omnicheck-gitlab

omnicheck-gitlab is a skill for Claude Code from nexiouscaliver/OmniForge. It costs 41 tokens per session (3,071 once invoked), scanned A, original, MIT.

A workflow for checking whether review comments on a GitLab merge request, which is a proposed code change, were addressed in the current code.

In plain words
What is it for?
Use it on a GitLab merge request to compare discussion findings with the current difference, identify unaddressed comments, and post follow-up reminders. It can offer approval when all findings are verified.
Why use it?
It prevents requested fixes from being missed when a change was made without updating or resolving the discussion thread.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions subagents.

Part of the omniforge plugin — 8 skills shipped together

Good fit Use it on a GitLab merge request to compare discussion findings with the current difference, identify unaddressed comments, and post follow-up reminders. It can offer approval when all findings are verified.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/nexiouscaliver/omniforge/omnicheck-gitlab
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 nexiouscaliver/OmniForge --skill omnicheck-gitlab
Clone the repo
git clone --depth 1 https://github.com/nexiouscaliver/OmniForge

Made for: Claude Code.

Or install omniforge, the plugin that ships this one along with the rest of its 8 skills.

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 omnicheck-gitlab

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

agentmods 80×15 button for omnicheck-gitlab

Your own site · 80×15
<a href="https://agentmods.dev/skills/nexiouscaliver/omniforge/omnicheck-gitlab"><img src="https://agentmods.dev/badge/skills/nexiouscaliver/omniforge/omnicheck-gitlab.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,071 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 $0.00041 $0.03071
Opus 5 $0.00020 $0.01536
Sonnet 5 $0.00008 $0.00614
Haiku 4.5 $0.00004 $0.00307

Measured 8d ago against content hash 82c8c2a4f701, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

omnicheck-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 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.

plugins/omniforge/skills/omnicheck-gitlab/SKILL.md · 318 lines

How it starts

The opening of the file, as written. The whole thing — 318 lines — stays where its author put it; the contents beside it link to each section on GitHub.

OmniCheck

Verify whether requested MR changes have been applied — diff analysis + targeted nudge comments.

Check all discussion threads on a GitLab MR against the current diff. Resolved threads are marked APPLIED. Unresolved threads are analyzed by a subagent to determine if the fix was applied silently or not at all. Unaddressed threads receive nudge replies and a summary comment. When every finding is verified applied, offer to approve the MR (as the OmniCheck bot when OMNICHECK_BOT_TOKEN is set).

Core principle: Thread status check + diff analysis + user approval gate = accurate, non-spammy follow-up — and, when clean, a one-keystroke approval.

Announce at start: "I'm using OmniCheck to verify findings on MR !{id}."

Prerequisites

  • glab CLI authenticated (glab auth status to verify)
  • Git repository with remote pointing to GitLab
  • Current working directory is in the git repo
  • MR must have discussion threads

Input Parsing

Accept any of: MR number (136), prefixed (!136), or full GitLab URL. Extract MR ID. If URL provided, extract project path and MR IID.

The Process

Phase 1: GATHER   — fetch all threads + MR diff/data
Phase 2: ANALYZE  — single subagent checks each open thread against the diff
Phase 3: REPORT   — present status table, then branch:
                     Branch A (unaddressed findings): user approves nudge list
                     Branch B (all verified):         "Approve MR? [Y/n]"
Phase 4: ACT      — Branch A: reply on each NOT_APPLIED thread + summary comment
                     Branch B: approve_mr() + summary comment
Phase 5: DONE     — no cleanup needed (no worktrees)

Auto-approval (Branch B) is OFF by default. It only appears when NOT_APPLIED + NEEDS_HUMAN = 0, and only fires if the user answers Y. When OMNICHECK_BOT_TOKEN is set, approve_mr approves as the bot so it can clear the gate even when "Prevent approval by creator/committer" blocks the human user. See the setup guide.

Read the full file on GitHub · 318 lines

Files

What ships with it

2 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.

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. 8d ago First seen · 318 lines · 41 tokens per session scan A 82c8c2a4f701

Subscribe to this mod's changes

omnicheck-gitlab is a skill published in the GitHub repository nexiouscaliver/OmniForge (4 stars, last pushed 3d ago), licensed MIT. It adds 41 tokens to every session and 3,071 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 2026-08-31.