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Analyzes changed files and improves test coverage using current frontend/backend quality guidelines and colocated project test patterns. Determines test scope (unit vs integration vs regression), adds or updates tests, and runs validation. Use when code changes need test coverage, after implementing a feature, after fixing a bug, or when test gaps are identified.

70

Quality

86%

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SKILL.md
Quality
Evals
Security

Quality

Content

72%

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

The body is lean and well-structured with concrete commands and a clear sequence, but the test-scope decision step and the validation feedback loop lack the explicit detail needed for a fully actionable, checkpoint-driven workflow.

Suggestions

Add concrete decision criteria for choosing unit vs integration vs regression scope (e.g., 'regression when fixing a bug in shared logic; unit for isolated pure functions') instead of leaving the choice abstract.

Turn step 4 into an explicit validation checkpoint with a fix→re-run loop: 'If lint/typecheck/test fail, fix and re-run before proceeding; only summarize once all pass.'

Make the Output Format's validation section capture the fix applied on failure, not just pass/fail, so remaining gaps are actionable.

DimensionReasoningScore

Conciseness

The body is lean and assumes Claude's competence — no explanations of what tests or linting are; every section (Usage, Source of Truth, Execution Flow, Output Format) earns its place.

3 / 3

Actionability

Provides concrete executable commands (git diff --name-only, npm run lint/typecheck/test, get_context.py) and specific spec paths, but step 2's scope decision ('unit vs integration vs regression, mock vs real filesystem flow') lacks concrete decision criteria — some guidance incomplete.

2 / 3

Workflow Clarity

Steps are clearly sequenced 1–5 and validation runs in step 4, but there is no explicit fix→re-validate checkpoint; the output format only records pass/fail without a remediation loop, leaving checkpoints implicit.

2 / 3

Progressive Disclosure

Well-organized into clearly labeled sections for a single-purpose skill with no nested external references and no monolithic wall of text; navigation is straightforward.

3 / 3

Total

10

/

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, specific, and complete, with concrete capabilities and explicit usage triggers. It is clearly distinguishable and avoids fluff or over-claims.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'Analyzes changed files and improves test coverage', 'Determines test scope (unit vs integration vs regression)', 'adds or updates tests', 'runs validation' — matching the 3-anchor pattern of several specific concrete actions.

3 / 3

Completeness

Explicitly answers both what (analyze, scope, add/update tests, validate) and when via an explicit 'Use when...' clause, matching the 3-anchor example.

3 / 3

Trigger Term Quality

Includes natural trigger phrasings a user would say — 'code changes need test coverage', 'after implementing a feature', 'after fixing a bug', 'when test gaps are identified' — giving good coverage of common variations.

3 / 3

Distinctiveness Conflict Risk

Targets a clear niche — test-coverage improvement guided by project quality specs and colocated test patterns — with distinct triggers unlikely to fire for unrelated skills.

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
zhukunpenglinyutong/desktop-cc-gui
Reviewed

Table of Contents

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