mohitagw15856/pm-claude-skills

Writing
Data & research

Graded C on context cost and craft. 4,393 tokens of this skill ride in the system prompt of every message, whether or not it fires.

Ranked #265 of 276 on the leaderboard →

Score: 1.55 / 4
Resident: 4,393 tokens
Footprint: heavy
Per activation: 4,138 tokens

Share this grade on X ↗Re-grade now →View on GitHub ↗Grade another skillLast graded Nov 7, 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/mohitagw15856/pm-claude-skills.svg)](https://seoagent.com/skill-grader/mohitagw15856/pm-claude-skills)

HTML

<a href="https://seoagent.com/skill-grader/mohitagw15856/pm-claude-skills"><img src="https://seoagent.com/skill-grader/badge/mohitagw15856/pm-claude-skills.svg" alt="Skill Grader: C" height="20"></a>

Report card

C overall · 1.55/4

github.com/mohitagw15856/pm-claude-skills@HEAD · 40 skills · 4,393t resident (heavy) · 4,138t per activation · 86,624t bundle

Resident footprint

4,393t 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: 220 comma-separated trigger keywords; 2426 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 2,514 words (~4,138t), loaded on every trigger. Corpus median 921, p90 2207.

Progressive disclosure

Everything is inlined into a 2,514-word body with no reference layer to disclose progressively.

Factoring

Scoped to a coherent procedure set.

CLI leverage

Drives a CLI (`git`, 3 invocations + 4 shell blocks) — verification and state live in code, not prompt.

C overall (1.55/4). 40 skill(s), 4,393t resident on every message (heavy), 4,138t 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.