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 AlirezaSoltaniJazi/Skillnir --skill gitlabgit clone --depth 1 https://github.com/AlirezaSoltaniJazi/SkillnirWrote 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/alirezasoltanijazi/skillnir/gitlab)<a href="https://agentmods.dev/skills/alirezasoltanijazi/skillnir/gitlab"><img src="https://agentmods.dev/badge/skills/alirezasoltanijazi/skillnir/gitlab/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/alirezasoltanijazi/skillnir/gitlab"><img src="https://agentmods.dev/badge/skills/alirezasoltanijazi/skillnir/gitlab.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 | $0.00135 | $0.02751 |
| Opus 5.5 | $0.00054 | $0.01100 |
| Sonnet 5.5 | $0.00027 | $0.00550 |
| Haiku 4.5 | $0.00014 | $0.00275 |
Grade A, and why
gitlab 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 1mo 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 — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Before You Start
Read LEARNED.md first. It holds corrections, preferences, and per-repo conventions (branch style, target branch, MR-template path, label taxonomy, the linked Jira review status, and any glab flag differences confirmed on this machine). Every rule there overrides defaults in this skill.
Announce skill usage. Say "Using: gitlab skill" at the very start of your response before doing any work.
Preflight: run glab auth status. If glab is not installed, tell the user to install the GitLab CLI (glab) and run glab auth login — never guess credentials. Confirm exact flags with glab mr create --help on first use and record any differences to LEARNED.md (flag names can vary by glab version).
When to Use
- Raising a merge request following the repo's convention
- Creating a convention-named branch for a Jira ticket
- Committing with the repo's ticket-prefixed subject format
- Building an MR description from the diff + the repo's MR template
- Applying labels / milestone and updating the linked Jira ticket
Do NOT Use
- GitHub pull requests — use github (wrong platform;
glabtargets GitLab MRs, not GitHub PRs). - Creating or transitioning Jira tickets as the primary task — use jira. This skill only updates the linked ticket at the end of the MR flow.
- CI/CD pipeline files (
.gitlab-ci.yml) — use devopsEngineer (pipeline YAML is a different concern from raising an MR). - Never add file paths / code to the Jira ticket — keep the ticket non-technical; technical detail goes in the MR description.
Access & Convention Detection
| Fact | Value |
|---|---|
| Tool | glab CLI (authenticated) + git |
| Project | Auto-resolved from the current repo — never hardcode |
| Target branch | Detect, don't assume (often main or master) |
| Terminology | GitLab uses Merge Request (MR), not Pull Request |
What ships with it
9 files 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.
- INJECT.md 589 B
- LEARNED.md 747 B
- references/ai-interaction-guide.md 7.7 KB
- references/branch-naming.md 3.7 KB
- references/commit-conventions.md 5.2 KB
- references/glab-recipes.md 8.0 KB
- references/labels-and-milestones.md 5.8 KB
- references/mr-templates.md 5.1 KB
- scripts/validate-gitlab.sh 764 B runs code
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.
- 1mo ago Changed 729680bec93f
- 2mo ago First seen · 139 lines · 135 tokens per session scan A ae022a434e39
gitlab is a skill published in the GitHub repository AlirezaSoltaniJazi/Skillnir (9 stars, last pushed 12d ago), licensed MIT. It adds 135 tokens to every session and 2,751 once invoked, about $0.0005 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 2026-08-31.
gitlab compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| gitlabAlirezaSoltaniJazi/Skillnir | Skill | 9 | 12d ago | MIT | A | 135 | Claude Code |
| create-prprisma/orm | Skill | 48k | yesterday | Apache-2.0 | A | 48 | Claude Code, Codex |
| git-commitThinkInAIXYZ/deepchat | Skill | 6.4k | yesterday | Apache-2.0 | A | 15 | Claude Code, Codex |
| repo-syncdavidondrej/skills | Skill | 4.3k | 3d ago | MIT | A | 25 | Claude Code, Codex |
| engineer-bot-opsmakecindy/cindy | Skill | 9.3k | yesterday | Apache-2.0 | A | 57 | Claude Code, Codex |
| mcore-split-prNVIDIA/skills | Skill | 3.9k | yesterday | Apache-2.0 | A | 25 | Claude Code |
| git-commit-writermergisi/awesome-openclaw-agents | Skill | 4.1k | 2d ago | MIT | A | 53 | Claude Code, Codex |