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 vaquarkhan/data-engineering-agent-skills --skill esg-and-sustainability-regulatory-reportinggit clone --depth 1 https://github.com/vaquarkhan/data-engineering-agent-skillsWrote 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/vaquarkhan/data-engineering-agent-skills/esg-and-sustainability-regulatory-reporting)<a href="https://agentmods.dev/skills/vaquarkhan/data-engineering-agent-skills/esg-and-sustainability-regulatory-reporting"><img src="https://agentmods.dev/badge/skills/vaquarkhan/data-engineering-agent-skills/esg-and-sustainability-regulatory-reporting/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/vaquarkhan/data-engineering-agent-skills/esg-and-sustainability-regulatory-reporting"><img src="https://agentmods.dev/badge/skills/vaquarkhan/data-engineering-agent-skills/esg-and-sustainability-regulatory-reporting.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 | $0.00063 | $0.00695 |
| Opus 5 | $0.00032 | $0.00347 |
| Sonnet 5 | $0.00013 | $0.00139 |
| Haiku 4.5 | $0.00006 | $0.00069 |
Grade A, and why
esg-and-sustainability-regulatory-reporting 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.
How it starts
The opening of the file, as written. The whole thing — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ESG And Sustainability Regulatory Reporting
Overview
Use this skill when sustainability reporting becomes a governed data-engineering problem instead of a spreadsheet exercise. It helps agents build traceable data pipelines, materiality and methodology records, value-chain inputs, approval paths, and assurance-ready evidence for ESG or sustainability disclosures.
When to Use
- building data products for
CSRD,ESRS,BRSR, climate, or investor-facing sustainability disclosures - managing emissions, workforce, supplier, governance, or value-chain metrics
- preparing ESG datasets for audit, assurance, or board reporting
- replacing spreadsheet-driven sustainability reporting with governed pipelines
- aligning sustainability metrics with finance, ERP, procurement, and operational source systems
Do not treat ESG reporting as presentation-layer work only.
Workflow
-
Define the reporting perimeter and framework. Clarify:
- reporting framework and audience
- legal entity and consolidation scope
- materiality or relevance process
- required disclosures, KPIs, and narrative dependencies
-
Map each disclosure to source systems and owners. Include:
- source documents and systems
- transformation logic
- estimation or proxy rules
- approvers and accountable owners
- value-chain or supplier-supplied data
-
Make methodology versioned and reviewable. Record:
- calculation rules
- emission factors or external reference sets
- thresholds and materiality criteria
- change logs
- exception handling
-
Build controls and evidence around the data product. Require:
- lineage to source evidence
- approval workflow
- segregation of duties where needed
- reconciliation and reasonableness checks
- locked reporting snapshots
-
Design for assurance and publication. Confirm:
- every datapoint can be traced
- reported outputs can be regenerated
- narrative and metric versions are aligned
- publication format and archival requirements are known
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.
- 12d ago First seen · 84 lines · 63 tokens per session scan A 8f848fc8b55e
esg-and-sustainability-regulatory-reporting is a skill published in the GitHub repository vaquarkhan/data-engineering-agent-skills (45 stars, last pushed 3mo ago), licensed MIT. It adds 63 tokens to every session and 695 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 2026-08-30.
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