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.
curl -O https://raw.githubusercontent.com/kirti12025/gitlab-mcp/custom-tool-pipeline-summary/.github/skills/omg-autopilot/SKILL.mdgit clone --depth 1 https://github.com/kirti12025/gitlab-mcpWrote 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.
[](https://agentmods.dev/skills/kirti12025/gitlab-mcp/omg-autopilot)<a href="https://agentmods.dev/skills/kirti12025/gitlab-mcp/omg-autopilot"><img src="https://agentmods.dev/badge/skills/kirti12025/gitlab-mcp/omg-autopilot/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.
<a href="https://agentmods.dev/skills/kirti12025/gitlab-mcp/omg-autopilot"><img src="https://agentmods.dev/badge/skills/kirti12025/gitlab-mcp/omg-autopilot.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00052 | $0.00703 |
| Opus 5 | $0.00026 | $0.00351 |
| Sonnet 5 | $0.00010 | $0.00141 |
| Haiku 4.5 | $0.00005 | $0.00070 |
Grade A, and why
omg-autopilot 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 10d 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.
This is a copy
100% identical to omg-autopilot — 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.
How it starts
The opening of the file, as written. The whole thing — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OMG Autopilot
OMG Autopilot takes a brief product idea and autonomously handles the full lifecycle: requirements analysis, technical design, planning, parallel implementation, QA cycling, and multi-perspective validation.
When to Use
- User wants end-to-end autonomous execution from an idea to working code
- Task requires multiple phases: planning, coding, testing, and validation
- User wants hands-off execution
When NOT to Use
- User wants to explore options → use
/plan - Single focused code change → use
/ralphor delegate to @executor - Quick fix or small bug → delegate directly to @executor
Execution Pipeline
Phase 0 - Expansion
Turn the user's idea into a detailed spec.
- If ralplan consensus plan exists (
.omc/plans/ralplan-*.md): Skip Phase 0 AND Phase 1 → jump to Phase 2 - If deep-interview spec exists (
.omc/specs/deep-interview-*.md): Use pre-validated spec, skip to Phase 1 - If input is vague: Offer redirect to
/deep-interviewfor clarification - Otherwise: @analyst extracts requirements, @architect creates technical specification
- Output:
.omc/autopilot/spec.md - Track phase:
omg_write_state(phase="expansion_done")
Phase 1 - Planning
Create an implementation plan from the spec.
- @architect creates plan (direct mode)
- @critic validates plan
- Output:
.omc/plans/autopilot-impl.md - Track:
omg_write_state(phase="planning_done")
Phase 2 - Execution
Implement the plan using parallel execution.
- Route tasks by complexity to @executor
- Run independent tasks in parallel
- Track:
omg_write_state(phase="execution_done")
Phase 3 - QA
Cycle until all tests pass (max 5 cycles).
- Build, lint, test, fix failures
- Stop early if the same error repeats 3 times (fundamental issue)
- Track:
omg_write_state(phase="qa_done")
Phase 4 - Validation
Multi-perspective review in parallel.
- @architect: Functional completeness
- @security-reviewer: Vulnerability check
- @code-reviewer: Quality review
- All must approve; fix and re-validate on rejection
- Track:
omg_write_state(phase="validation_done")
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.
- 10d ago First seen · 78 lines · 52 tokens per session scan A 44f80577a87f
omg-autopilot is a skill published in the GitHub repository kirti12025/gitlab-mcp (0 stars, last pushed 1mo ago), licensed MIT. It adds 52 tokens to every session and 703 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to omg-autopilot, differing in 0 lines, and is treated as a copy.
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