Skill Grader / report card

vargasjr-dev/mycadet-temp

Graded C on context cost and craft. 1,582 tokens of this skill ride in the system prompt of every message, whether or not it fires.

Ranked #189 of 218 on the leaderboard →

Score: 1.80 / 4
Resident: 1,582 tokens
Footprint: heavy
Per activation: 8,834 tokens

Share this grade on X ↗Re-grade now →View on GitHub ↗Grade another skillLast graded Oct 26, 2026 from HEAD

Add the badge to your README

It shows the current letter grade and links back to this page. Improve the skill, hit Re-grade now, and the badge follows — GitHub may keep the old image for up to an hour.

Markdown

[![Skill Grader: C](https://seoagent.com/skill-grader/badge/vargasjr-dev/mycadet-temp.svg)](https://seoagent.com/skill-grader/vargasjr-dev/mycadet-temp)

HTML

<a href="https://seoagent.com/skill-grader/vargasjr-dev/mycadet-temp"><img src="https://seoagent.com/skill-grader/badge/vargasjr-dev/mycadet-temp.svg" alt="Skill Grader: C" height="20"></a>

Report card

C overall · 1.80/4

github.com/vargasjr-dev/mycadet-temp@HEAD · 40 skills · 1,582t resident (heavy) · 8,834t per activation · 176,602t bundle

Resident footprint

1,582t of description text ride in the system prompt of every message across 40 skills (paper's observed per-skill range: 50–280t).

Description honesty

Defensive padding detected: 115 comma-separated trigger keywords; 871 words (a quiet description is ~15–40). Padding is individually rational and collectively ruinous — it dilutes every co-installed skill.

Body size

Largest body is 5,393 words (~8,834t), loaded on every trigger. Corpus median 921, p90 2207.

Progressive disclosure

Body routes to 29 reference file(s); 65 auxiliary .md files are fetched at point of use instead of riding in the body.

Factoring

Scoped to a coherent procedure set.

CLI leverage

Drives a CLI (`assistant`, 145 invocations + 88 shell blocks) — verification and state live in code, not prompt.

C overall (1.80/4). 40 skill(s), 1,582t resident on every message (heavy), 8,834t loaded per activation. Weakest axis: resident footprint (F).

Six deterministic axes, no LLM, same result every run. Tokens are approximated as chars/4. Read the methodology, or see how SEO skills score on task outcomes in the open SEO skill benchmark.