Content
96%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is a tight, fully executable deployment runbook with a clear sequenced workflow and an explicit validation checkpoint. Its only weakness is progressive disclosure: it leans slightly past the simple-skill threshold and points to an external doc that is not present in the bundle.
Suggestions
Either remove the external Reference link to docs/deployment/ollama.md (not present in the bundle) or add that file so the reference resolves and navigation is trustworthy.
If the skill stays single-purpose, trim toward the ~50-line simple-skill range or move the think-mode/raw-mode detail into a bundled reference file to strengthen progressive disclosure.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean: it never explains what Ollama, GGUF, or quantization are, jumps straight to a compact input table and executable bash, and every section (input, steps, think mode, pitfalls, when-not-to-use) earns its place. | 5 / 5 |
Actionability | All guidance is copy-paste executable — install commands, huggingface-cli download, a complete Modelfile, ollama create/run, an OpenAI-compatible validation curl, and a raw-mode think example — covering the common cases with real URLs and values. | 5 / 5 |
Workflow Clarity | A clearly numbered install→download+Modelfile→create+run→validate sequence includes an explicit validation checkpoint with expected output ('"2"') and a pitfalls section with error-recovery guidance, matching the 5 anchor. | 5 / 5 |
Progressive Disclosure | Content is well-organized into clearly headed, single-purpose sections with no nested or buried references, but it slightly exceeds the simple-skill line count and its one external reference (docs/deployment/ollama.md) is not present in the bundle, a minor organization gap below the 5 anchor. | 4 / 5 |
Total | 19 / 20 Passed |