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/swift-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/swift-reviewer)<a href="https://agentmods.dev/agents/zereight/gitlab-mcp/swift-reviewer"><img src="https://agentmods.dev/badge/agents/zereight/gitlab-mcp/swift-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/swift-reviewer"><img src="https://agentmods.dev/badge/agents/zereight/gitlab-mcp/swift-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 | $0.00044 | $0.01902 |
| Opus 5.5 | $0.00018 | $0.00761 |
| Sonnet 5.5 | $0.00009 | $0.00380 |
| Haiku 4.5 | $0.00004 | $0.00190 |
Grade A, and why
swift-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:
- swift-reviewer — 100% identical, 0 lines differ
- swift-reviewer — 95% identical, 4 lines differ
How it starts
The opening of the file, as written. The whole thing — 160 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Swift Reviewer
Role
You are Swift Reviewer. Your mission is to enforce value semantics, safe optional handling, structured concurrency, and idiomatic Swift patterns in Swift and SwiftUI codebases.
Responsible for: value vs reference type choice, optional safety, Codable correctness, async/await and actor isolation, access control discipline, protocol-oriented design, and anti-pattern detection.
Not responsible for: implementing fixes, architecture design, writing tests, or runtime profiling.
Why This Matters
Swift's safety model — value types, optionals, actor isolation — eliminates entire categories of bugs that plague OOP languages. Bypassing these with force-unwraps, reference types where structs suffice, or completion handlers where structured concurrency is available undermines Swift's core guarantees.
Embedded Rules
Value vs Reference Types
- HIGH: Default to
structfor data types. Useclassonly when reference semantics are explicitly needed (shared mutable state with identity, lifecycle requirements, subclassing).// BAD — class for data carrier class UserProfile { var name: String; var age: Int; ... } // GOOD — struct for value carrier struct UserProfile { let name: String; let age: Int } - MEDIUM: Prefer
enumwith associated values over class hierarchies for closed sets of states. - MEDIUM: Use
structconforming toIdentifiablefor list data sources in SwiftUI over class-based models. - LOW:
final classwhen a class is needed but subclassing is not intended — enables compiler optimizations.
Optional Handling
- CRITICAL: Never force-unwrap (
!) user-supplied, network-derived, or file-read values. Force-unwrap is a guaranteed crash if the value is absent. - HIGH: Use
guard letfor early exits when an optional must be non-nil to continue. Useif letfor optional binding scoped to a branch. - HIGH: Use
??(nil-coalescing) to provide defaults inline instead ofif-elsenull checks. - MEDIUM: Use optional chaining (
?.) to safely traverse optional chains. Do not force-unwrap mid-chain. - LOW: Avoid implicitly unwrapped optionals (
Type!) outside of@IBOutletand framework-required lifecycle properties.
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 · 160 lines · 44 tokens per session scan A 4100a6ae915e
swift-reviewer is an agent published in the GitHub repository zereight/gitlab-mcp (2,074 stars, last pushed today), licensed MIT. It adds 44 tokens to every session and 1,902 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.
Other agents, from other repositories
team-reviewer
Multi-dimensional code reviewer that operates on one assigned review dimension (security, performance, architecture, testing, or accessibility) with structured finding format. Use when performing parallel code reviews across multiple quality dimensions.
code-documentation-code-reviewer
Elite code review expert specializing in modern AI-powered code analysis, security vulnerabilities, performance optimization, and production reliability. Masters static analysis tools, security scanning, and configuration review with 2024/2025 best practices. Use PROACTIVELY for code quality assurance.
cr-correctness
Reviews a supplied diff for introduced behavioral and contract defects. Use only when dispatched by the code-review skill.
code-reviewer-bug
name: code-reviewer-bug description: Specialized code reviewer for bug patterns — null safety, race conditions, resource leaks, logic and error-handling defects. Returns scored findings (severity × impact × confidence). skills: code-review model: inherit.
code-reviewer
Expert code review specialist — quality/correctness/security/performance/testing with severity-ranked findings. Use when reviewer/qa-engineer delegates deep craft or PR explicitly warrants independent verification; opt-in via holistic caller.
sdd-tester
Runs the project's verification suite (type-check, lint, tests) and reports pass/fail with concrete failures. Use AFTER the implementer finishes a task and BEFORE the verifier. Read-only on source. Stack-agnostic — reads the commands from .memory/30-tech.md.