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 datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill embodied-carbon-esggit clone --depth 1 https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_ConstructionWrote 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/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/embodied-carbon-esg)<a href="https://agentmods.dev/skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/embodied-carbon-esg"><img src="https://agentmods.dev/badge/skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/embodied-carbon-esg/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/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/embodied-carbon-esg"><img src="https://agentmods.dev/badge/skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/embodied-carbon-esg.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00047 | $0.00649 |
| Opus 5 | $0.00023 | $0.00324 |
| Sonnet 5 | $0.00009 | $0.00130 |
| Haiku 4.5 | $0.00005 | $0.00065 |
Grade A, and why
embodied-carbon-esg 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 9d 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 — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Embodied Carbon & ESG for Construction (2026)
Why it matters now
From 2026 the EU CSRD (Corporate Sustainability Reporting Directive) and EU Taxonomy force contractors and developers to report embodied carbon (A1–A5 life-cycle modules), not just operational energy. Estimators need carbon numbers next to price numbers at the BOQ line level.
Method
Carbon = quantity × carbon factor, applied per material resource line — exactly parallel to quantity × unit price = cost.
work item → components[] → material lines → quantity × EF (kg CO₂e / unit) → line carbon
BOQ roll-up: Σ line carbon = project embodied carbon (A1–A3) + transport/waste (A4–A5)
Data sources for factors
| Source | Coverage | License |
|---|---|---|
| ÖKOBAUDAT (DE) | building materials | open |
| INIES (FR) FDES | products | open |
| ICE Database (UK) | embodied carbon | free registration |
| EPD libraries (ECO Platform) | manufacturer EPDs | varies |
The CWICR bases already carry per-resource quantity and unit — attach an EF (kg CO₂e/unit) column for the materials and the roll-up is automatic.
What to compute per project
- A1–A3 embodied carbon per BOQ section and per trade (from material lines).
- A4–A5 transport + site waste assumptions (distance bands, waste rates per material).
- kg CO₂e / m² and / m³ intensity benchmarks for early design.
- Hotspot report: top 10 carbon lines (usually concrete, steel, aluminium, insulation).
EU Taxonomy / CSRD alignment
- Map each work item to the taxonomy activity (construction of new buildings 7.1, renovation 7.2, …).
- Report DNSH (Do No Significant Harm) screening: circularity, waste, water for the top materials.
- Keep the evidence trail: factor source + version per line (auditors ask).
Honest limits
- Carbon factors are regional and versioned — never mix databases without noting it.
- BIM takeoff gives geometry; carbon needs material takeoff (from CWICR
resource_name+resource_quantity). - Early-phase estimates are ±30–50%; label them as such.
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.
- 9d ago First seen · 56 lines · 47 tokens per session scan A 0e7094dac745
embodied-carbon-esg is a skill published in the GitHub repository datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction (312 stars, last pushed 21d ago), licensed MIT. It adds 47 tokens to every session and 649 once invoked, about $0.0002 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.
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