Agent skill

Tool Review

by nesquikm in nesquikm/mcp-rubber-duck

Review an MCP tool implementation for correctness, pattern adherence, and best practices.

MITAuto-check passedAgent Workflows

Install Tool Review

skills CLI
$ npx skills add nesquikm/mcp-rubber-duck --skill tool-review -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install nesquikm/mcp-rubber-duck tool-review --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/nesquikm/mcp-rubber-duck.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/tool-review .claude/skills/tool-review && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
tool-review
GitHub stars
178
Token cost
~420 tokens
SKILL.md length
186 words
Files
1
Skills in repo
3
Repo updated
First seen
Licence
MIT

At a glance

Review an MCP tool implementation for correctness, pattern adherence, and best practices.

  • Works in 4 steps: Locate the tool → Check against project patterns → Check for common issues → …
  • Tasks that involve MCP servers
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Tool Review is an agent skill from nesquikm/mcp-rubber-duck. Review an MCP tool implementation for correctness, pattern adherence, and best practices. Use after implementing or modifying a tool.

Its SKILL.md is about 420 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows, covering MCP servers. The repository describes itself as: An MCP server that acts as a bridge to query multiple OpenAI-compatible LLMs with MCP tool access. Just like rubber duck debugging, explain your problems to various AI "ducks"… The licence is MIT.

When your agent uses it

  • Tasks that involve MCP servers

Example prompts

  • “/tool-review”

Requirements

  • Pre-approved tools (allowed-tools): Read, Grep, Glob

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Locate the tool
  2. Check against project patterns
  3. Check for common issues
  4. Report

What it can do on your machine

Read from SKILL.md and the folder at commit 4e321d9. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Grep
    • Glob

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Tool Review loads about 420 tokens when it runs. Until then it costs about 36 tokens; SKILL.md has 186 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~36
When it runs · the whole SKILL.md, loaded when a task matches
~420

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from nesquikm/mcp-rubber-duck at commit 4e321d9, republished under its MIT licence (© nesquikm). 186 words, ~420 tokens.

Download SKILL.mdSave it as .claude/skills/tool-review/SKILL.md (or your agent's skills folder).
name
tool-review
description
Review an MCP tool implementation for correctness, pattern adherence, and best practices. Use after implementing or modifying a tool.
allowed-tools
Read, Grep, Glob
argument-hint
<tool-name or file path>

Tool Review

Review the MCP tool implementation for: $ARGUMENTS

Process

1. Locate the tool

Find the tool implementation in src/tools/ and its registration in src/server.ts.

2. Check against project patterns

Verify each of these (from CLAUDE.md):

Response format:

  • Returns { content: [{ type: 'text', text: '...' }] } on success
  • Returns { content: [{ type: 'text', text: 'Error: ...' }], isError: true } on error

Input validation:

  • Required arguments are checked with clear error messages
  • Uses appropriate types from Zod schemas where applicable

Registration in server.ts:

  • Tool is imported with .js extension in the import path
  • Added to getTools() array with correct JSON Schema for inputs
  • Has a case in the CallToolRequestSchema handler switch

Dependencies:

  • Uses the right dependencies (providerManager, conversationManager, healthMonitor, etc.)
  • Follows the same injection pattern as existing tools
3. Check for common issues
  • Missing error handling for provider calls
  • Hardcoded values that should come from config
  • Missing or incorrect TypeScript types
  • Security issues (unsanitized input, injection risks)
4. Report

For each check:

  • ✓ Pass — follows the pattern correctly
  • ✗ Fail — what's wrong and how to fix it
  • ⚠ Warning — works but could be improved

End with a summary: APPROVED or NEEDS CHANGES with specific action items.

© nesquikm, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .claude/skills/tool-review of nesquikm/mcp-rubber-duck.

Open the folder on GitHubat commit 4e321d9

Compare with similar skills

Tool Review next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Tool Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Tool Review this skillnesquikm/mcp-rubber-duck178—~420Automated safety check: PassMIT
MCP Server Builderanthropics/skills180k63 repos~2.3kAutomated safety check: PassApache-2.0
MCP Server BuildershareAI-lab/learn-claude-code78k4 repos~1.2kAutomated safety check: PassMIT
MCP Integration for Pluginsanthropics/claude-plugins-official38k11 repos~3.1kAutomated safety check: PassApache-2.0
Microsoft Skill CreatorMicrosoftDocs/mcp1.9k3 repos~2.1kAutomated safety check: PassCC-BY-4.0
Crush Configurationcharmbracelet/crush29k—~3.7kAutomated safety check: PassCustom licence

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Categories

Questions about Tool Review

What does Tool Review do?

Review an MCP tool implementation for correctness, pattern adherence, and best practices. Tool Review is an agent skill from nesquikm/mcp-rubber-duck. Review an MCP tool implementation for correctness, pattern adherence, and best practices.

When should I use Tool Review?

Tool Review fits situations like: tasks that involve MCP servers.

How do I install Tool Review in Claude Code?

Run `npx skills add nesquikm/mcp-rubber-duck --skill tool-review -a claude-code`. Or copy the skill folder (.claude/skills/tool-review in nesquikm/mcp-rubber-duck) into .claude/skills/tool-review in your project. Claude Code loads it when a task matches its description.

How do I install Tool Review in Codex?

Run `npx skills add nesquikm/mcp-rubber-duck --skill tool-review -a codex`. Or copy the skill folder (.claude/skills/tool-review in nesquikm/mcp-rubber-duck) into .agents/skills/tool-review in your project. Codex loads it when a task matches its description.

Can I use Tool Review in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add nesquikm/mcp-rubber-duck --skill tool-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/tool-review, .gemini/skills/tool-review, .github/skills/tool-review and .opencode/skills/tool-review in your project.

What does Tool Review need to run?

SKILL.md names no scripts, command-line tools or credentials: Tool Review is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Grep, Glob.

Does Tool Review access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Tool Review safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Tool Review use?

Tool Review is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Tool Review use?

About 420 tokens (SKILL.md is roughly 1.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Tool Review?

Skills that share tags, products or a category with Tool Review: MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars), MCP Integration for Plugins (anthropics/claude-plugins-official, 38k stars) and Microsoft Skill Creator (MicrosoftDocs/mcp, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Tool Review?

nesquikm (a GitHub user) maintains it in nesquikm/mcp-rubber-duck, which has 178 GitHub stars. The repository holds 3 skills in this directory. The repository was last updated on October 9, 2026.

Source: nesquikm/mcp-rubber-duck on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.