elegance-trap-probe

elegance-trap-probe is a skill for Claude Code, Codex from yogsoth-ai/stress-test. It costs 103 tokens per session (1,423 once invoked), scanned A, original, Apache-2.0.

A review method that tests whether a simple, elegant explanation is genuinely supported by evidence or merely sounds convincing. It looks for predictions and limits that distinguish real simplicity from relabeling.

In plain words
What is it for?
Use it to challenge unified results, examine what they forbid or predict, and decide whether their simplicity is earned.
Why use it?
It helps prevent attractive theories or designs from being accepted just because they are neat and easy to explain.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents.

Good fit Use it to challenge unified results, examine what they forbid or predict, and decide whether their simplicity is earned.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/yogsoth-ai/stress-test/elegance-trap-probe
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 yogsoth-ai/stress-test --skill elegance-trap-probe
Clone the repo
git clone --depth 1 https://github.com/yogsoth-ai/stress-test

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 elegance-trap-probe

README.md
[![agentmods](https://agentmods.dev/badge/skills/yogsoth-ai/stress-test/elegance-trap-probe/github.svg)](https://agentmods.dev/skills/yogsoth-ai/stress-test/elegance-trap-probe)
Your own site
<a href="https://agentmods.dev/skills/yogsoth-ai/stress-test/elegance-trap-probe"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/stress-test/elegance-trap-probe/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 elegance-trap-probe

Your own site · 80×15
<a href="https://agentmods.dev/skills/yogsoth-ai/stress-test/elegance-trap-probe"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/stress-test/elegance-trap-probe.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 103 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,423 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 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 5.1 $0.00103 $0.01423
Opus 5 $0.00051 $0.00711
Sonnet 5 $0.00021 $0.00285
Haiku 4.5 $0.00010 $0.00142

Measured 9d ago against content hash ab37d17e91aa, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

elegance-trap-probe 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/elegance-trap-probe/SKILL.md · 49 lines

How it starts

The opening of the file, as written. The whole thing — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Elegance Trap Probe

The counter-intuitive attacker. Every other strategy attacks weaknesses; this one attacks a STRENGTH — the artifact's beauty. A common guiding aesthetic is Occam: a good result should be simple and elegant (LLM scaling laws replacing linguistics-inspired CNN/RNN; one principle of natural selection explaining all species). When we produce a beautiful unified result — one generator, a small number of projections, the key object as a symmetry — that is exactly what we hoped for. Which is precisely why it's dangerous. The same aesthetic that signals truth also seduces: a pretty story is easy to believe because it's pretty, not because it's right. This strategy interrogates whether the elegance was EARNED or is DECORATIVE, turning the aesthetic from a feeling into a falsifiable bar.

The distinction that does all the work

Earned simplicity buys its compression by FORBIDDING and PREDICTING more. Natural selection is elegant because it forbids vast swaths of observation (no species improves for its own sake; no inheritance of un-selected acquired traits at the population level) and predicts specifics (fossils in strata order, antibiotic resistance dynamics). Scaling laws are elegant because they PREDICT loss at unseen scale — risky, falsifiable, and they held. Earned simplicity is a compression of MANY constraints into ONE generator that then GENERATES those constraints back, plus new ones.

Decorative simplicity achieves its prettiness by RE-DESCRIBING what we already knew in a unifying vocabulary, forbidding nothing new. It "explains" every existing observation because it was fitted to them; it makes no risky prediction; remove it and we lose a nice story but no predictive content. Freud's framework "explained" every behavior — and forbade none. A unification that says "everything is a projection of one generator" is decorative IF, for any conceivable observation, it can always find SOME projection to call it — i.e. if it cannot say what it would look like for the unification to be FALSE.

Read the full file on GitHub · 49 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. 9d ago First seen · 49 lines · 103 tokens per session scan A ab37d17e91aa

Subscribe to this mod's changes

elegance-trap-probe is a skill published in the GitHub repository yogsoth-ai/stress-test (2 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 103 tokens to every session and 1,423 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 2026-08-31.

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