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chatgpt-app-submission

Inspect a ChatGPT Apps MCP server codebase and generate chatgpt-app-submission.json with app info suggestions, tool hint justifications, test cases, and negative test cases, then report review-check findings and outputSchema warnings for submission review.

68

Quality

81%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

88%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.

The body is highly actionable and workflow-clear, with a concrete output contract and strong validation/feedback loops. The main improvement is consolidating the repeated approval-before-edit pattern and considering whether the large output-contract example belongs inline.

Suggestions

Consolidate the repeated 'ask the developer for approval before editing source' guidance into one stated policy referenced from Hint Rules and Tool Descriptor/CSP Rules to reduce redundancy.

Consider extracting the full JSON output-contract example into a references file (e.g. references/submission-template.json) referenced from SKILL.md to improve progressive disclosure at this length.

DimensionReasoningScore

Conciseness

The body is efficient and assumes Claude's competence without explaining basic concepts, but the 'ask for approval before editing source' pattern is restated across Hint Rules and Tool Descriptor/CSP Rules, which could be consolidated.

4 / 5

Actionability

Provides a complete, copy-paste-ready JSON output contract plus exact concrete rules (5 positive / 3 negative test cases, the full category enum, explicit hint semantics, CSP flags), giving fully actionable guidance for an instruction-only skill.

5 / 5

Workflow Clarity

An 8-step sequenced workflow with explicit validation (compare annotations against actual behavior) and a clear feedback loop (stop, ask approval, edit-and-regenerate or block) for mismatched hints and source ambiguity.

5 / 5

Progressive Disclosure

Well-organized into clearly headed sections and self-contained with no nested references, but at 156 lines all content is inline with no external reference structure, so it sits just below the cleanly-split ideal.

4 / 5

Total

18

/

20

Passed

Description

75%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.

The description is specific and clearly distinct, but it omits an explicit 'Use when' trigger clause, which caps completeness. Adding natural user-voiced trigger phrasing would raise both completeness and trigger-term quality.

Suggestions

Append an explicit trigger clause such as 'Use when a developer needs to prepare or submit a ChatGPT Apps MCP server for review' to satisfy the missing 'when' guidance.

Add a few natural synonyms a developer might say (e.g. 'ChatGPT app submission', 'app review JSON') alongside the technical terms to broaden trigger-term coverage.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'Inspect a ChatGPT Apps MCP server codebase and generate chatgpt-app-submission.json with app info suggestions, tool hint justifications, test cases, and negative test cases, then report review-check findings and outputSchema warnings' — covering the full deliverable set comprehensively.

5 / 5

Completeness

The 'what' is clear and detailed, but there is no 'Use when...' clause or equivalent explicit trigger guidance — the 'when' is only weakly implied by 'for submission review', which caps completeness at 3 per the rubric guideline.

3 / 5

Trigger Term Quality

Good keyword coverage including the concrete artifact name 'chatgpt-app-submission.json', 'ChatGPT Apps MCP server', 'tool hint justifications', and 'outputSchema warnings', but it lacks natural user-voiced synonyms a developer might actually say (e.g. 'submit a ChatGPT app').

4 / 5

Distinctiveness Conflict Risk

Targets a narrow, well-defined niche (ChatGPT Apps MCP submission) with a distinct artifact name, making it unlikely to trigger for unrelated skills.

5 / 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.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
openai/plugins
Reviewed

Table of Contents

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