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-schedulegit 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-schedule)<a href="https://agentmods.dev/skills/vince-winkintel/gitlab-cli-skills/glab-schedule"><img src="https://agentmods.dev/badge/skills/vince-winkintel/gitlab-cli-skills/glab-schedule.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 | $0.00056 | $0.00363 |
| Opus 5 | $0.00028 | $0.00181 |
| Sonnet 5 | $0.00011 | $0.00073 |
| Haiku 4.5 | $0.00006 | $0.00036 |
Grade A, and why
glab-schedule 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 schedule
Overview
Work with GitLab CI/CD schedules.
USAGE
glab schedule <command> [command] [--flags]
COMMANDS
create [--flags] Schedule a new pipeline.
delete <id> [--flags] Delete the schedule with the specified ID.
list [--flags] Get the list of schedules.
run <id> Run the specified scheduled pipeline.
update <id> [--flags] Update a pipeline schedule.
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 schedule --help
Structured output
glab schedule list supports --output json / -F json for structured output, which is useful for agent automation.
# List schedules with JSON output
glab schedule list --output json
glab schedule list -F json
Schedule variables
Schedule variable keys are validated before schedule creation. Empty keys are rejected, so check generated --variable <key>:<value> input before creating schedules.
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 · 49 lines · 56 tokens per session scan A 54101e720770
glab-schedule is a skill published in the GitHub repository vince-winkintel/gitlab-cli-skills (47 stars, last pushed 6d ago), licensed MIT. It adds 56 tokens to every session and 363 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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