reducing-entropy

reducing-entropy is a skill for Claude Code, Codex from wpank/ai. It costs 30 tokens per session (1,651 once invoked), scanned A, original, no licence file.

Minimize total codebase size through ruthless simplification. Measure success by final code amount, not effort. Bias toward deletion.

Skill for Claude CodeCodex

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/wpank/ai/reducing-entropy
Any agent
npx skills add wpank/ai --skill reducing-entropy
Clone the repo
git clone --depth 1 https://github.com/wpank/ai

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 reducing-entropy

README.md
[![agentmods](https://agentmods.dev/badge/skills/wpank/ai/reducing-entropy.svg)](https://agentmods.dev/skills/wpank/ai/reducing-entropy)
Your own site
<a href="https://agentmods.dev/skills/wpank/ai/reducing-entropy"><img src="https://agentmods.dev/badge/skills/wpank/ai/reducing-entropy.svg" alt="Measured on agentmods" height="20"></a>
Per session 30 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,651 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 $0.00030 $0.01651
Opus 5 $0.00015 $0.00826
Sonnet 5 $0.00006 $0.00330
Haiku 4.5 $0.00003 $0.00165

Measured today against content hash be788c11c98d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

reducing-entropy 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 today.

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/testing/reducing-entropy/SKILL.md · 202 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

Files

What ships with it

5 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. today First seen · 202 lines · 30 tokens per session scan A be788c11c98d

Subscribe to this mod's changes

reducing-entropy is a skill published in the GitHub repository wpank/ai (11 stars, last pushed 6mo ago), with no licence file. It adds 30 tokens to every session and 1,651 once invoked, about $0.0002 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 2026-09-03.

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