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practice-registry

Use when generating, editing, or reviewing Scala, Python, TypeScript, JavaScript, or Rust code so company-specific practices are checked before planning, after edits, and before final handoff.

72

Quality

88%

Does it follow best practices?

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SecuritybySnyk

Passed

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SKILL.md
Quality
Evals
Security

Quality

Content

92%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 compact, highly actionable workflow that sequences Practice Registry MCP calls with explicit validation gates and a feedback loop. The only minor gap is the absence of a concrete worked invocation example for the named tools.

DimensionReasoningScore

Conciseness

Lean and token-efficient: every numbered line is an actionable rule with no padding or re-explanation of concepts Claude already knows, and the closing line adds a tight feedback-loop note.

5 / 5

Actionability

Names exact MCP tools and their required arguments (e.g. 'check_plan with the intent, files, language, framework, dependencies, and planned approach') plus concrete decision rules, but lacks a worked example showing an actual invocation and its result.

4 / 5

Workflow Clarity

A clearly numbered preflight -> check_plan -> scan_diff -> finalize_change sequence with explicit gates ('Treat banned findings as blockers', 'Change the code before finishing') and a fix-and-rerun feedback loop for hooks/CI findings.

5 / 5

Progressive Disclosure

A single self-contained file under 50 lines with no external references needed; the numbered list and orienting intro are well-organized, satisfying the simple-skill exception.

5 / 5

Total

19

/

20

Passed

Description

83%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, third-person description with an explicit 'Use when' trigger, concrete actions, and three clear checkpoints. It is well-scoped to specific languages, with only minor gaps in trigger synonyms and slight overlap risk with general code-review skills.

DimensionReasoningScore

Specificity

Names concrete actions ('generating, editing, or reviewing' code) and three explicit practice-check checkpoints ('before planning, after edits, and before final handoff'), but does not enumerate what the checking produces or which practice categories are covered.

4 / 5

Completeness

Explicitly answers both 'when' ('Use when generating, editing, or reviewing ... code') and 'what' ('company-specific practices are checked before planning, after edits, and before final handoff') with concrete trigger phrases.

5 / 5

Trigger Term Quality

Good natural keyword coverage across five named languages plus 'company-specific practices', but misses common synonyms (e.g. 'coding standards', 'linting') and file extensions users might say.

4 / 5

Distinctiveness Conflict Risk

Scoped to five specific languages and a company-practice MCP niche, giving mostly distinct triggers, with minor overlap risk against general code-review or linting skills.

4 / 5

Total

17

/

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.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
writer/cerebro
Reviewed

Table of Contents

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