global-greenwashing-claim-auditor

global-greenwashing-claim-auditor is a skill for Claude Code, Codex from microsoft/cat-agent-skills. It costs 96 tokens per session (1,175 once invoked), scanned A, original, MIT.

A review process for finding and classifying environmental or sustainability claims that may mislead people, such as claims about recycling, emissions, climate, or circularity. It can examine text, spreadsheets, documents, presentations, and web pages.

In plain words
What is it for?
Use it to extract claims, scan them with the supplied vocabulary and detection method, and report risks for markets such as the EU, UK, or Canada.
Why use it?
It helps identify claims that need evidence, clearer wording, or regional compliance review; it is compliance triage, not legal advice.

Skill for Claude CodeCodex ✓ vendor

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

Good fit Use it to extract claims, scan them with the supplied vocabulary and detection method, and report risks for markets such as the EU, UK, or Canada.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/microsoft/cat-agent-skills/global-greenwashing-claim-auditor
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 global-greenwashing-claim-auditor
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 global-greenwashing-claim-auditor

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/microsoft/cat-agent-skills/global-greenwashing-claim-auditor"><img src="https://agentmods.dev/badge/skills/microsoft/cat-agent-skills/global-greenwashing-claim-auditor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 96 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,175 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 $0.00096 $0.01175
Opus 5 $0.00048 $0.00588
Sonnet 5 $0.00019 $0.00235
Haiku 4.5 $0.00010 $0.00118

Measured 12d ago against content hash 62af549291ed, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

global-greenwashing-claim-auditor 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.

The scan reads SKILL.md. This mod also ships 8 executable files (scripts/analyze_csv.py, scripts/analyze_docx.py, scripts/analyze_pptx.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/global-greenwashing-claim-auditor/SKILL.md · 136 lines

How it starts

The opening of the file, as written. The whole thing — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Global Greenwashing Claim Auditor

Audit public-facing environmental claims using the bundled global vocabulary, regional taxonomy, legal research, and detection method. Treat the result as compliance triage, not legal advice.

Required references

Read these before making final findings:

  1. references/Greenwashing-vocab.md
  2. references/greenwashing-risk-taxonomy.md
  3. references/greenwashing-detection.md
  4. references/greenwashing-analysis-research.md

Use ANY only for universal vocabulary and claim-construction risks. Use CA, EU, and UK only when the corresponding regional rule, law, regulation, or guidance supports the finding.

Workflow

  1. Determine the input type and intended markets. If markets are unknown, analyze ANY, CA, EU, and UK, but mark regional applicability as unconfirmed.
  2. Extract all claim-bearing text while preserving source locations:
    • CSV: row and column.
    • XLSX: sheet and cell.
    • DOCX: paragraph or table cell.
    • PPTX: slide and shape.
    • Conversation: supplied text block.
    • URL: page URL and extracted block.
  3. Run the matching script for first-pass triage.
  4. Review every flagged unit against the full references. Keyword matches are leads, not verdicts.
  5. Add claims missed by keywords, including implied claims, imagery, omissions, comparisons, labels, scope overreach, lifecycle issues, and unsupported future commitments.
  6. Report separate findings for every applicable jurisdiction and retain the highest risk as the overall rating.
  7. Suggest a bounded rewrite, but never invent evidence, percentages, certifications, methods, or environmental benefits.

Scripts

Run scripts from the skill directory with Python 3. Use workspace-relative paths so commands remain portable across supported environments.

CSV

python scripts/analyze_csv.py "claims.csv" --jurisdictions CA EU UK --out audit.json

Use --text-column NAME repeatedly to choose columns. Without it, the script scans text-like columns and then all string columns if necessary.

Read the full file on GitHub · 136 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 · 136 lines · 96 tokens per session scan A 62af549291ed

Subscribe to this mod's changes

global-greenwashing-claim-auditor is a skill published in the GitHub repository microsoft/cat-agent-skills (69 stars, last pushed today), licensed MIT. It adds 96 tokens to every session and 1,175 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 2026-08-30.

Related

Other skills, from other repositories

specification-writing

A workflow for writing complete patent specifications from patent claims and an invention disclosure. It adapts the document to a chosen jurisdiction, such as the US, Europe, or China.

wanshuiyin/Auto-claude-code-research-in-sleep · 49 tokens

regulatory-research-fallback

Fallback workflow for regulatory research when web extraction tools fail on government PDFs.

HKUDS/OpenSpace · 20 tokens

x-scorecard

OpenSSF Scorecard for assessing open source project security. Check security best practices and compliance. Dependency: This is an x-cmd module. Install x-cmd first (see x-cmd skill for installation options). see x-cmd skill for installation.

x-cmd/x-cmd · 57 tokens

gesellschaftsrechtliche-satzungen-agb

Für Gesellschaftsrechtliche Satzungen AGB Abgrenzung: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt. Fachgebiet: AGB-Recht-Prüfer. Route: gesellschaftsrechtliche-satzungen-agb.

Klotzkette/claude-fuer-deutsches-recht · 69 tokens

memstack-business-gdpr

Use this skill when the user says 'GDPR', 'data protection', 'privacy compliance', 'DPA', 'DSAR', 'data subject request', 'cookie consent', 'privacy audit', 'CCPA', or asks 'do I need GDPR for this repo'. Scans the repository to detect what personal data is collected, classifies sensitivity, determines whether GDPR…

cwinvestments/memstack · 121 tokens

nda-review

Use when the user uploads or pastes a non-disclosure agreement and asks for review, redline, risk assessment, or a recommendation on whether to sign. Identifies missing standard protections, one-sided or unusual provisions, and operational issues; produces a structured report with severity ratings and citations to…

LegalQuants/lq-ai · 79 tokens