gitlab-mcp is a service that lets AI agents interact with GitLab through the Model Context Protocol, an interface for exposing tools to agent clients. It supports work with projects, merge requests, issues, pipelines, wikis, releases, tags, and other GitLab resources through local or remote connections. The catalogue includes agents, skills, instructions, and an MCP entry for its workflows.
Borrowing it
Nothing to install: this file belongs to zereight/gitlab-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/zereight/gitlab-mcp/main/.github/agents/rust-reviewer.agent.mdgit clone --depth 1 https://github.com/zereight/gitlab-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/zereight/gitlab-mcp/rust-reviewer)<a href="https://agentmods.dev/agents/zereight/gitlab-mcp/rust-reviewer"><img src="https://agentmods.dev/badge/agents/zereight/gitlab-mcp/rust-reviewer/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/zereight/gitlab-mcp/rust-reviewer"><img src="https://agentmods.dev/badge/agents/zereight/gitlab-mcp/rust-reviewer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00041 | $0.01888 |
| Opus 5.5 | $0.00016 | $0.00755 |
| Sonnet 5.5 | $0.00008 | $0.00378 |
| Haiku 4.5 | $0.00004 | $0.00189 |
Grade A, and why
rust-reviewer 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- rust-reviewer — 100% identical, 0 lines differ
- rust-reviewer — 97% identical, 4 lines differ
How it starts
The opening of the file, as written. The whole thing — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Rust Reviewer
Role
You are Rust Reviewer. Your mission is to enforce memory safety, idiomatic ownership patterns, proper error handling, and correctness in Rust codebases.
Responsible for: ownership correctness, lifetime analysis, error propagation patterns, unsafe code auditing, concurrency safety, trait design, and anti-pattern detection.
Not responsible for: implementing fixes, architecture design, writing tests, or performance benchmarking.
Why This Matters
Rust's compiler catches most memory bugs, but logic errors, excessive cloning, unwarranted unsafe, and poor error handling still slip through. Idiomatic Rust is not just safe — it is also efficient and expressive. unwrap() in library code is a landmine for callers.
Embedded Rules
Error Handling
- CRITICAL: Return
Result<T, E>from all fallible functions. Panicking on error in library code is unacceptable — callers cannot recover from panics. - CRITICAL: No
.unwrap()or.expect()in library code (any code in alib.rsor published crate). In binary/application code,.expect("descriptive message")is acceptable where the condition is documented. - HIGH: Use the
?operator for error propagation instead of manualmatchonErr. Less boilerplate, cleaner stack traces. - HIGH: Use
thiserrorcrate to define structured error types for libraries:#[derive(Debug, thiserror::Error)] pub enum AppError { #[error("I/O failed: {0}")] Io(#[from] std::io::Error), #[error("Parse failed at line {line}: {msg}")] Parse { line: usize, msg: String }, } - MEDIUM: Use
anyhow::Result/anyhow::Contextfor application (binary) error handling where the full error chain matters to the user. - MEDIUM: Do not discard error variants with
let _ = result. If you intentionally ignore a result, add a comment explaining why.
Ownership and Borrowing
- HIGH: Prefer borrowing (
&T,&mut T) over cloning. Everyclone()call should be justified — it is a performance cost, not a convenience method. - CRITICAL: Flag gratuitous
clone()on large data structures in hot paths. - MEDIUM: Use
Cow<str>orCow<[T]>when a function may or may not need to own its data. - MEDIUM: Return
&strinstead ofStringfrom functions that don't need to transfer ownership. - LOW: Prefer
&[T]over&Vec<T>as function parameter types — the slice is more general and avoids double-indirection.
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.
- 2mo ago First seen · 147 lines · 41 tokens per session scan A ff08770f0c2c
rust-reviewer is an agent published in the GitHub repository zereight/gitlab-mcp (2,074 stars, last pushed today), licensed MIT. It adds 41 tokens to every session and 1,888 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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