A command that reports the current state of OMG modes, agents, and their progress. These modes are automated workflows such as autopilot, repeated task execution, team work, and quality checks.

Use it to inspect active modes, phases, files changed, test cycles, team tasks, and other recorded progress.

It shows what is running, what has finished, and where an automated workflow may be stuck.

How kirti12025/gitlab-mcp configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to kirti12025/gitlab-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/kirti12025/gitlab-mcp/custom-tool-pipeline-summary/.github/skills/status/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/kirti12025/gitlab-mcp

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/kirti12025/gitlab-mcp/status.svg)](https://agentmods.dev/skills/kirti12025/gitlab-mcp/status)

Your own site

<a href="https://agentmods.dev/skills/kirti12025/gitlab-mcp/status"><img src="https://agentmods.dev/badge/skills/kirti12025/gitlab-mcp/status.svg" alt="Measured on agentmods" height="20"></a>

Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 481 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 100% copy Near-identical to another mod 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.

Model	Per session	Once invoked
Fable 5.1	$0.00037	$0.00481
Opus 5	$0.00018	$0.00241
Sonnet 5	$0.00007	$0.00096
Haiku 4.5	$0.00004	$0.00048

Measured 6d ago against content hash 5852fdb87cd6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

status 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 6d 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

This is a copy

100% identical to status — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.github/skills/status/SKILL.md · 85 lines

What it actually says

Status

Show the current state of all OMG modes, active agents, and progress.

When to Use

Check what mode is currently active
See progress of omg-autopilot, ralph, or team execution
Verify state after a cancel or resume

Workflow

1. Scan State Files

Read .omc/state/ directory for active mode state files:

omg-autopilot-state.json
ralph-state.json
ultrawork-state.json
ultraqa-state.json
team-state.json
self-improve/state/agent-settings.json

2. Report Active Modes

For each active mode, show:

OMG Autopilot:

Current phase (0-5)
Phase name and progress
Files modified so far

Ralph:

Current story (N of M)
Stories passing / total
Linked ultrawork status

Team:

Team name and member count
Current pipeline stage
Task completion (N/M tasks done)

UltraQA:

Current cycle (N of 5)
Last failure summary

Self-Improve:

Current iteration
Best score vs baseline
Improvement percentage
Stop condition proximity

3. Report No Active Modes

If nothing is active: "No active OMG modes. Start with /omg-autopilot, /ralph, or /team."

Output Format

=== OMG Status ===

Mode: OMG Autopilot
Phase: 2/5 (Execution)
Started: 2 minutes ago
Files modified: 12

Mode: Team (linked)
Team: fix-ts-errors
Stage: team-exec
Workers: 3/3 active
Tasks: 2/5 completed

Verbose Mode (--verbose)

With --verbose, also show:

Full state JSON for each active mode
Recent git log (last 5 commits)
.omc/ directory listing

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.

6d ago First seen · 85 lines · 37 tokens per session scan A 5852fdb87cd6

Subscribe to this mod's changes

status is a skill published in the GitHub repository kirti12025/gitlab-mcp (0 stars, last pushed 1mo ago), licensed MIT. It adds 37 tokens to every session and 481 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to status, differing in 0 lines, and is treated as a copy.

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

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gitlab-mcp: Skill for Claude Code