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A

bzd6661/wechat-article-for-ai

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Graded A on context cost and craft. 30 tokens of this skill ride in the system prompt of every message, whether or not it fires.

Ranked #11 of 43 on the leaderboard →

Score
3.70 / 4
Resident
30 tokens
Footprint
light
Per activation
618 tokens
Share this grade on X ↗Re-grade now →View on GitHub ↗Grade another skillLast graded Sep 30, 2026 from HEAD

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Skill Grader: A
Markdown
[![Skill Grader: A](https://seoagent.com/skill-grader/badge/bzd6661/wechat-article-for-ai.svg)](https://seoagent.com/skill-grader/bzd6661/wechat-article-for-ai)
HTML
<a href="https://seoagent.com/skill-grader/bzd6661/wechat-article-for-ai"><img src="https://seoagent.com/skill-grader/badge/bzd6661/wechat-article-for-ai.svg" alt="Skill Grader: A" height="20"></a>

Report card

A
A overall · 3.70/4
github.com/bzd6661/wechat-article-for-ai@HEAD · 1 skill · 30t resident (light) · 618t per activation · 2,290t bundle
A
Resident footprint
30t of description text ride in the system prompt of every message (paper's observed per-skill range: 50–280t).
A
Description honesty
Reads as a statement of purpose, not defensive trigger padding.
A
Body size
Largest body is 347 words (~618t), loaded on every trigger. Corpus median 921, p90 2207.
C
Progressive disclosure
1 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.
A
CLI leverage
Drives a CLI (`pip`, 1 invocations + 3 shell blocks) — verification and state live in code, not prompt.
A overall (3.70/4). 1 skill(s), 30t resident on every message (light), 618t loaded per activation. Weakest axis: progressive disclosure (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.