power-plant-performance

power-plant-performance is a skill for Claude Code, Codex from Amazon-Quick/Amazon-Quick-official-catalog. It costs 85 tokens per session (4,751 once invoked), scanned A, original, MIT-0.

A thermal power-plant analysis tool covering efficiency, availability, thermodynamic cycles, environmental effects, equipment degradation, and comparisons across plants. Heat rate measures the fuel energy needed to produce electricity, while NERC GADS is a standard system for reporting plant availability and outage data.

In plain words
What is it for?
Use it to calculate heat rate, EFOR, and availability; model Rankine or Brayton cycles; adjust results for ambient conditions; track degradation; and compare a fleet of plants.
Why use it?
It brings common power-plant performance calculations and trends into one analysis workflow.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it to calculate heat rate, EFOR, and availability; model Rankine or Brayton cycles; adjust results for ambient conditions; track degradation; and compare a fleet of plants.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/amazon-quick/amazon-quick-official-catalog/power-plant-performance
Install

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.

Any agent
npx skills add Amazon-Quick/Amazon-Quick-official-catalog --skill power-plant-performance
Clone the repo
git clone --depth 1 https://github.com/Amazon-Quick/Amazon-Quick-official-catalog

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for power-plant-performance

README.md
[![agentmods](https://agentmods.dev/badge/skills/amazon-quick/amazon-quick-official-catalog/power-plant-performance/github.svg)](https://agentmods.dev/skills/amazon-quick/amazon-quick-official-catalog/power-plant-performance)
Your own site
<a href="https://agentmods.dev/skills/amazon-quick/amazon-quick-official-catalog/power-plant-performance"><img src="https://agentmods.dev/badge/skills/amazon-quick/amazon-quick-official-catalog/power-plant-performance/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.

agentmods 80×15 button for power-plant-performance

Your own site · 80×15
<a href="https://agentmods.dev/skills/amazon-quick/amazon-quick-official-catalog/power-plant-performance"><img src="https://agentmods.dev/badge/skills/amazon-quick/amazon-quick-official-catalog/power-plant-performance.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 85 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,751 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00085 $0.04751
Opus 5 $0.00043 $0.02375
Sonnet 5 $0.00017 $0.00950
Haiku 4.5 $0.00009 $0.00475

Measured 9d ago against content hash 476098c31d1d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

power-plant-performance 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.

skills/energy-utilities/power-plant-performance/SKILL.md · 385 lines

The source is not reproduced here

Licensed MIT-0

The repository is licensed MIT-0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

Files

What ships with it

3 files 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.

Changes

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.

  1. 9d ago First seen · 385 lines · 85 tokens per session scan A 476098c31d1d

Subscribe to this mod's changes

power-plant-performance is a skill published in the GitHub repository Amazon-Quick/Amazon-Quick-official-catalog (48 stars, last pushed 7d ago), licensed MIT-0. It adds 85 tokens to every session and 4,751 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 2026-08-30.

Related

Other skills, from other repositories

academic-paper-to-chinese-insight-pdf

Turn an academic paper PDF into a high-quality Chinese insight report and export it as a polished Chinese PDF. Use when asked to read a paper, translate or summarize a paper into Chinese, extract the paper's core ideas, produce original insights/opinions, explain the paper in simpler language, or deliver a Chinese PDF…

davidtoby/agent-skills · 113 tokens

chinese-pdf-document-workflows

Class-level workflow for extracting, converting, editing, and producing polished Chinese PDFs and document reports from PDFs, papers, webpages, markdown, and video transcripts. Use when asked to create Chinese PDF reports, fix Chinese font/glyph rendering, summarize academic papers into Chinese insight reports…

davidtoby/agent-skills · 83 tokens

rp-diet

Evidence-based nutrition guidance from The Renaissance Diet 2.0. Activate when users ask about diet for body composition, macros, calories, meal timing, fat loss, muscle gain, cutting, bulking, or nutrition periodization.

firstsun-dev/skills · 50 tokens

jupyter-live-kernel

Iterative Python via live Jupyter kernel (hamelnb).

davidtoby/agent-skills · 19 tokens

ilya-sutskever-perspective

A thinking guide based on Ilya Sutskever’s public conversations, research papers, testimony, and recommended sources. It applies that material to AI research direction, technical reasoning, and safety questions.

davidtoby/agent-skills · 183 tokens

arxiv

Search arXiv papers by keyword, author, category, or ID.

RobinBeraud/hermes-skills · 18 tokens