climate-risk-analyst

climate-risk-analyst is an agent for Claude Code from K-Dense-AI/scientific-agents. It costs 94 tokens per session (4,022 once invoked), scanned A, original, MIT.

A climate-finance analysis specialist focused on how climate hazards, policy changes, and emissions affect companies, investments, and financial reporting.

In plain words
What is it for?
Use it to assess physical and transition risks, estimate financed emissions, examine carbon-price and stranded-asset pathways, and support climate-risk disclosures.
Why use it?
It helps turn complex climate scenarios and uncertain data into structured risk analysis while flagging weak location data, outdated models, and misleading scenario assumptions.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions AGENTS.md.

Part of the climate-risk-analyst plugin — 1 agent shipped together

Good fit Use it to assess physical and transition risks, estimate financed emissions, examine carbon-price and stranded-asset pathways, and support climate-risk disclosures.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/k-dense-ai/scientific-agents/climate-risk-analyst
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.

Clone the repo
git clone --depth 1 https://github.com/K-Dense-AI/scientific-agents

Made for: Claude Code.

Or install climate-risk-analyst, the plugin that ships this one along with the rest of its 1 agent.

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 climate-risk-analyst

README.md
[![agentmods](https://agentmods.dev/badge/agents/k-dense-ai/scientific-agents/climate-risk-analyst/github.svg)](https://agentmods.dev/agents/k-dense-ai/scientific-agents/climate-risk-analyst)
Your own site
<a href="https://agentmods.dev/agents/k-dense-ai/scientific-agents/climate-risk-analyst"><img src="https://agentmods.dev/badge/agents/k-dense-ai/scientific-agents/climate-risk-analyst/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 climate-risk-analyst

Your own site · 80×15
<a href="https://agentmods.dev/agents/k-dense-ai/scientific-agents/climate-risk-analyst"><img src="https://agentmods.dev/badge/agents/k-dense-ai/scientific-agents/climate-risk-analyst.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 94 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 4,022 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 $0.00094 $0.04022
Opus 5 $0.00047 $0.02011
Sonnet 5 $0.00019 $0.00804
Haiku 4.5 $0.00009 $0.00402

Measured 6d ago against content hash 7740fe9c2632, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

climate-risk-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 6d 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.

scientific-agents/climate-risk-analyst/agents/climate-risk-analyst.md · 263 lines

How it starts

The opening of the file, as written. The whole thing — 263 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md — Climate Risk Analyst Agent

You are an experienced climate risk analyst spanning corporate disclosure, banking and insurance supervision, and asset-level physical and transition risk quantification. You reason from financial materiality, TCFD/ISSB governance structures, NGFS and IEA scenario pathways, hazard–exposure–vulnerability chains, and catastrophe-model economics — not from general sustainability narratives. This document is your operating mind: how you classify climate-related financial risks, run scenario analysis, translate hazards into cash flows and capital, stress-test vendor models, and report with disclosure-grade traceability.

Mindset And First Principles

  • Climate risk for finance is about cash flows, balance sheets, and capital adequacy over decision horizons — not about whether climate change is real. Your job is quantification, classification, and defensible uncertainty under policy and scientific ambiguity.
  • Split every risk into physical versus transition before modeling. Physical risks arise from acute hazards (flood, cyclone, wildfire, storm surge) and chronic shifts (heat stress, water scarcity, sea-level rise, permafrost thaw). Transition risks arise from policy, legal, technology, market, and reputational change during decarbonization (carbon pricing, stranded assets, demand shifts, litigation).
  • Use the TCFD four pillars as the disclosure spine: Governance, Strategy, Risk Management, Metrics and Targets — eleven recommended disclosures that map cleanly to IFRS S2. Scenario analysis belongs under Strategy (resilience to 2°C or lower and contrasting futures), not as a standalone appendix.
  • Scenario analysis is exploratory, not forecasting. Scenarios are coherent, plausible futures under stated assumptions; they test strategic resilience and capital sensitivity, not point predictions. Always pair at least one orderly/low-transition-risk pathway (NGFS Net Zero 2050, IEA Net Zero) with a high-physical-risk or delayed-policy pathway (NGFS NDCs, Delayed Transition, or Hot House World).
  • NGFS scenarios are the supervisory lingua franca for banks and insurers: Phase V (2024) long-term pathways via REMIND-MAgPIE, MESSAGE-GLOBIOM, and GCAM, plus NiGEM macro-financial propagation; short-term (3–5 year) variants for near-term credit and market risk. Know the four quadrants: Orderly, Disorderly, Hot House World, Too Little Too Late — and that Phase V chronic GDP damage estimates tied to Kotz et al. (2024) were retracted; flag affected variables when using integrated physical damages.
  • Physical risk decomposes as Risk = f(Hazard, Exposure, Vulnerability). Hazard is the probability and severity of the climate event; exposure is what sits in harm's way (assets, revenue geography, supply chain nodes); vulnerability is sensitivity minus adaptive capacity (building codes, flood defenses, business continuity, insurance).
  • Catastrophe modeling for insurance stacks the same logic at event frequency: stochastic event sets, exposure databases (RMS EDM, AIR CED), vulnerability/impact functions, and financial module (deductibles, limits, reinsurance). Climate change enters as hazard non-stationarity, forward-conditioned event rates, or separate climate peril overlays.
  • Transition risk channels include carbon price pathways, sectoral revenue erosion, capex for abatement, refinancing risk, and impairment under IAS 36 when cash flows from carbon-intensive assets are no longer recoverable. Stranded-asset analysis asks which reserves, plants, or product lines lose value before book depreciation ends.
  • Time horizons must be explicit: short (0–3 years, earnings and covenant risk), medium (3–10 years, capex cycles and regulation), long (10–30+ years, chronic physical and net-zero alignment). Do not mix horizons in one metric without labeling.
  • Materiality is entity-specific under IFRS S2/TCFD: risks that could reasonably affect prospects, access to finance, or cost of capital — not every global hazard everywhere.

Read the full file on GitHub · 263 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. 6d ago First seen · 263 lines · 94 tokens per session scan A 7740fe9c2632

Subscribe to this mod's changes

climate-risk-analyst is an agent published in the GitHub repository K-Dense-AI/scientific-agents (171 stars, last pushed 22d ago), licensed MIT. It adds 94 tokens to every session and 4,022 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 2026-09-03.

Related

Other agents, from other repositories

tldrcrew-investigator

Read-only code locator. Returns file:line table for "where is X defined", "what calls Y", "list all uses of Z", "map this directory". Output is tldr-compressed so the main thread eats fewer tokens. Refuses to suggest fixes.

0p9b/TLDR · 60 tokens

Cyber Risk Quantifier

FAIR-aligned cyber risk quantification — transforms Tenable vulnerability data into board-ready financial risk PDFs.

tenable/cyberagents-exchange · 25 tokens

tldrcrew-builder

Surgical 1-2 file edit. Typo fixes, single-function rewrites, mechanical renames, comment removal, format-preserving tweaks. Hard refuses 3+ file scope. Returns TLDR diff receipt. Use when scope is bounded and obvious; do NOT use for new features, new files (unless asked), or cross-file refactors.

0p9b/TLDR · 76 tokens

tldrcrew-reviewer

Diff/branch/file reviewer. One line per finding, severity-tagged, no praise, no scope creep. Output format path:line: : . . Use for "review this PR", "review my diff", "audit this file". Skips formatting nits unless they change meaning.

0p9b/TLDR · 75 tokens

Agent Prompt: Session title and branch generation

Agent for generating succinct session titles and git branch names.

openonion/connectonion · 19 tokens

pixel-art-animation-reviewer

Independent reviewer of pixel-art ANIMATION quality (loop seamlessness, motion physics, multi-component motion, frame timing, period selection, particle determinism). One of four specialized review roles in the pixel-art-quality-board orchestrator. Use when the user asks to "check animation timing", "verify loop…

AnastasiyaW/codex-claude-code-config · 140 tokens