glab-completion

glab-completion is a skill for Claude Code, Codex from serejaris/kimi-skills. It costs 56 tokens per session (880 once invoked), scanned A, original, MIT.

A glab command that generates tab-completion scripts for Bash, Zsh, Fish, and PowerShell. Shell completion fills in commands and options as you type.

In plain words
What is it for?
Setting up automatic completion for glab in your shell.
Why use it?
It makes interactive glab commands quicker to enter and reduces typing errors.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Setting up automatic completion for glab in your shell.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/serejaris/kimi-skills/glab-completion
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 serejaris/kimi-skills --skill glab-completion
Clone the repo
git clone --depth 1 https://github.com/serejaris/kimi-skills

Made for: Claude Code, Codex.

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-completion

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/serejaris/kimi-skills/glab-completion"><img src="https://agentmods.dev/badge/skills/serejaris/kimi-skills/glab-completion.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 56 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 880 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.
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 $0.00056 $0.00880
Opus 5 $0.00028 $0.00440
Sonnet 5 $0.00011 $0.00176
Haiku 4.5 $0.00006 $0.00088

Measured 9d ago against content hash 1d130742c643, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

glab-completion 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 9d 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.

skills/gitlab-cli-guide/glab-completion/SKILL.md · 120 lines

How it starts

The opening of the file, as written. The whole thing — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.

glab completion

概览


  This command outputs code meant to be saved to a file, or immediately                                                 
  evaluated by an interactive shell. To load completions:                                                               
                                                                                                                        
  ### Bash                                                                                                              
                                                                                                                        
  To load completions in your current shell session:                                                                    
                                                                                                                        
  ```shell                                                                                                              
  source <(glab completion -s bash)                                                                                     

To load completions for every new session, run this command one time:

Linux
glab completion -s bash > /etc/bash_completion.d/glab                                                                 
macOS
glab completion -s bash > /usr/local/etc/bash_completion.d/glab                                                       

Zsh

If shell completion is not already enabled in your environment you must
enable it. Run this command one time:

echo "autoload -U compinit; compinit" >> ~/.zshrc                                                                     

To load completions in your current shell session:

source <(glab completion -s zsh); compdef _glab glab                                                                  

To load completions for every new session, run this command one time:

Linux
glab completion -s zsh > "${fpath[1]}/_glab"                                                                          
macOS

For older versions of macOS, you might need this command:

glab completion -s zsh > /usr/local/share/zsh/site-functions/_glab                                                    

The Homebrew version of glab should install completions automatically.

fish

To load completions in your current shell session:

glab completion -s fish | source                                                                                      

To load completions for every new session, run this command one time:

glab completion -s fish > ~/.config/fish/completions/glab.fish                                                        

PowerShell

To load completions in your current shell session:

glab completion -s powershell | Out-String | Invoke-Expression                                                        

To load completions for every new session, add the output of the above command
to your PowerShell profile.

When installing glab through a package manager, however, you might not need
more shell configuration to support completions.
For Homebrew, see brew shell completion

USAGE

glab completion [--flags]  
     

FLAGS

-h --help   Show help for this command.
--no-desc   Do not include shell completion description.
-s --shell  Shell type: bash, zsh, fish, powershell. (bash)

Read the full file on GitHub · 120 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. 9d ago First seen · 120 lines · 56 tokens per session scan A 1d130742c643

Subscribe to this mod's changes

glab-completion is a skill published in the GitHub repository serejaris/kimi-skills (6 stars, last pushed 1mo ago), licensed MIT. It adds 56 tokens to every session and 880 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 2026-09-03.

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