CtrlK
BlogDocsLog inGet started
Tessl Logo

testing-data-visualizations

Test data visualizations and dashboards. Use when the user needs chart or diagram test strategy, screenshot or image diff testing, visual regression, mocked or synthetic chart data, component or unit tests, E2E dashboard QA, interactive UML-like diagram verification, scroll-driven story verification, export verification, or guidance on avoiding brittle over-testing.

75

Quality

92%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide

SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

85%Weight 40%Scale 1-3

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

The body is a well-structured, actionable decision framework with a clear sequenced workflow and a properly disclosed one-level-deep reference bundle. Its main weakness is conciseness: dense enumerations and some cross-sectional repetition make it longer than the lean ideal.

Suggestions

Tighten the long enumerations in "Identify the highest-risk failures" and "Make rendering deterministic before asserting" by grouping related bullets and trimming near-duplicates, since the layered-testing philosophy is already restated in Coverage Heuristics and Output Expectations.

Consolidate the repeated unit/component/visual/E2E layer guidance so it appears authoritatively once (e.g. in Coverage Heuristics) and is referenced elsewhere, reducing cross-sectional repetition.

Verify the ../../references/foundations, ../../assets/templates, and adjacent-skill SKILL.md paths resolve in the deployed bundle, or move them behind the local ./references/ group so all surfaced links are reachable from the skill root.

DimensionReasoningScore

Conciseness

The body avoids concept-padding Claude already knows, but at ~145 lines with multiple 20+ item bullet lists (e.g. the "highest-risk failures" and "Make rendering deterministic" enumerations) and restated layered-testing philosophy across Working Pattern, Coverage Heuristics, and Output Expectations, it could be tightened despite being accurate.

2 / 3

Actionability

For an instruction-only strategy skill the guidance is concrete and specific — "unit tests for pure data shaping and formatting logic", "fixed viewport and container size", "reduced or disabled animation", "mocked network responses" — and points to executable templates like the playwright visual-regression starter, satisfying actionable guidance without requiring inline code.

3 / 3

Workflow Clarity

The Working Pattern is a clearly sequenced six-step process (identify risks → choose layer → make deterministic → mock at boundary → define non-goals → include degraded modes) with explicit checkpoints such as "explicit render-ready signals before capture" and supporting checklists in Coverage Heuristics and Output Expectations.

3 / 3

Progressive Disclosure

The overview points to a well-organized References section whose local ./references/ files (test-level-selection, unit-and-component-tests, visual-regression-and-image-testing, data-mocking-and-fixtures, e2e-dashboard-and-export-strategies, avoiding-brittle-over-testing) are real, one level deep, and clearly signaled into themed groups.

3 / 3

Total

11

/

12

Passed

Description

100%Weight 40%Scale 1-3

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 strong: it states concrete capabilities, includes an explicit "Use when" trigger with natural user keywords, and carves out a distinct visualization-testing niche. Voice is third person with no over-claims.

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions such as "screenshot or image diff testing", "visual regression", "mocked or synthetic chart data", "component or unit tests", and "E2E dashboard QA", matching the anchor that enumerates several concrete actions rather than naming only a domain.

3 / 3

Completeness

Explicitly answers both what ("Test data visualizations and dashboards") and when ("Use when the user needs chart or diagram test strategy..."), with an explicit "Use when" trigger clause present.

3 / 3

Trigger Term Quality

Covers natural terms users would say — "chart or diagram test strategy", "screenshot or image diff testing", "visual regression", "component or unit tests", "E2E dashboard QA" — with good breadth of variations rather than technical jargon alone.

3 / 3

Distinctiveness Conflict Risk

Framing is consistently visualization/dashboard-specific ("chart or diagram", "dashboard QA", "UML-like diagram", "scroll-driven story"), giving it a clear niche with distinct triggers unlikely to conflict with adjacent 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
openai/plugins
Reviewed

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.