Content
90%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.
A concise, highly actionable deployment runbook with a clear sequenced workflow and validation step. The only real gap is the broken external reference link and the absence of an explicit error-recovery loop after validation.
Suggestions
Fix or remove the dead reference link to ../../docs/deployment/llama_cpp.md (file does not exist), or create that doc so the one-level-deep reference resolves.
Add a brief feedback loop after the Validate step (e.g. "If the reply is not '2', recheck NGL/CTX and the model path, then re-run") to lift workflow_clarity to 5.
Optionally split the 'Building your own GGUF (advanced)' section into a referenced file if the skill grows, to keep the main body as a pure overview.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean runbook of tables and terse code blocks with no padding or explanation of concepts Claude already knows (e.g. no "what is llama.cpp"); every section earns its tokens, matching the 5-anchor. | 5 / 5 |
Actionability | Copy-paste-ready commands cover install (macOS/prebuilt/source), download, CLI chat, HTTP server, validation curl, and custom GGUF build — fully executable across the common cases, matching the 5-anchor. | 5 / 5 |
Workflow Clarity | Clear numbered sequence (1 install → 2 download → 3a/3b run → 4 validate) with an explicit validation checkpoint ("Expected: \"2\" in the reply"), but no error-recovery feedback loop, so it sits at the 4-anchor rather than 5; the destructive/batch cap does not apply since this is a non-destructive run skill. | 4 / 5 |
Progressive Disclosure | Well-organized sections with appropriately inlined runbook content and a signaled cross-skill LoRA pointer, but the single external reference "docs/deployment/llama_cpp.md" is a dead link (file not present), a minor navigation gap that keeps it below 5. | 4 / 5 |
Total | 18 / 20 Passed |