screenize CLAUDE.md

screenize CLAUDE.md is an instructions file for coding agents from syi0808/screenize. It costs 2,282 tokens per session, scanned A, original, Apache-2.0.

Project instructions for screenize, a macOS screen-recording and editing app. They define coding principles, when to plan larger tasks, and how to use separate agents for focused work.

In plain words
What is it for?
Use them when developing screenize or working on its codebase. They guide planning, subtask delegation, root-cause fixes, and updates to the project's lessons file.
Why use it?
They give coding agents a consistent workflow for making and checking changes. They also require recording lessons after user corrections.

Instructions file

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/syi0808/screenize/claude-md
Clone the repo
git clone --depth 1 https://github.com/syi0808/screenize

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 screenize CLAUDE.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/syi0808/screenize/claude-md.svg)](https://agentmods.dev/instructions/syi0808/screenize/claude-md)
Your own site
<a href="https://agentmods.dev/instructions/syi0808/screenize/claude-md"><img src="https://agentmods.dev/badge/instructions/syi0808/screenize/claude-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 2,282 This file is loaded in full into every session.
When invoked 2,282 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 $0.02282 $0.02282
Opus 5 $0.01141 $0.01141
Sonnet 5 $0.00456 $0.00456
Haiku 4.5 $0.00228 $0.00228

Measured 4d ago against content hash 48440533efeb, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

screenize 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 4d 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.

CLAUDE.md · 231 lines

How it starts

The opening of the file, as written. The whole thing — 231 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

Core Principles

  • Simplicity First: Make every change as simple as possible. Impact minimal code.
  • No Laziness: Find root causes. No temporary fixes. Senior developer standards.
  • Minimal Impact: Changes should only touch what's necessary. Avoid introducing bugs.

Workflow Orchestration

Plan Node Default

  • Enter plan mode for ANY non-trivial task (3+ steps or architectural decisions).
  • If something goes sideways, STOP and re-plan immediately — don't keep pushing.
  • Use plan mode for verification steps, not just building.
  • Write detailed specs upfront to reduce ambiguity.

Subagent Strategy

  • Use subagents liberally to keep main context window clean.
  • Offload research, exploration, and parallel analysis to subagents.
  • For complex problems, throw more compute at it via subagents.
  • One task per subagent for focused execution.

Self-Improvement Loop

  • After ANY correction from the user: update tasks/lessons.md with the pattern.
  • Write rules for yourself that prevent the same mistake.
  • Ruthlessly iterate on these lessons until mistake rate drops.
  • Review lessons at session start for relevant project.

Verification Before Done

  • Never mark a task complete without proving it works.
  • Diff behavior between main and your changes when relevant.
  • Ask yourself: "Would a staff engineer approve this?"
  • Run build, check logs, demonstrate correctness.

Demand Elegance (Balanced)

  • For non-trivial changes: pause and ask "is there a more elegant way?"
  • If a fix feels hacky: "Knowing everything I know now, implement the elegant solution."
  • Skip this for simple, obvious fixes — don't over-engineer.
  • Challenge your own work before presenting it.

Autonomous Bug Fixing

  • When given a bug report: just fix it. Don't ask for hand-holding.
  • Point at logs, errors, failing tests — then resolve them.
  • Zero context switching required from the user.
  • Go fix failing CI tests without being told how.

Read the full file on GitHub · 231 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. 4d ago First seen · 231 lines · 2,282 tokens per session scan A 48440533efeb

Subscribe to this mod's changes

screenize CLAUDE.md is an instructions file published in the GitHub repository syi0808/screenize (601 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 2,282 tokens to every session, about $0.0114 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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