Skill Grader / report card

B

blogminhquy/javis-os

Graded B on context cost and craft. 202 tokens of this skill ride in the system prompt of every message, whether or not it fires.

Ranked #187 of 332 on the leaderboard →

Score
2.50 / 4
Resident
202 tokens
Footprint
light
Per activation
5,662 tokens
Share this grade on X ↗Re-grade now →View on GitHub ↗Grade another skillLast graded Nov 9, 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.

Skill Grader: B
Markdown
[![Skill Grader: B](https://seoagent.com/skill-grader/badge/blogminhquy/javis-os.svg)](https://seoagent.com/skill-grader/blogminhquy/javis-os)
HTML
<a href="https://seoagent.com/skill-grader/blogminhquy/javis-os"><img src="https://seoagent.com/skill-grader/badge/blogminhquy/javis-os.svg" alt="Skill Grader: B" height="20"></a>

Report card

B
B overall · 2.50/4
github.com/blogminhquy/javis-os@HEAD · 7 skills · 202t resident (light) · 5,662t per activation · 53,877t bundle
B
Resident footprint
202t of description text ride in the system prompt of every message across 7 skills (paper's observed per-skill range: 50–280t).
C
Description honesty
Defensive padding detected: 17 comma-separated trigger keywords; 144 words (a quiet description is ~15–40). Padding is individually rational and collectively ruinous — it dilutes every co-installed skill.
C
Body size
Largest body is 3,271 words (~5,662t), loaded on every trigger. Corpus median 921, p90 2207.
C
Progressive disclosure
14 auxiliary .md files ship but the body never points at them — the agent won't find them.
A
Factoring
Scoped to a coherent procedure set.
C
CLI leverage
Prompt-only. Every rule stated in prose pays attention rent; consider a companion CLI for deterministic steps.
B overall (2.50/4). 7 skill(s), 202t resident on every message (light), 5,662t loaded per activation. Weakest axis: description honesty (C).

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.