WellApp-ai/Well

Coding workflow
Debugging & testing

Graded C on context cost and craft. 1,110 tokens of this skill ride in the system prompt of every message, whether or not it fires.

Ranked #89 of 90 on the leaderboard →

Score: 1.55 / 4
Resident: 1,110 tokens
Footprint: heavy
Per activation: 3,917 tokens

Share this grade on X ↗Re-grade now →View on GitHub ↗Grade another skillLast graded Oct 12, 2026 from HEAD

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Markdown

[![Skill Grader: C](https://seoagent.com/skill-grader/badge/WellApp-ai/Well.svg)](https://seoagent.com/skill-grader/WellApp-ai/Well)

HTML

<a href="https://seoagent.com/skill-grader/WellApp-ai/Well"><img src="https://seoagent.com/skill-grader/badge/WellApp-ai/Well.svg" alt="Skill Grader: C" height="20"></a>

Report card

C overall · 1.55/4

github.com/WellApp-ai/Well@HEAD · 37 skills · 1,110t resident (heavy) · 3,917t per activation · 38,384t bundle

Resident footprint

1,110t of description text ride in the system prompt of every message across 37 skills (paper's observed per-skill range: 50–280t).

Description honesty

Defensive padding detected: 49 comma-separated trigger keywords; 602 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 2,433 words (~3,917t), loaded on every trigger. Corpus median 921, p90 2207.

Progressive disclosure

Everything is inlined into a 2,433-word body with no reference layer to disclose progressively.

Factoring

Scoped to a coherent procedure set.

CLI leverage

Drives a CLI (`npm`, 13 invocations + 28 shell blocks) — verification and state live in code, not prompt.

C overall (1.55/4). 37 skill(s), 1,110t resident on every message (heavy), 3,917t 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.