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render-mcp

Connects and configures the Render MCP server for AI coding tools—setup per tool (Cursor, Claude Code, Codex), authentication, workspace selection, tool catalog, and troubleshooting. Use when MCP is not configured, list_services() fails, the user asks about Render MCP setup, or an action skill needs MCP but it's not connected yet. Trigger terms: MCP, Render MCP, list_services, MCP setup, MCP server, API key, Bearer token, mcp.render.com, workspace selection.

80

Quality

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SecuritybySnyk

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SKILL.md
Quality
Evals
Security

Quality

Content

100%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 content is concise, executable, and well-structured: copy-paste setup commands with verification steps, token-efficient tables for the tool catalog, and a single clearly-signaled reference file for troubleshooting detail. It assumes Claude's competence and adds only what the model wouldn't know.

DimensionReasoningScore

Conciseness

The body is lean and table-driven, assumes Claude's knowledge (no explanation of what MCP/HTTP/Bearer auth is), and every section earns its place; only minor tightening (repeated dashboard links per tool) keeps it from being flawless.

3 / 3

Actionability

Provides fully executable, copy-paste-ready guidance: a complete mcp.json snippet, the `claude mcp add --transport http` command, the `codex mcp add` command, an `export` line, and a `list_services()` verification step.

3 / 3

Workflow Clarity

Each setup path is a numbered 1→2→3→restart→verify sequence with an explicit validation checkpoint (`list_services()`), and the Common Mistakes table adds an error-recovery reference for the most fragile steps.

3 / 3

Progressive Disclosure

SKILL.md is an organized overview (When to Use, Connection Details, Setup, Catalog) that offloads detail to a single one-level-deep reference, references/troubleshooting.md, which exists as a real file and is clearly signaled in both the Troubleshooting and References sections.

3 / 3

Total

12

/

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 specific, complete, and well-triggered: it states concrete capabilities, provides an explicit 'Use when' clause, and lists natural trigger terms scoped to a single product niche. It uses third person and avoids vague fluff.

DimensionReasoningScore

Specificity

Enumerates multiple concrete capabilities — 'setup per tool (Cursor, Claude Code, Codex), authentication, workspace selection, tool catalog, and troubleshooting' — matching the anchor for listing multiple specific concrete actions.

3 / 3

Completeness

Explicitly answers both 'what' ('Connects and configures the Render MCP server') and 'when' ('Use when MCP is not configured, list_services() fails...'), matching the top anchor with explicit triggers.

3 / 3

Trigger Term Quality

Includes an explicit trigger-terms list ('MCP, Render MCP, list_services, MCP setup, MCP server, API key, Bearer token, mcp.render.com, workspace selection') covering natural phrases a user would actually say, plus the 'Use when...' clause.

3 / 3

Distinctiveness Conflict Risk

Scoped tightly to the Render MCP server with product-specific triggers (mcp.render.com, list_services), giving it a clear niche unlikely to trigger 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
openai/plugins
Reviewed

Table of Contents

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