agentmods.dev

powertree CLAUDE.md

Project-specific instructions for PowerTree, a Windows Python application that analyzes electronic-circuit power trees. It models sources, converters, loads, and related elements, then calculates power and produces diagrams and exports.

In plain words
What is it for?
Working on power-tree models and calculations, three operating corners, margin warnings, flowchart views, project-file serialization, and PDF, Excel, image, or Markdown exports.
Why use it?
They document the project’s electrical rules, calculation location, file format, user interface structure, and tests so code changes follow the existing design.

Instructions file

0 24d ago A scan 1,430 tokens original MIT
View the source file bin2ai/powertree
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 instructions/bin2ai/powertree/claude-md
Clone the repo
git clone --depth 1 https://github.com/bin2ai/powertree
Per session 1,430 This file is loaded in full into every session.
When invoked 1,430 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original 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 $0.01430 $0.01430
Opus 5 $0.00715 $0.00715
Sonnet 5 $0.00286 $0.00286
Haiku 4.5 $0.00143 $0.00143

Measured yesterday against content hash d859beb11f47, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

powertree CLAUDE.md 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 yesterday.

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.

CLAUDE.md · 90 lines

How it starts

The opening of the file, as written. The whole thing — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md - PowerTree

Read this first. Project-local guidance for how to work here.

Project

  • What: Local Windows Python app for electronic circuit power tree analysis - sources, converters, loads, series elements, blocks; bottom-up power calc; list + flowchart views; PDF/Excel/image/markdown exports.
  • Started: 2026-08-06
  • Status: v0.1 working app. main.py launches the PySide6 GUI (or PowerTree.bat). 14 pytest tests in tests/ cover solver math + serialization. Demo file at examples/DemoBoard.ptproj.

Architecture (read before editing)

  • src/powertree/model/elements.py — dataclasses (Source/Converter/Load/SeriesElement/ Block/Note), tree constraints (ONE source per tree, loads are leaves).
  • src/powertree/model/calc.py — bottom-up solver, 3 corners (min/typ/max), damped fixed-point for series-R × power-load; margin warnings. ALL electrical math lives here.
  • src/powertree/model/serialization.py — .ptproj versioned JSON (self-contained, notes + base64 images embedded).
  • src/powertree/ui/layout.py — pure-Python tidy-tree layout + orthogonal edge routing (no Qt). canvas.py — QGraphicsScene flowchart + headless render_tree_image() used by exports. mainwindow.py — all wiring; refresh() is the auto-refresh funnel.
  • src/powertree/export/ — pdf_report, excel_export (openpyxl + COM .xlsm), image, notes MD/HTML/PDF, md_render (shared markdown→flowables/HTML).
  • Run tests: .venv\Scripts\python.exe -m pytest tests -q.
  • Headless GUI/render testing: set QT_QPA_PLATFORM=offscreen and QT_QPA_FONTDIR=C:\Windows\Fonts (else text renders as tofu boxes).

Folder structure

CLAUDE.md     # this file - how Claude should work here
MEMORY.md     # running log: status, decisions, deliverables, open threads
README.md     # human-facing overview (what / why / how to run)
.obsidian/    # makes this folder an Obsidian vault (notes are .md)
.claude/      # settings.local.json (permissions) + hooks/
notes/        # Obsidian knowledge base - link with [[wikilinks]]
research/     # gathered sources, raw findings, agent dumps
artifacts/    # deliverables: reports, PDFs, exports, builds
scratch/      # throwaway / working files (safe to delete; gitignored)

Read the full file on GitHub · 90 lines

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. yesterday First seen · 90 lines · 1,430 tokens per session scan A d859beb11f47

Subscribe to this mod's changes

powertree CLAUDE.md is an instructions file published in the GitHub repository bin2ai/powertree (0 stars, last pushed 24d ago), licensed MIT. It adds 1,430 tokens to every session, about $0.0072 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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