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 agentmods add skills/vince-winkintel/gitlab-cli-skills/glab-deploy-keynpx skills add vince-winkintel/gitlab-cli-skills --skill glab-deploy-keygit 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-deploy-key)<a href="https://agentmods.dev/skills/vince-winkintel/gitlab-cli-skills/glab-deploy-key"><img src="https://agentmods.dev/badge/skills/vince-winkintel/gitlab-cli-skills/glab-deploy-key.svg" alt="Measured on agentmods" 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 | $0.00059 | $0.00381 |
| Opus 5 | $0.00030 | $0.00191 |
| Sonnet 5 | $0.00012 | $0.00076 |
| Haiku 4.5 | $0.00006 | $0.00038 |
Grade A, and why
glab-deploy-key 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 6d 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 deploy-key
Overview
Manage deploy keys.
USAGE
glab deploy-key <command> [command] [--flags]
COMMANDS
add [key-file] [--flags] Add a deploy key to a GitLab project.
delete <key-id> Deletes a single deploy key specified by the ID.
get <key-id> Returns a single deploy key specified by the ID.
list [--flags] Get a list of deploy keys for the current project.
FLAGS
-h --help Show help for this command.
-R --repo Select another repository. Can use either `OWNER/REPO` or `GROUP/NAMESPACE/REPO` format. Also accepts full URL or Git URL.
Quick start
glab deploy-key --help
Structured output
glab deploy-key list and glab deploy-key get support --output json / -F json for structured output, which is useful for agent automation.
# List deploy keys with JSON output
glab deploy-key list --output json
glab deploy-key list -F json
# Get a specific deploy key with JSON output
glab deploy-key get <key-id> --output json
glab deploy-key get <key-id> -F json
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.
- 6d ago First seen · 48 lines · 59 tokens per session scan A 7cbb2fce5a02
glab-deploy-key is a skill published in the GitHub repository vince-winkintel/gitlab-cli-skills (47 stars, last pushed 4d ago), licensed MIT. It adds 59 tokens to every session and 381 once invoked, about $0.0003 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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