egret

egret is a skill for Claude Code, Codex from Power-Agent/PowerSkills. It costs 107 tokens per session (439 once invoked), scanned A, original, no licence file.

A workflow for Egret, a Python toolkit for optimizing electricity-market schedules and grid operations. It guides studies such as DC or AC optimal power flow and unit commitment.

In plain words
What is it for?
Use it to find low-cost generator dispatch, decide which units should run, check transmission congestion, and test whether an operating schedule is feasible.
Why use it?
It turns plain requests about cost, congestion, or feasibility into a structured Egret study. This reduces the work of preparing and checking market or operating models.

Skill for Claude CodeCodex

Part of the powerskills-tool plugin — 11 skills shipped together

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.

agentmods
npx agentmods add skills/power-agent/powerskills/egret
Any agent
npx skills add Power-Agent/PowerSkills --skill egret
Clone the repo
git clone --depth 1 https://github.com/Power-Agent/PowerSkills

Made for: Claude Code, Codex.

Or install powerskills-tool, the plugin that ships this one along with the rest of its 11 skills.

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 egret

README.md
[![agentmods](https://agentmods.dev/badge/skills/power-agent/powerskills/egret.svg)](https://agentmods.dev/skills/power-agent/powerskills/egret)
Your own site
<a href="https://agentmods.dev/skills/power-agent/powerskills/egret"><img src="https://agentmods.dev/badge/skills/power-agent/powerskills/egret.svg" alt="Measured on agentmods" height="20"></a>
Per session 107 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 439 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00107 $0.00439
Opus 5 $0.00053 $0.00219
Sonnet 5 $0.00021 $0.00088
Haiku 4.5 $0.00011 $0.00044

Measured 5d ago against content hash 9cf09b076179, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

egret 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 5d 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.

powerskills-tool/skills/egret/SKILL.md · 34 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 5d ago First seen · 34 lines · 107 tokens per session scan A 9cf09b076179

Subscribe to this mod's changes

egret is a skill published in the GitHub repository Power-Agent/PowerSkills (65 stars, last pushed 13d ago), with no licence file. It adds 107 tokens to every session and 439 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.

Related

Other skills, from other repositories

monte-carlo

Use when the user wants Monte Carlo simulation of a PlanExe model — sampling from bounds to produce output distributions (mean/std/percentiles), threshold pass probabilities, and Pearson-correlation sensitivity rankings — given an extract-parameters-from-full JSON, a generate-bounds JSON, a generate-calculations…

PlanExeOrg/PlanExe · 71 tokens

cointegration-analysis

Cointegration testing for pairs trading using Engle-Granger, Johansen, and rolling stability analysis.

agiprolabs/claude-trading-skills · 23 tokens

neqsim-utility-design

Screening-level utility-system DESIGN with NeqSim Java classes and the MCP designUtilities tool — fired steam Boiler, Deaerator, vapour-compression RefrigerationCycle, on-site NitrogenSystem generator, and multi-pressure SteamNetwork header cascade, plus the UtilitySystemDesigner aggregator that harvests demands from…

equinor/neqsim · 144 tokens

fin-paper-figure

Generate academic-quality figures (>=300 DPI) for economics and finance papers.

csmar432/finai-research · 14 tokens

quant-experiment-runtime

Quant research experiment executor: discover an offline source database under the workdir's code-repo, build a panel, run a Research Artifact's entry point to compute research-object values, and evaluate IC/ICIR/RANKIC/coverage metrics. Runtime = Experiment Executor; it runs a Research Artifact via a Python-native…

CamusGIT/EvoQuant · 179 tokens

fin-paper-writing

经济金融论文写作编排器。根据PAPEROUTLINE.md和REFINEDDESIGN.md,编排调用fin-paper-draft(正文写作)、fin-paper-figure(图表生成)、fin-review-loop(review循环),管理版本并确保章节间的一致性。.

csmar432/finai-research · 65 tokens