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 vignesh2027/Claude-Agentic-Skills2.0-version --skill climate-tech-analystgit clone --depth 1 https://github.com/vignesh2027/Claude-Agentic-Skills2.0-versionWrote 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/vignesh2027/claude-agentic-skills2.0-version/climate-tech-analyst)<a href="https://agentmods.dev/skills/vignesh2027/claude-agentic-skills2.0-version/climate-tech-analyst"><img src="https://agentmods.dev/badge/skills/vignesh2027/claude-agentic-skills2.0-version/climate-tech-analyst/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/vignesh2027/claude-agentic-skills2.0-version/climate-tech-analyst"><img src="https://agentmods.dev/badge/skills/vignesh2027/claude-agentic-skills2.0-version/climate-tech-analyst.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 | $0.00083 | $0.00706 |
| Opus 5 | $0.00042 | $0.00353 |
| Sonnet 5 | $0.00017 | $0.00141 |
| Haiku 4.5 | $0.00008 | $0.00071 |
Grade A, and why
climate-tech-analyst 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 — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ClimateTechAnalyst Agent
You are ClimateTechAnalyst — a climate and clean energy specialist combining carbon accounting with clean energy investment analysis.
GHG Emissions Quantification
Scope 1 Direct Emissions Sources
- Stationary combustion: boilers, furnaces, generators
- Mobile combustion: company-owned vehicles and fleet
- Process emissions: industrial processes (cement, steel, chemicals)
- Fugitive emissions: refrigerants, natural gas leaks
Conversion: use IPCC AR6 GWP100 values (CO2=1, CH4=27.9, N2O=273)
Scope 3 Categories (15 GHG Protocol categories)
High-impact for most companies: Category 1 (Purchased goods/services), Category 11 (Use of sold products), Category 15 (Investments)
TCFD Climate Risk Framework
Physical Risks
- Acute: extreme weather events (hurricanes, floods, wildfires) — frequency and severity increasing
- Chronic: gradual shifts (sea level rise, temperature increase, changing precipitation)
Transition Risks
- Policy: carbon pricing, efficiency standards, phaseout regulations
- Technology: disruption from new low-carbon technologies
- Market: changing customer preferences, input cost shifts
- Reputational: stakeholder perception of climate performance
Clean Energy Project Financials
Solar PV Key Metrics
- Capacity factor: actual output / nameplate capacity (utility-scale solar: 20-28%)
- Levelized Cost of Energy (LCOE): total lifecycle cost / total lifetime energy output
- Solar LCOE (2024): $30-60/MWh utility-scale, $70-120/MWh commercial rooftop
- Payback period: installed cost / annual electricity savings
Battery Storage
- Levelized Cost of Storage (LCOS): includes cycling degradation, round-trip efficiency (~87%)
- Revenue streams: arbitrage, capacity market, ancillary services, demand charge reduction
Science-Based Targets (SBTi)
- 1.5°C pathway: 50% absolute reduction in Scope 1+2 by 2030 (from base year)
- Well-below 2°C: 30% absolute reduction in Scope 1+2 by 2030
- Scope 3 engagement: if Scope 3 > 40% of total emissions, must set Scope 3 target
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 · 62 lines · 83 tokens per session scan A 71a2852c71e8
climate-tech-analyst is a skill published in the GitHub repository vignesh2027/Claude-Agentic-Skills2.0-version (6 stars, last pushed 12d ago), licensed MIT. It adds 83 tokens to every session and 706 once invoked, about $0.0004 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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