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jupyter-notebooks

Create, edit, or validate reproducible SQL or Python notebooks. Use for notebooks, SQL/Python scratchpads, reproducible exploration, audit trails, or runnable companions where the analysis should be reviewable or rerunnable.

75

Quality

92%

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SecuritybySnyk

Passed

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SKILL.md
Quality
Evals
Security

Quality

Content

85%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The content is a well-structured, actionable procedural skill with a clear sequenced workflow, explicit validation checkpoints, and concrete commands. Its main weakness is redundancy between the Workflow and Standards sections, which inflates the body without adding new guidance.

Suggestions

Consolidate the repeated validation/reasonableness guidance: it appears in Workflow step 7, the Analysis Quality standards, and the Validation Checklist — keep the checklist and one canonical statement, prune the rest.

Trim overlapping Standards bullets that restate Workflow instructions (e.g., 'Keep parameters… visible near the top' restates step 5's source-recording guidance) to reduce token cost.

The 'Notebook Structure' standards repeat the section templates already given in Workflow step 3; reference step 3 instead of re-listing the section order.

DimensionReasoningScore

Conciseness

The body is mostly efficient and avoids explaining concepts Claude already knows, but the Standards subsections restate guidance already in the Workflow (validation, reasonableness checks, and tying takeaways to outputs each appear in Workflow step 7, Analysis Quality, and the Validation Checklist), so it could be tightened.

2 / 3

Actionability

It gives concrete, copy-paste-ready commands (the nbconvert --execute line and the uv pip install line), named tooling (nbformat, nbclient, ~~structured_data), and explicit section templates, matching the fully-executable-guidance anchor.

3 / 3

Workflow Clarity

The 8-step workflow is clearly sequenced with an explicit validation step (step 8: execute and record status), reasonableness-check feedback loops, and a terminal Validation Checklist, satisfying the clear-sequence-with-explicit-validation anchor.

3 / 3

Progressive Disclosure

It is a single self-contained SKILL.md with no bundle files and no nested references, organized into clearly headed sections (Workflow, Standards, Validation Checklist), which earns the top anchor for a well-organized single-file skill with no need for external references.

3 / 3

Total

11

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12

Passed

Description

100%

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

The description is concise, third-person, and hits all four anchors at the top level: concrete actions, natural trigger terms, an explicit "Use for…" when clause, and a distinct notebook niche. It is a strong, low-conflict trigger description with no padding.

DimensionReasoningScore

Specificity

"Create, edit, or validate reproducible SQL or Python notebooks" lists multiple concrete, distinct actions, matching the anchor for listing several specific concrete actions rather than a vague single verb.

3 / 3

Completeness

It states both what the skill does ("Create, edit, or validate reproducible SQL or Python notebooks") and an explicit when clause ("Use for notebooks, SQL/Python scratchpads…"), satisfying both halves of the completeness anchor.

3 / 3

Trigger Term Quality

"notebooks, SQL/Python scratchpads, reproducible exploration, audit trails, or runnable companions" gives good coverage of natural terms a user would actually say, with common variations rather than only technical jargon.

3 / 3

Distinctiveness Conflict Risk

The notebook-specific niche and concrete triggers (notebooks, scratchpads, audit trails, runnable companions) make it unlikely to fire for unrelated skills, matching the clear-niche anchor.

3 / 3

Total

12

/

12

Passed

Validation

100%

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

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
XiaomiMiMo/MiMo-Code
Reviewed

Table of Contents

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