eu-greenwashing-analysis

eu-greenwashing-analysis is a skill for Claude Code, Codex from microsoft/cat-agent-skills. It costs 81 tokens per session (1,074 once invoked), scanned A, original, MIT.

A skill that reviews environmental claims in product, packaging, advertising, or catalogue text against European Union greenwashing rules.

In plain words
What is it for?
Use it to identify environmental claims and produce a structured finding for each claim under the specified EU requirements.
Why use it?
It highlights vague or unsupported sustainability wording that may create compliance risk.

Skill for Claude CodeCodex ✓ vendor

Written for no agent in particular: nothing here depends on one.

Good fit Use it to identify environmental claims and produce a structured finding for each claim under the specified EU requirements.

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Install with agentmods
npx agentmods add skills/microsoft/cat-agent-skills/eu-greenwashing-analysis
About the project

microsoft/cat-agent-skills is a static website that catalogs reusable instruction sets and related packages for AI agents. People use it to search, filter, rate, and download skills for Cowork, Copilot Studio, and Scout, along with Copilot plugins and Scout automations. The catalogue entries are the skills, instructions, plugins, and settings displayed by the site.

microsoft/cat-agent-skills · 69 stars · on GitHub

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 microsoft/cat-agent-skills --skill eu-greenwashing-analysis
Clone the repo
git clone --depth 1 https://github.com/microsoft/cat-agent-skills

Made for: Claude Code, Codex.

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 eu-greenwashing-analysis

README.md
[![agentmods](https://agentmods.dev/badge/skills/microsoft/cat-agent-skills/eu-greenwashing-analysis/github.svg)](https://agentmods.dev/skills/microsoft/cat-agent-skills/eu-greenwashing-analysis)
Your own site
<a href="https://agentmods.dev/skills/microsoft/cat-agent-skills/eu-greenwashing-analysis"><img src="https://agentmods.dev/badge/skills/microsoft/cat-agent-skills/eu-greenwashing-analysis/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 eu-greenwashing-analysis

Your own site · 80×15
<a href="https://agentmods.dev/skills/microsoft/cat-agent-skills/eu-greenwashing-analysis"><img src="https://agentmods.dev/badge/skills/microsoft/cat-agent-skills/eu-greenwashing-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 81 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,074 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00081 $0.01074
Opus 5 $0.00041 $0.00537
Sonnet 5 $0.00016 $0.00215
Haiku 4.5 $0.00008 $0.00107

Measured 12d ago against content hash d33b9fc639e9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

eu-greenwashing-analysis 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.

submissions/eu-greenwashing-analysis/SKILL.md · 99 lines

How it starts

The opening of the file, as written. The whole thing — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.

EU Greenwashing Analysis

Run this procedure whenever a user submits a product description, marketing text, or catalog entry for review against EU rules on environmental claims (Directive 2024/825 amending 2005/29/EC, and the proposed Green Claims Directive COM/2023/166).

The output is always a structured findings report: one block per flagged claim plus a summary. Do not editorialize outside that structure.


Step 1 — Extract all environmental claims

Read the full text and list every statement that references environmental benefit, sustainability, ecological impact, or climate performance. Examples include: "eco-friendly", "carbon neutral", "100% natural", "sustainable", "green", "biodegradable", "zero emissions", "climate positive", "recycled", "plastic-free", "low carbon", "environmentally safe".

If no such claims exist → output: "No environmental claims detected — Out of Scope." and stop.


Step 2 — Assess each claim against EU greenwashing criteria

For each extracted claim, check ALL of the following:

  1. Vagueness / Generic claim — Is the claim broad or unsubstantiated (e.g., "eco", "green", "sustainable") with no measurable indicator, certification, or evidence cited? → High risk flag.
  2. Incomplete life-cycle scope — Does the claim highlight one phase of the product life cycle (e.g., recyclable packaging) while ignoring other high-impact phases (manufacturing, transport, end-of-life)? → Medium to High risk flag.
  3. Unverifiable / No third-party certification — Is there no independent verification, recognized EU certification, or scientific reference to support the claim? → Medium to High risk flag.
  4. Misleading comparison — Does the claim compare the product favorably against an irrelevant benchmark, obsolete product, or omit material information that would change the consumer's perception? → High risk flag.
  5. Carbon offset reliance — Does the claim (e.g., "carbon neutral", "net zero") rely primarily on carbon offsetting schemes rather than actual emission reductions? If offsets are not independently verified under EU-recognized standards → Medium to High risk flag.
  6. Unsupported label or logo — Does the product display an environmental label, badge, or logo that is not officially recognized in the EU, or whose criteria have not been verified? → High risk flag.
  7. Forward-looking claim presented as current — Is a future commitment (e.g., "will be carbon neutral by 2030") presented in a way that implies a current state? → Medium risk flag.

Read the full file on GitHub · 99 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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 · 99 lines · 81 tokens per session scan A d33b9fc639e9

Subscribe to this mod's changes

eu-greenwashing-analysis is a skill published in the GitHub repository microsoft/cat-agent-skills (69 stars, last pushed today), licensed MIT. It adds 81 tokens to every session and 1,074 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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