A task workflow that keeps working through a product requirements document until every listed requirement passes verification.

It helps finish larger coding tasks across repeated work sessions, track requirements, and verify the result.

It prevents multi-step work from stopping early or being marked complete without checking each requirement.

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/ralph/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/ralph/github.svg)](https://agentmods.dev/skills/kirti12025/gitlab-mcp/ralph)

Your own site

<a href="https://agentmods.dev/skills/kirti12025/gitlab-mcp/ralph"><img src="https://agentmods.dev/badge/skills/kirti12025/gitlab-mcp/ralph/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/kirti12025/gitlab-mcp/ralph"><img src="https://agentmods.dev/badge/skills/kirti12025/gitlab-mcp/ralph.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 688 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	$0.00036	$0.00688
Opus 5.5	$0.00014	$0.00275
Sonnet 5.5	$0.00007	$0.00138
Haiku 4.5	$0.00004	$0.00069

Measured 2mo ago against content hash 49195a0d126e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ralph 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 2mo 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 ralph — 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/ralph/SKILL.md · 86 lines

How it starts

The opening of the file, as written. The whole thing — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Ralph

Ralph is a PRD-driven persistence loop that keeps working on a task until ALL user stories have passes: true and are reviewer-verified.

When to Use

Task requires guaranteed completion with verification
Work may span multiple iterations and needs persistence
Task benefits from structured PRD-driven execution

When NOT to Use

Full autonomous pipeline → use /omg-autopilot
Explore or plan before committing → use /plan
Quick one-shot fix → delegate to @executor

Flags

--no-prd: Skip PRD generation, work in legacy mode (for trivial fixes)
--no-deslop: Skip the mandatory post-review cleanup pass

Steps

1. PRD Setup (first iteration)

Check if .omc/prd.json exists via omg_read_prd
If none exists, generate a PRD scaffold with task-specific acceptance criteria
CRITICAL: Replace generic criteria with specific, testable ones
Initialize progress tracking

2. Pick Next Story

Read PRD via omg_read_prd
Select highest-priority story with passes: false

3. Implement Current Story

Delegate to @executor at appropriate complexity level
If sub-tasks are discovered, add as new stories to PRD

4. Verify Acceptance Criteria

For EACH criterion, verify with fresh evidence
Run relevant checks (test, build, lint, typecheck)
If any criterion NOT met, continue working

5. Mark Story Complete

Set passes: true via omg_update_story
Record progress in progress.txt

6. Check PRD Completion

Call omg_check_completion
If NOT all complete, loop to Step 2
If ALL complete, proceed to verification

7. Reviewer Verification

@verifier checks against specific acceptance criteria from PRD
@architect reviews for architectural soundness

7.5 Mandatory Cleanup Pass

Unless --no-deslop, run /ai-slop-cleaner on changed files only

7.6 Regression Re-verification

Re-run all tests after cleanup pass
Only proceed after regression tests pass

8. Completion

On approval: run /cancel for clean exit
On rejection: fix issues, re-verify, loop back

Read the full file on GitHub · 86 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.

2mo ago First seen · 86 lines · 36 tokens per session scan A 49195a0d126e

Subscribe to this mod's changes

ralph is a skill published in the GitHub repository kirti12025/gitlab-mcp (0 stars, last pushed 3mo ago), licensed MIT. It adds 36 tokens to every session and 688 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to ralph, differing in 0 lines, and is treated as a copy.

Planning Project management

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recipe-create-meet-space

Create a Google Meet meeting space and share the join link.

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workthreads

SpecStory Workthreads - a weekly work-thread rollup across a team's repos from SpecStory coding histories (any agent - Claude Code, Codex, Cursor, Gemini, and more). It groups the window's sessions into threads of work per project and labels each new / open / recently closed, so a lead sees what shipped, what is still…

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atmos-config

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cloudposse/atmos · 31 tokens

qa-project-bootstrap

Onboard a new QA engineer to an existing codebase, or audit an existing test architecture. Produces a 30-day ramp plan: codebase orientation, framework walkthrough, test architecture audit, mentorship pairing, and first-test guidance. Use when: "QA onboarding," "new tester," "ramp up," "test architecture audit,"…

petrkindlmann/qa-skills · 124 tokens

remove

Remove a deployed framework or addon from the current workspace.

jmagly/aiwg · 12 tokens

gitlab-mcp: Skill for Claude Code