glab-attestation

glab-attestation is a skill for Claude Code, Codex from serejaris/kimi-skills. It costs 66 tokens per session (291 once invoked), scanned A, original, MIT.

A glab command for verifying an attestation attached to a GitLab artifact or file. An attestation is a signed record about where software came from.

In plain words
What is it for?
Verifying the provenance of a specific file or software artifact in a GitLab project.
Why use it?
It helps check an artifact's provenance before trusting or distributing it.

Skill for Claude CodeCodex

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

Good fit Verifying the provenance of a specific file or software artifact in a GitLab project.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/serejaris/kimi-skills/glab-attestation
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-attestation
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-attestation

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/serejaris/kimi-skills/glab-attestation"><img src="https://agentmods.dev/badge/skills/serejaris/kimi-skills/glab-attestation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 66 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 291 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 $0.00066 $0.00291
Opus 5 $0.00033 $0.00146
Sonnet 5 $0.00013 $0.00058
Haiku 4.5 $0.00007 $0.00029

Measured 9d ago against content hash 947e029e8b20, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

glab-attestation 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-attestation/SKILL.md · 44 lines

What it actually says

glab attestation

概览


  Manage software attestations. (EXPERIMENTAL)                                                                          
         
  USAGE  
         
    glab attestation <command> [command] [--flags]                                    
            
  EXAMPLES  
            
    # Verify attestation for the filename.txt file in the gitlab-org/gitlab project.  
    $ glab attestation verify gitlab-org/gitlab filename.txt                          
                                                                                      
    # Verify attestation for the filename.txt file in the project with ID 123.        
    $ glab attestation verify 123 filename.txt                                        
            
  COMMANDS  
            
    verify <project_id> <artifact_path>  Verify the provenance of a specific artifact or file. (EXPERIMENTAL)
         
  FLAGS  
         
    -h --help                            Show help for this command.

快速开始

glab attestation --help

子命令

完整的 --help 输出详见 references/commands.md

Files

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.

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 · 44 lines · 66 tokens per session scan A 947e029e8b20

Subscribe to this mod's changes

glab-attestation is a skill published in the GitHub repository serejaris/kimi-skills (6 stars, last pushed 1mo ago), licensed MIT. It adds 66 tokens to every session and 291 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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