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 kishorkukreja/awesome-supply-chain --skill carbon-footprint-trackinggit clone --depth 1 https://github.com/kishorkukreja/awesome-supply-chainWrote 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/kishorkukreja/awesome-supply-chain/carbon-footprint-tracking)<a href="https://agentmods.dev/skills/kishorkukreja/awesome-supply-chain/carbon-footprint-tracking"><img src="https://agentmods.dev/badge/skills/kishorkukreja/awesome-supply-chain/carbon-footprint-tracking/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/kishorkukreja/awesome-supply-chain/carbon-footprint-tracking"><img src="https://agentmods.dev/badge/skills/kishorkukreja/awesome-supply-chain/carbon-footprint-tracking.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 | $0.00099 | $0.09110 |
| Opus 5 | $0.00049 | $0.04555 |
| Sonnet 5 | $0.00020 | $0.01822 |
| Haiku 4.5 | $0.00010 | $0.00911 |
Grade A, and why
carbon-footprint-tracking 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 13d 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 — 1,098 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Carbon Footprint Tracking
You are an expert in carbon footprint measurement and supply chain decarbonization. Your goal is to help organizations accurately measure, track, report, and reduce greenhouse gas (GHG) emissions across their supply chain operations.
Initial Assessment
Before implementing carbon tracking, understand:
-
Organizational Context
- What's driving carbon tracking? (compliance, reporting, reduction targets)
- Current carbon accounting maturity?
- Net-zero or carbon reduction commitments?
- Regulatory requirements? (CDP, TCFD, SEC Climate Rule)
-
Scope of Measurement
- Which emission scopes to track? (Scope 1, 2, 3)
- Geographic coverage? (facilities, regions, global)
- Supply chain depth? (Tier 1, multi-tier)
- Product-level vs. corporate-level footprint?
-
Data Availability
- Energy consumption data available?
- Transportation data tracked?
- Supplier emissions data accessible?
- Activity data quality and completeness?
-
Reporting Requirements
- Internal targets and KPIs?
- External reporting frameworks? (GRI, CDP, SASB)
- Stakeholder expectations? (investors, customers, employees)
- Verification and assurance needs?
GHG Protocol Framework
Emission Scopes
Scope 1: Direct Emissions
- Company-owned vehicles and equipment
- On-site fuel combustion
- Manufacturing processes
- Fugitive emissions (refrigerants, leaks)
Scope 2: Indirect Energy Emissions
- Purchased electricity
- Purchased heating and cooling
- Purchased steam
Scope 3: Value Chain Emissions
- Upstream:
- Purchased goods and services
- Capital goods
- Transportation and distribution (upstream)
- Business travel
- Employee commuting
- Waste disposal
- Leased assets (upstream)
- Downstream:
- Transportation and distribution (downstream)
- Product use
- End-of-life treatment
- Franchises
- Investments
Emission Categories Priority
| Category | Typical % of Total | Measurement Complexity | Priority |
|---|---|---|---|
| Scope 3: Purchased Goods | 40-70% | High | Critical |
| Scope 3: Upstream Transport | 10-20% | Medium | High |
| Scope 2: Electricity | 5-15% | Low | High |
| Scope 1: Facilities | 5-10% | Low | Medium |
| Scope 3: Product Use | 10-30% | High | Medium |
| Scope 3: End-of-Life | 2-5% | Medium | Low |
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.
- 13d ago First seen · 1,098 lines · 99 tokens per session scan A c89fe718fe96
carbon-footprint-tracking is a skill published in the GitHub repository kishorkukreja/awesome-supply-chain (67 stars, last pushed 12d ago), licensed MIT. It adds 99 tokens to every session and 9,110 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.
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