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huggingface-gradio

Build Gradio web UIs and demos in Python. Use when creating or editing Gradio apps, components, event listeners, layouts, or chatbots.

68

Quality

82%

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SKILL.md
Quality
Evals
Security

Quality

Content

65%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 skill is highly actionable with several complete executable examples, but it is padded with large inline API-signature and event-listener dumps, lacks a sequenced build-and-verify workflow, and carries a dead examples.md reference. These keep conciseness, workflow clarity, and progressive disclosure at the mid level.

Suggestions

Move the full component constructor signatures and per-component event-listener lists into a separate reference file (e.g. references/components.md) and keep only the most-used parameters inline, to reduce repeated boilerplate and improve both conciseness and progressive disclosure.

Fix or remove the dead [End-to-End Examples](examples.md) link — the file does not exist in the bundle — or create examples.md so the reference resolves.

Add a brief sequenced workflow for building a Gradio app (choose Interface vs Blocks vs ChatInterface → wire event listeners → launch → verify the app loads in the browser) with an explicit validation checkpoint to raise workflow clarity.

DimensionReasoningScore

Conciseness

The Core Patterns examples are lean, but roughly 180 lines are inline full constructor signatures for 13 components plus a per-component event-listener dump, much of it repeated boilerplate parameters (every, inputs, show_label, container, scale, min_width, ...) — accurate but verbose and tightenable, so it sits at the 'mostly efficient but could be tightened' anchor rather than the lean 3 or the concept-explaining 1.

2 / 3

Actionability

Multiple complete, copy-paste-ready examples (Interface, Blocks, ChatInterface, and a full StarRating custom-HTML class) plus concrete component and event-listener signatures provide fully executable guidance, matching the copy-paste-ready anchor.

3 / 3

Workflow Clarity

The content is organized into clear sections and shows the three app approaches, but there is no sequenced multi-step workflow with validation checkpoints (e.g., choose pattern → wire events → launch → verify), and this is not a <50-line simple skill so the simple-skill exception does not apply; it lands at the 'sequence present but checkpoints missing' anchor rather than the checkpointed 3.

2 / 3

Progressive Disclosure

Sections and an external Guides list provide structure, but the bulk API reference is inline rather than split into a separate file, and the "Additional Reference" links to examples.md which does not exist in the bundle — a dead reference — so it matches the 'structure present but content that should be separate is inline' anchor rather than the well-split, one-level-deep 3.

2 / 3

Total

9

/

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 concise, specific, and uses third-person/imperative voice with an explicit 'Use when' trigger clause covering natural user terms. It cleanly answers both what the skill does and when to use it with low conflict risk.

DimensionReasoningScore

Specificity

"Build Gradio web UIs and demos" and "creating or editing Gradio apps, components, event listeners, layouts, or chatbots" list multiple concrete actions, matching the anchor for listing several specific concrete actions rather than the vague single-action anchor at 2.

3 / 3

Completeness

It states what ("Build Gradio web UIs and demos in Python") and gives an explicit "Use when..." clause naming triggers, matching the anchor for clearly answering both what and when with explicit triggers; not the 2 anchor where 'when' is only implied.

3 / 3

Trigger Term Quality

Natural user-facing terms are well covered — "Gradio", "Gradio apps", "demos", "web UIs", "chatbots", "event listeners", "layouts", "components" — which are exactly what a user would say, matching the good-coverage anchor rather than the partial-coverage anchor at 2.

3 / 3

Distinctiveness Conflict Risk

The niche is distinctly Gradio and all triggers are Gradio-scoped, making it unlikely to fire for unrelated skills; this matches the clear-niche anchor rather than the somewhat-generic overlap anchor at 2.

3 / 3

Total

12

/

12

Passed

Validation

93%

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

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

relative_links

Relative link issues: 1 missing

Warning

Total

15

/

16

Passed

Repository
openai/plugins
Reviewed

Table of Contents

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