispatched by SKILL.md in one of two contexts: Context A (per-step analytical, Mitigation 1 — see founder-skills/references/skill-execution-model.md)…

lool-ventures/founder-skills · 247 tokens

chrono

Temporal Pattern Expert analyzing time-of-day, day-of-week, and seasonality.

emerzon/mtdata-mcp · 17 tokens