render-deploy

Deploy applications to Render by analyzing codebases, generating render.yaml Blueprints, and providing Dashboard deeplinks. Use when the user wants to deploy, host, publish, or set up their application on Render's cloud platform.

1.09x

Quality

92%

Does it follow best practices?

Impact

100%

1.09x

Average score across 3 eval scenarios

Securityby

Advisory

Suggest reviewing before use

Quality

Content

85%

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

A well-structured, highly actionable deploy skill with clear sequenced workflows, validation checkpoints, and a sound one-level reference structure. Its main weakness is conciseness: repeated prerequisite guidance and the inline multi-tool MCP setup could be moved to a reference file.

Suggestions

Extract the Cursor/Claude Code/Codex MCP setup blocks into a reference file (e.g., references/mcp-setup.md) and summarize them inline, reducing token cost and removing the duplication.

Consolidate the Git-remote prerequisite guidance, which is restated in the intro, 'Choose Your Source Path,' 'Prerequisites Check,' and Method 2 prerequisites, into a single authoritative check.

Remove the 'When to Use This Skill' section or merge it with the frontmatter description, since it largely restates the description's trigger terms.

Dimension	Reasoning	Score
Conciseness	Mostly efficient with executable commands and decision tables, but it repeats prerequisite/Git-remote guidance in several sections and inlines the full multi-tool MCP setup (Cursor/Claude Code/Codex) instead of referencing it out — content that could be tightened.	2 / 3
Actionability	Provides fully executable, copy-paste-ready guidance: exact bash commands, an SSH-to-HTTPS conversion table, a deeplink URL template, MCP tool calls with parameters, and a ready-to-use render.yaml snippet.	3 / 3
Workflow Clarity	Sequenced multi-step workflows (Blueprint steps 1-7, Direct Creation steps 1-4) with explicit validation checkpoints (render whoami, render blueprints validate, live-status check) and feedback loops ('fix and re-validate', 'stop and guide the user') for risky operations.	3 / 3
Progressive Disclosure	The body is an overview pointing to ten real, one-level-deep reference files and template assets, each clearly signaled and labeled for purpose (e.g., 'Complete specification: references/blueprint-spec.md'); all referenced paths were verified to exist.	3 / 3
	Total	11 / 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 fully complete: it states multiple concrete actions and gives an explicit 'Use when' trigger clause scoped to Render. It does not over-claim or pad.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete actions — 'analyzing codebases,' 'generating render.yaml Blueprints,' and 'providing Dashboard deeplinks' — matching the level-3 anchor for naming several specific actions rather than only some.	3 / 3
Completeness	Explicitly answers both what ('Deploy applications to Render by analyzing codebases, generating render.yaml Blueprints, and providing Dashboard deeplinks') and when ('Use when the user wants to deploy, host, publish, or set up...'), the level-3 anchor.	3 / 3
Trigger Term Quality	Uses natural user-facing terms — 'deploy,' 'host,' 'publish,' 'set up their application on Render' — that a user would plausibly say, with good variation rather than jargon-only wording.	3 / 3
Distinctiveness Conflict Risk	Scoped to a clear niche ('on Render's cloud platform') with distinct triggers, making it unlikely to fire for unrelated skills.	3 / 3
	Total	12 / 12 Passed

Validation

100%

Warnings & errors only

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: openai/skills
Commit: 49f948f

Reviewed: 19 days ago

Table of Contents

Discovery Implementation Validation

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