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minicpm5-deploy-llama-cpp

Run MiniCPM5-1B with llama.cpp using the released GGUF artifacts (F16 / Q8_0 / Q4_K_M). Use when the user wants CPU-only / consumer-GPU / cross-platform native deployment, asks for "llama.cpp", "llama-cli", "llama-server", "GGUF", or has no Python available.

72

Quality

88%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

90%Weight 40%Scale 1-5

Reviews 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.

DimensionReasoningScore

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

Description

87%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong, concrete description that clearly states both the capability and explicit natural-language triggers, tightly scoped to a distinct niche. Minor room to add common synonyms for a perfect trigger-term spread.

DimensionReasoningScore

Specificity

Quotes "Run MiniCPM5-1B with llama.cpp using the released GGUF artifacts (F16 / Q8_0 / Q4_K_M)" — one concrete action populated with specific model/runtime/quant details; above the 3-anchor (1-2 concrete actions) but not the 5-anchor's multiple distinct actions.

4 / 5

Completeness

Explicitly answers both: what ("Run MiniCPM5-1B with llama.cpp using the released GGUF artifacts") and when ("Use when the user wants CPU-only / consumer-GPU / cross-platform native deployment, asks for...") with concrete trigger phrases, matching the 5-anchor.

5 / 5

Trigger Term Quality

Quotes natural triggers "llama.cpp", "llama-cli", "llama-server", "GGUF", plus "CPU-only / consumer-GPU / cross-platform native deployment" and "no Python available" — good coverage with a few common synonyms (e.g. "local LLM", "run locally") missing, so not a 5.

4 / 5

Distinctiveness Conflict Risk

Niche is narrowly scoped to MiniCPM5-1B + llama.cpp GGUF deployment with distinct, specific triggers — minimal overlap risk with sibling deploy skills, matching the 5-anchor.

5 / 5

Total

18

/

20

Passed

Validation

93%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

relative_links

Relative link issues: 1 suspicious

Warning

Total

15

/

16

Passed

Repository
OpenBMB/MiniCPM
Reviewed

Table of Contents

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