Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add serejaris/kimi-skills --skill glab-mcpgit clone --depth 1 https://github.com/serejaris/kimi-skillsWrote 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/skills/serejaris/kimi-skills/glab-mcp)<a href="https://agentmods.dev/skills/serejaris/kimi-skills/glab-mcp"><img src="https://agentmods.dev/badge/skills/serejaris/kimi-skills/glab-mcp/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/skills/serejaris/kimi-skills/glab-mcp"><img src="https://agentmods.dev/badge/skills/serejaris/kimi-skills/glab-mcp.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 | $0.00103 | $0.00519 |
| Opus 5 | $0.00051 | $0.00260 |
| Sonnet 5 | $0.00021 | $0.00104 |
| Haiku 4.5 | $0.00010 | $0.00052 |
Grade A, and why
glab-mcp 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.
glab mcp
概览
Manage Model Context Protocol server features for GitLab integration.
The MCP server exposes GitLab features as tools for use by
AI assistants (like Claude Code) to interact with GitLab projects, issues,
merge requests, pipelines, and other resources.
This feature is an experiment and is not ready for production use.
It might be unstable or removed at any time.
For more information, see
https://docs.gitlab.com/policy/development_stages_support/.
USAGE
glab mcp <command> [command] [--flags]
EXAMPLES
$ glab mcp serve
COMMANDS
serve Start a MCP server with stdio transport. (EXPERIMENTAL)
FLAGS
-h --help Show help for this command.
快速开始
glab mcp --help
v1.86.0 变更
自动启用 JSON 输出
从 v1.86.0 起，glab mcp serve 运行时会自动启用 JSON 输出格式——无需手动添加参数。这提高了 AI 助手解析 MCP 服务器工具响应时的可靠性。
排除无注解的命令
缺少 MCP 注解的命令不再注册为 MCP 工具。这意味着只有明确支持的命令才会暴露给 AI 助手，从而减少干扰并提高可靠性。如果你期望的某个 GitLab 操作未作为 MCP 工具提供，可能是因为当前版本中该命令缺少 MCP 注解。
子命令
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 58 lines · 103 tokens per session scan A 51312d7edbdc
glab-mcp is a skill published in the GitHub repository serejaris/kimi-skills (6 stars, last pushed 1mo ago), licensed MIT. It adds 103 tokens to every session and 519 once invoked, about $0.0005 per session on Opus 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 2026-09-03.
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