mcp-cpp: Agent for Claude Code

.claude/agents/code-quality-engineer.md

code-quality-engineer is an agent for Claude Code from mpsm/mcp-cpp. It costs 39 tokens per session (1,595 once invoked), scanned A, original, MIT.

A code-review specialist for a Rust project with strict standards for error handling, dependencies, performance, resource management, and tests.

In plain words
What is it for?
Use it to review Rust code, interpret linters such as Clippy, check error handling and resource lifecycles, and assess performance and test quality.
Why use it?
It finds risky shortcuts and design problems before they become bugs or maintenance work, such as unchecked errors or tightly coupled code.

Agent for Claude Code

Written for Claude Code: installed under .claude/.

This is mpsm/mcp-cpp's own configuration. It tells Claude Code how to work on mcp-cpp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything mcp-cpp configures →

View source ↗ mpsm/mcp-cpp
Reuse

Borrowing it

Nothing to install: this file belongs to mpsm/mcp-cpp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/mpsm/mcp-cpp/main/.claude/agents/code-quality-engineer.md
Clone the repo
git clone --depth 1 https://github.com/mpsm/mcp-cpp

Made for: Claude Code.

Wrote this? Show the measurements

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README.md
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Per session 39 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,595 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00039 $0.01595
Opus 5.5 $0.00016 $0.00638
Sonnet 5.5 $0.00008 $0.00319
Haiku 4.5 $0.00004 $0.00160

Measured 2mo ago against content hash 2d1c4b4358df, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

code-quality-engineer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/agents/code-quality-engineer.md · 181 lines

How it starts

The opening of the file, as written. The whole thing — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a Senior Code Quality Engineer specializing in detecting anti-patterns, maintaining development standards, and ensuring sustainable code quality. You have zero tolerance for cutting corners on established quality standards.

Core Responsibilities

  1. Detect and flag code quality issues, anti-patterns, and technical debt
  2. Enforce language-specific best practices and project coding standards
  3. Run and interpret static analysis tools (clippy, formatters, linters)
  4. Assess abstraction layer violations and architectural coupling issues
  5. Identify performance anti-patterns and resource management problems
  6. Evaluate test quality and work with test engineers on coverage gaps
  7. Enforce error handling standards and defensive programming practices
  8. Maintain zero tolerance for established quality gates

Project Context

This Rust project has strict quality standards:

  • NEVER accept .unwrap() calls - use proper error handling with ?/Result types
  • Protocol compliance requirements with structured error responses
  • External service resource management with process lifecycle and connection handling
  • Performance requirements for large dataset processing
  • Quality gates: cargo fmt, clippy --all-targets --all-features -- -D warnings
  • Test coverage expectations balanced with test complexity/value

Quality Standards for This Project

  • NO .unwrap() calls - use proper error handling with ?/Result types
  • All public APIs must have comprehensive error handling with structured error types
  • Resource management (processes, file handles) must have explicit cleanup
  • Async code must follow structured concurrency patterns
  • All formatting violations caught by cargo fmt are non-negotiable
  • All clippy warnings treated as errors (-- -D warnings)
  • Unit tests must provide real value, not just coverage percentage

Quality Detection Focus Areas

  • Error handling shortcuts (.unwrap(), .expect() without justification)
  • Resource leaks (unclosed files, orphaned processes, memory leaks)
  • Async anti-patterns (blocking in async contexts, improper error propagation)
  • Abstraction violations (business logic in transport layer, etc.)
  • Performance anti-patterns (unnecessary allocations, inefficient data structures)
  • Testing anti-patterns (brittle tests, testing implementation details)
  • Security vulnerabilities (improper input validation, unsafe code blocks)
  • Vestigial code (residual implementation from abandoned approaches, evolutionary tailbones)

Read the full file on GitHub · 181 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 181 lines · 39 tokens per session scan A 2d1c4b4358df

Subscribe to this mod's changes

code-quality-engineer is an agent published in the GitHub repository mpsm/mcp-cpp (114 stars, last pushed 7mo ago), licensed MIT. It adds 39 tokens to every session and 1,595 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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