Parcha-ai/agentrun

Agents & automation
Coding workflow

Graded C on context cost and craft. 1,139 tokens of this skill ride in the system prompt of every message, whether or not it fires.

Ranked #216 of 293 on the leaderboard →

Score: 2.00 / 4
Resident: 1,139 tokens
Footprint: heavy
Per activation: 5,213 tokens

Share this grade on X ↗Re-grade now →View on GitHub ↗Grade another skillLast graded Nov 10, 2026 from HEAD

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Markdown

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

HTML

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

Report card

C overall · 2.00/4

github.com/Parcha-ai/agentrun@HEAD · 12 skills · 1,139t resident (heavy) · 5,213t per activation · 102,409t bundle

Resident footprint

1,139t of description text ride in the system prompt of every message across 12 skills (paper's observed per-skill range: 50–280t).

Description honesty

Defensive padding detected: 97 comma-separated trigger keywords; 751 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 3,445 words (~5,213t), loaded on every trigger. Corpus median 921, p90 2207.

Progressive disclosure

Body routes to 5 reference file(s); 18 auxiliary .md files are fetched at point of use instead of riding in the body.

Factoring

Scoped to a coherent procedure set.

CLI leverage

Drives a CLI (`agentrun`, 30 invocations + 26 shell blocks) — verification and state live in code, not prompt.

C overall (2.00/4). 12 skill(s), 1,139t resident on every message (heavy), 5,213t 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.