glab

glab is a skill for Claude Code from porcupine-md/jonggrang. It costs 45 tokens per session (3,760 once invoked), scanned A, original, MIT.

A command-line workflow guide for GitLab, a service for hosting code and managing collaborative development. It covers merge requests, issues, continuous integration, releases, and safe handling of shell-special characters in messages.

In plain words
What is it for?
Use it to create and manage merge requests, issues, CI jobs, releases, comments, and work across multiple GitLab installations.
Why use it?
It helps agents perform common GitLab tasks correctly and avoid accidentally changing messages when the shell interprets characters such as backticks or dollar signs.

Skill for Claude Code

Written for Claude Code: dynamic context !`command`. Also seen: reads .claude/ paths; mentions Claude Code.

Good fit Use it to create and manage merge requests, issues, CI jobs, releases, comments, and work across multiple GitLab installations.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/porcupine-md/jonggrang/glab
Install

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.

Any agent
npx skills add porcupine-md/jonggrang --skill glab
Clone the repo
git clone --depth 1 https://github.com/porcupine-md/jonggrang

Made for: Claude Code.

Wrote 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.

agentmods badge for glab

README.md
[![agentmods](https://agentmods.dev/badge/skills/porcupine-md/jonggrang/glab/github.svg)](https://agentmods.dev/skills/porcupine-md/jonggrang/glab)
Your own site
<a href="https://agentmods.dev/skills/porcupine-md/jonggrang/glab"><img src="https://agentmods.dev/badge/skills/porcupine-md/jonggrang/glab/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.

agentmods 80×15 button for glab

Your own site · 80×15
<a href="https://agentmods.dev/skills/porcupine-md/jonggrang/glab"><img src="https://agentmods.dev/badge/skills/porcupine-md/jonggrang/glab.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,760 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00045 $0.03760
Opus 5 $0.00023 $0.01880
Sonnet 5 $0.00009 $0.00752
Haiku 4.5 $0.00005 $0.00376

Measured 5d ago against content hash d36ed3000cb7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

glab 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 5d 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

  • glab — 100% identical, 14 lines differ
skills/library/vcs/glab/SKILL.md · 280 lines

How it starts

The opening of the file, as written. The whole thing — 280 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GitLab Workflow Skill

GitLab workflow management using glab CLI for merge requests, issues, and Git best practices.

Multiple GitLab Instances

glab auto-detects the GitLab host from your git remote. No GITLAB_HOST is needed when working inside a repository. For non-origin remotes (e.g. a local GDK instance added as a secondary remote), use glab config set remote_alias <remote>. Set GITLAB_HOST only when running outside a git repository or for a one-off command targeting a specific instance. See references/multi-host.md for non-origin remote setup and hostname derivation from remote URLs.

⚠️ Message Escaping — Common Trap

If your message contains backticks (`), $, or other shell special characters, NEVER inline them directly in -m "...". The shell interprets backticks as command substitution, silently mangling your message and producing errors like /bin/bash: line 1: client_name: command not found.

This has caused real production failures: agents posting malformed comments to GitLab MRs/issues, followed by apologetic correction notes.

❌ DON'T — inline backticks in double-quoted -m

# BROKEN: shell tries to execute `client_name` as a command
glab mr note 100 -m "Use `client_name` and `wor/` here." -R org/repo
# Error: /bin/bash: line 1: client_name: command not found
# The comment is posted as: "Use  and  here." (identifiers silently stripped)

# Also BROKEN: backslash-escaped backticks break in nested/scripted contexts
glab mr note 100 -m "Use \`client_name\`" -R org/repo
# Works in simple cases but fails when the command is double-quoted by a caller:
# bash -c "glab mr note 100 -m \"Use \`client_name\`\""  → still executes client_name

✅ DO — write to a file first, then pass via $(cat ...)

Pick a path appropriate for your environment (a mktemp result, a scoped workspace tmp file, whatever fits — the skill doesn't prescribe a specific path; agents choose one that's unique to their invocation to avoid clobbering parallel runs):

Read the full file on GitHub · 280 lines

Changes

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.

  1. 5d ago First seen · 280 lines · 45 tokens per session scan A d36ed3000cb7

Subscribe to this mod's changes

glab is a skill published in the GitHub repository porcupine-md/jonggrang (11 stars, last pushed today), licensed MIT. It adds 45 tokens to every session and 3,760 once invoked, about $0.0002 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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