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Scaffolds a properly structured agent skill GitHub repo. Walks through creating all required files: SKILL.md, README.md, AGENTS.md, CONTEXT.md, LICENSE, examples/, and references/.
Passed 17 of 21 test cases with the skill, and 9 of 21 without it.
and 11 more in the full report
9 fixed9 passed either way4 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 9 test cases the skill fixed. Same model, same prompt, with and without the skill.
At what point in the scaffold workflow should the target project directory and subfolders be created on disk via terminal commands?
| Checked | Without skill | With skill |
|---|---|---|
| Executes mkdir immediately after gathering initial requirements from the user | Missed | Passed |
The instructions your model reads when the skill loads.
Creates a well-structured skill GitHub repo following the Agent Skills protocol, compatible with Claude Code, Codex, Cursor, OpenCode, and 50+ runtimes.
Uses nuwa-skill as the exemplar reference.
Ask the user 3-4 quick questions:
my-framework-lint)*.mfconfig)Create the directory immediately after gathering, so all generated files land inside it.
mkdir -p <skill-name>/{references,templates,examples}
Write <skill-name>/SKILL.md.
---
name: <kebab-case-skill-name>
description: >
<One-sentence capability statement>.
Use when <specific trigger list>.
---
Rules:
name must match the directory name exactlytest cases passed, vs 9 / 21 without
Published skills whose descriptions closely match this one, with their headline benchmark lift.
More skills from the same source and nearby in the registry, with their headline benchmark lift.