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 vince-winkintel/gitlab-cli-skills --skill glab-mcpgit clone --depth 1 https://github.com/vince-winkintel/gitlab-cli-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/vince-winkintel/gitlab-cli-skills/glab-mcp)<a href="https://agentmods.dev/skills/vince-winkintel/gitlab-cli-skills/glab-mcp"><img src="https://agentmods.dev/badge/skills/vince-winkintel/gitlab-cli-skills/glab-mcp.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00081 | $0.00410 |
| Opus 5 | $0.00041 | $0.00205 |
| Sonnet 5 | $0.00016 | $0.00082 |
| Haiku 4.5 | $0.00008 | $0.00041 |
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 8d 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.
What it actually says
glab mcp
Overview
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.
Quick start
glab mcp --help
Current behavior
Auto-enabled JSON output
glab mcp serve automatically enables JSON output format when running — no manual flag needed. This improves parsing reliability for AI assistants consuming the MCP server's tool responses.
Unannotated commands excluded
Commands that lack MCP annotations are not registered as MCP tools. This means only explicitly supported commands are exposed to AI assistants, reducing noise and improving reliability. If a GitLab operation you expect isn't available as an MCP tool, it may lack MCP annotations.
Subcommands
See references/commands.md for full --help output.
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.
- 8d ago First seen · 47 lines · 81 tokens per session scan A 01f4352e4eed
glab-mcp is a skill published in the GitHub repository vince-winkintel/gitlab-cli-skills (47 stars, last pushed 6d ago), licensed MIT. It adds 81 tokens to every session and 410 once invoked, about $0.0004 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 2026-08-30.
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