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v4-best-practices

Use when working with deepseek-v4-pro or deepseek-v4-flash in thinking mode on multi-step or plan-driven tasks. Provides rules to prevent stale references, unverified plan assumptions, and vague plan output.

71

Quality

86%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

86%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, well-structured skill body that delivers three concrete rules with failure-avoidance context and assumes Claude's competence throughout. Actionability and workflow clarity are strong with only minor gaps in feedback-loop explicitness and snippet executability.

DimensionReasoningScore

Conciseness

Lean body where every line earns its place; rules are stated without explaining what grep, sub-agents, or path:line references are, fully assuming Claude's competence.

5 / 5

Actionability

Concrete Good/Bad examples and named commands (grep_files, read_file, deepseek-v4-flash sub-agent) give executable guidance, but the sub-agent snippet is illustrative rather than copy-paste runnable and path:line sourcing is described abstractly.

4 / 5

Workflow Clarity

Three clearly sequenced rules each pair an action with a 'Failure avoided' checkpoint, and rule 2 adds a pre-execution verification gate; minor gap is the absence of an explicit validate-fix-retry feedback loop for the multi-file execution path.

4 / 5

Progressive Disclosure

Under 50 lines with no external references needed; content is organized into three well-signaled sections, matching the simple-skill exception for a top score with just well-organized sections.

5 / 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, specific description with clear what/when structure and a well-scoped trigger that minimizes conflict risk. It could list slightly more natural trigger synonyms, but is otherwise concise and complete.

DimensionReasoningScore

Specificity

Names the domain (V4 thinking-mode workflows) and several concrete actions—preventing stale references, unverified plan assumptions, and vague plan output—though these are constraints rather than a fully comprehensive action list.

4 / 5

Completeness

Explicitly answers both 'what' ('Provides rules to prevent stale references, unverified plan assumptions, and vague plan output') and 'when' ('Use when working with deepseek-v4-pro or deepseek-v4-flash in thinking mode on multi-step or plan-driven tasks') with concrete triggers.

5 / 5

Trigger Term Quality

'working with deepseek-v4-pro or deepseek-v4-flash in thinking mode on multi-step or plan-driven tasks' are natural triggers a user would say, though common synonyms like 'planning tasks' beyond 'plan-driven' are thin.

4 / 5

Distinctiveness Conflict Risk

Scoped narrowly to specific named models in thinking mode on plan-driven tasks, giving it a clear niche with minimal overlap risk against general coding skills.

5 / 5

Total

18

/

20

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
Hmbown/CodeWhale
Reviewed

Table of Contents

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