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minicpm5-deploy-ollama

Run MiniCPM5-1B or MiniCPM5-2B via Ollama on macOS / Linux laptop using the released GGUF. Use when the user wants "ollama run", "ollama pull", a Modelfile-driven setup, or one-line laptop deployment.

69

Quality

87%

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SKILL.md
Quality
Evals
Security

Quality

Content

82%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 tight, highly actionable deployment recipe with executable code and a clear validated workflow. The main improvement areas are adding an explicit validation-failure feedback loop and quarantining the version-specific caveat.

Suggestions

Add an explicit feedback loop after step 4's validation (e.g. "If the reply is not \"2\", re-run `ollama create` and check the Modelfile") to push workflow_clarity to 5.

Move the "Ollama 0.24 does not directly evaluate the GGUF-embedded Jinja chat template" caveat into a clearly labeled version/compatibility note so time-sensitive detail does not dilute conciseness.

Consider extracting the think-vs-no-think sampling details into a short referenced file (e.g. references/think-mode.md) so the main flow stays focused on the core deploy path.

DimensionReasoningScore

Conciseness

Mostly lean with tables, code blocks, and no basic-concept padding; the version-specific "Ollama 0.24…" caveat is time-sensitive and not placed in a deprecated section, which costs it the top mark.

4 / 5

Actionability

Fully executable, copy-paste-ready bash commands cover install, GGUF download, a complete Modelfile with chat template, create/run, and an OpenAI-compatible curl validation, matching the top anchor.

5 / 5

Workflow Clarity

A clear numbered four-step sequence with a validation checkpoint and a pitfalls section; falls just short of 5 because the validation step lacks an explicit "if the reply is not 2, then…" feedback loop.

4 / 5

Progressive Disclosure

Well-organized sections with a single clearly-signaled one-level reference (docs/deployment/ollama.md) and no bundle nesting; not a 5 only because most detail is inline rather than split into dedicated reference files.

4 / 5

Total

17

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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, specific description with an explicit Use-when clause and natural trigger terms tied to a well-scoped niche. The only weakness is slightly less than comprehensive keyword/action coverage.

DimensionReasoningScore

Specificity

Names the domain and several concrete actions ("Run MiniCPM5-1B or MiniCPM5-2B via Ollama", "using the released GGUF", plus Modelfile/one-line deployment), with only minor coverage gaps; not a 5 because it does not enumerate the full range of sub-actions.

4 / 5

Completeness

Explicitly answers both what (deploy MiniCPM5 via Ollama on a laptop using the released GGUF) and when ("Use when the user wants…") with concrete trigger phrases, matching the top anchor.

5 / 5

Trigger Term Quality

Includes natural phrases users actually say ("ollama run", "ollama pull", "Modelfile-driven setup", "one-line laptop deployment"); a few synonyms (e.g. "local LLM", "GGUF") are missing, keeping it just below comprehensive.

4 / 5

Distinctiveness Conflict Risk

The combination of a specific model family, a specific tool (Ollama), and a specific platform (macOS/Linux laptop) carves a clear niche with minimal overlap risk against sibling deploy skills.

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.

Validation — 15 / 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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