Skill Grader / report card

WJZ-P/gemini-skill

Graded A on context cost and craft. 48 tokens of this skill ride in the system prompt of every message, whether or not it fires (light footprint). Last graded Sep 14, 2026; re-graded weekly from HEAD.

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A overall · 3.95/4

github.com/WJZ-P/gemini-skill@HEAD · 1 skill · 48t resident (light) · 1,014t per activation · 10,937t bundle

Resident footprint

48t of description text ride in the system prompt of every message (paper's observed per-skill range: 50–280t).

Description honesty

Reads as a statement of purpose, not defensive trigger padding.

Body size

Largest body is 485 words (~1,014t), loaded on every trigger. Corpus median 921, p90 2207.

Progressive disclosure

Body routes to 2 reference file(s); 5 auxiliary .md files are fetched at point of use instead of riding in the body.

Factoring

Scoped to a coherent procedure set.

CLI leverage

Some CLI usage; more verification could move from prose into commands.

A overall (3.95/4). 1 skill(s), 48t resident on every message (light), 1,014t loaded per activation. Weakest axis: cli leverage (B).

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Markdown

[![Skill Grader: A](https://seoagent.com/skill-grader/badge/WJZ-P/gemini-skill.svg)](https://seoagent.com/skill-grader/WJZ-P/gemini-skill)

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<a href="https://seoagent.com/skill-grader/WJZ-P/gemini-skill"><img src="https://seoagent.com/skill-grader/badge/WJZ-P/gemini-skill.svg" alt="Skill Grader: A" height="20"></a>

How this was graded

Six deterministic axes from “@skills: Attention Is All You Have” (Yin et al., 2026) and the open seo-skill-bench footprint scorer: resident footprint, description honesty, body size, progressive disclosure, factoring, and CLI leverage. Tokens are approximated as chars/4. No LLM, no signup, same result every run. Read the full methodology.