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lzwei196/KISS-Knowledge-Infrastructure-for-Scientific-Simulation

Graded B on context cost and craft. 123 tokens of this skill ride in the system prompt of every message, whether or not it fires.

Ranked #79 of 181 on the leaderboard →

Score: 3.10 / 4
Resident: 123 tokens
Footprint: light
Per activation: 14,340 tokens

Share this grade on X ↗Re-grade now →View on GitHub ↗Grade another skillLast graded Oct 24, 2026 from HEAD

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Report card

B overall · 3.10/4

github.com/lzwei196/KISS-Knowledge-Infrastructure-for-Scientific-Simulation@HEAD · 40 skills · 123t resident (light) · 14,340t per activation · 397,112t bundle

Resident footprint

123t of description text ride in the system prompt of every message across 40 skills (paper's observed per-skill range: 50–280t).

Description honesty

Reads as a statement of purpose, not defensive trigger padding.

Body size

Largest body is 8,111 words (~14,340t), loaded on every trigger. Corpus median 921, p90 2207.

Progressive disclosure

80 auxiliary .md files ship but the body never points at them — the agent won't find them.

Factoring

Scoped to a coherent procedure set.

CLI leverage

Drives a CLI (`no`, 20 invocations + 157 shell blocks) — verification and state live in code, not prompt.

B overall (3.10/4). 40 skill(s), 123t resident on every message (light), 14,340t loaded per activation. Weakest axis: body size (D).

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.