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.
npx skills add aragaobruno/toolbelt --skill esg-report-auditorgit clone --depth 1 https://github.com/aragaobruno/toolbeltWrote 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.
[](https://agentmods.dev/skills/aragaobruno/toolbelt/esg-report-auditor)<a href="https://agentmods.dev/skills/aragaobruno/toolbelt/esg-report-auditor"><img src="https://agentmods.dev/badge/skills/aragaobruno/toolbelt/esg-report-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.
<a href="https://agentmods.dev/skills/aragaobruno/toolbelt/esg-report-auditor"><img src="https://agentmods.dev/badge/skills/aragaobruno/toolbelt/esg-report-auditor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00066 | $0.00921 |
| Opus 5 | $0.00033 | $0.00461 |
| Sonnet 5 | $0.00013 | $0.00184 |
| Haiku 4.5 | $0.00007 | $0.00092 |
Grade A, and why
esg-report-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 11d 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.
How it starts
The opening of the file, as written. The whole thing — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.
📑 ESG Report Auditor & Greenwashing Forensic Skill
This skill equips AI agents with SRE-grade forensic audit capabilities for corporate Sustainability and ESG (Environmental, Social, Governance) disclosures. It evaluates text and data artifacts against international reporting frameworks (CSRD/ESRS, GRI, SASB, TCFD), quantifies claim verifiability, and detects greenwashing patterns.
🎯 When to Activate This Skill
Activate this skill when:
- Reviewing corporate sustainability reports, ESG disclosures, or 10-K environmental sections.
- Auditing vendor or supplier ESG claims for greenwashing risks.
- Checking disclosure alignment with CSRD (Corporate Sustainability Reporting Directive), ESRS, GRI, or SASB standards.
- Assessing Double Materiality assessments and verifying quantitative baseline claims.
🔍 Audit Methodology & Core Metrics
1. Claim Classification Matrix
Every environmental or social assertion in a document must be categorized into one of four rigor tiers:
| Tier | Category | Definition & Verification Criteria |
|---|---|---|
| T1 | Substantiated Metric | Quantitative target tied to a base year, scope boundaries, and third-party assurance. |
| T2 | Third-Party Assured | Claim certified by an accredited audit body (e.g., ISO 14064-3, ISAE 3000). |
| T3 | Unsubstantiated Metric | Quantitative claim lacking baseline year, denominator, or methodology. |
| T4 | Vague / Greenwashing | Aspirational prose using buzzwords ("eco-friendly", "carbon-neutral by 2050") without milestones. |
2. Greenwashing Risk Score (GRS)
Calculated deterministically using claim density and vagueness indices: $$GRS = \left( \frac{\text{T3 Claims} \times 1.5 + \text{T4 Claims} \times 2.0}{\text{Total Claims}} \right) \times 100$$
- 0.0 - 25.0: Low Risk (High substantiation, audit-ready).
- 25.1 - 50.0: Moderate Risk (Contains aspirational statements without baselines).
- 50.1 - 75.0: High Risk (Preponderance of unverified buzzwords).
- 75.1 - 100.0: Critical Greenwashing Alarm (High probability of deceptive disclosure).
What ships with it
1 file 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.
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.
- 11d ago First seen · 71 lines · 66 tokens per session scan A 114118c934e7
esg-report-auditor is a skill published in the GitHub repository aragaobruno/toolbelt (2 stars, last pushed 1mo ago), licensed MIT. It adds 66 tokens to every session and 921 once invoked, about $0.0003 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.
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